Alternatives to Pi

Aikido is the all-in-one security platform for development teams to secure their complete stack, from code to cloud. Aikido centralizes all code and cloud security scanners in one place. Aikido offers a range of powerful scanners including static code analysis (SAST), dynamic application security testing (DAST), container image scanning, and infrastructure-as-code (IaC) scanning. Aikido integrates AI-powered auto-fixing features, reducing manual work by automatically generating pull requests to resolve vulnerabilities and security issues. It also provides customizable alerts, real-time vulnerability monitoring, and runtime protection, enabling teams to secure their applications and infrastructure seamlessly.

Asterisk is an innovative platform powered by AI that streamlines the process of identifying, verifying, and addressing security vulnerabilities in codebases, mimicking the expertise of a human security engineer. It shines in uncovering intricate business logic flaws via context-sensitive scanning and delivers thorough reports with an impressive rate of near-zero false positives. Its standout features encompass automated patch generation, constant real-time surveillance, and extensive compatibility with leading programming languages and frameworks. The Asterisk methodology includes indexing the codebase to develop precise mappings of call stacks and code graphs, which is essential for accurate vulnerability detection. The platform has proven its effectiveness by autonomously identifying vulnerabilities in various systems. Established by a group of experienced security researchers and competitive Capture The Flag (CTF) participants, Asterisk is dedicated to harnessing the power of AI to simplify code security audits and improve the process of vulnerability identification. As the digital landscape evolves, Asterisk continues to adapt, ensuring that software security remains a top priority for developers everywhere.

Snyk is the leader in developer security. We empower the world’s developers to build secure applications and equip security teams to meet the demands of the digital world. Our developer-first approach ensures organizations can secure all of the critical components of their applications from code to cloud, leading to increased developer productivity, revenue growth, customer satisfaction, cost savings and an overall improved security posture. Snyk is a developer security platform that automatically integrates with a developer’s workflow and is purpose-built for security teams to collaborate with their development teams.

OpenAI Daybreak represents a groundbreaking advancement in AI tailored for cyber defenders, embodying OpenAI's aspiration to transform software development and protection. This initiative emphasizes the importance of early risk detection and proactive measures, advocating for a foundational approach where resilience is integrated into software design from the outset. Rather than merely identifying and fixing vulnerabilities, Daybreak is focused on designing systems that inherently resist threats. By leveraging AI, it empowers defenders to navigate complex codebases, uncover hidden vulnerabilities, confirm solutions, analyze new systems effectively, and accelerate the transition from threat identification to remediation. Recognizing the potential for misuse of these advanced capabilities, Daybreak ensures that enhanced defensive measures are coupled with principles of trust, verification, proportional safeguards, and accountability. The synergy of OpenAI's models, the adaptability of Codex as a functional tool, and collaboration with security partners across the cybersecurity landscape creates a comprehensive defense strategy. Ultimately, Daybreak aims to redefine the standards of cyber resilience in an increasingly complex digital world.

Codex Security is an AI-driven application security tool designed to identify vulnerabilities within software projects and provide reliable fixes. Built on OpenAI’s advanced models and the Codex agent framework, the system analyzes code repositories to develop a detailed understanding of a project’s architecture and security posture. It generates a customizable threat model that helps guide the vulnerability detection process. Using this context, Codex Security scans the codebase to identify potential security weaknesses and prioritize them based on their actual risk. The system performs automated validation to verify vulnerabilities and reduce the number of false positives typically produced by traditional security scanners. When issues are confirmed, it generates recommended patches that align with the surrounding code and intended system behavior. This approach helps developers address security problems without introducing unintended regressions. Codex Security also learns from user feedback to improve its detection accuracy over time. The platform is designed to operate at scale and analyze large volumes of commits across repositories. Overall, Codex Security helps development and security teams strengthen application security while reducing manual triage and review workloads.

General Analysis serves as a cutting-edge AI security platform designed to aid security teams in adversarially testing, monitoring, and safeguarding AI agents and systems that are actively deployed. Its primary objective is to enable organizations to grasp AI-related risks, avert potential incidents, and secure various real-world AI applications, which include employee copilots, coding agents, customer support tools, healthcare assistants, legal aids, financial copilots, and creative workflows. By mapping out AI applications and agents through an extensive range of parameters such as prompts, retrieval methods, tools, MCP servers, browser activities, permissions, repositories, cloud accounts, SaaS workflows, and business processes, it effectively identifies context-aware attacks that highlight vulnerabilities within the system. The platform's automated red teaming employs adaptable attacker models that respond to target behaviors and generate complex multi-step exploit chains, providing security teams with the ability to discover vulnerabilities that traditional static prompt sets or endpoint-only testing might overlook. Ultimately, General Analysis empowers organizations to enhance their AI security posture while ensuring that their deployments remain resilient against evolving threats.

F5 AI Guardrails is an enterprise AI security platform that provides runtime protection for deployed AI models, agents, and applications across diverse environments. The solution is designed to address emerging AI risks by monitoring interactions, enforcing policies, and preventing malicious attempts to manipulate AI behavior. Organizations can use the platform to defend against prompt injection attacks, jailbreak techniques, data leakage incidents, and other adversarial threats targeting AI systems. Distributed data protection capabilities inspect AI interactions in real time and help enforce data loss prevention policies across applications and models. The platform includes automated compliance features that support frameworks and regulations such as GDPR, HIPAA, and the European Union AI Act. Advanced observability and auditing tools provide detailed records of AI activity, enabling stronger governance and accountability. F5 AI Guardrails also supports dynamic model routing and low-latency security controls to maintain operational performance while enforcing protections. Model-agnostic functionality allows organizations to secure both proprietary and open-source AI models using a unified approach. By integrating security, compliance, observability, and runtime protection, F5 AI Guardrails helps organizations confidently scale their AI initiatives.

TrojAI is a comprehensive AI security solution built to address the unique risks associated with generative AI, large language models, and autonomous AI agents. The platform helps organizations identify, assess, and mitigate vulnerabilities before AI systems are deployed into production environments. Through its security testing capabilities, TrojAI uncovers weaknesses that could lead to prompt injection, data leakage, jailbreak attacks, tool misuse, or unauthorized behavior. Runtime protection features continuously monitor AI applications and agent activities to detect and block threats as they occur. The platform also helps organizations align with security frameworks such as OWASP, NIST, and MITRE, simplifying governance and compliance initiatives. TrojAI Detect focuses on securing AI models during development and testing phases, helping teams strengthen models before release. TrojAI Defend provides real-time protection for deployed AI systems, reducing the risk of operational disruptions and security incidents. Flexible deployment options allow organizations to integrate the platform into cloud, hybrid, or self-hosted environments while maintaining control over sensitive data. By combining proactive testing with continuous monitoring, TrojAI helps enterprises build and operate secure AI ecosystems.

Cisco AI Defense represents an all-encompassing security framework aimed at empowering businesses to securely create, implement, and leverage AI technologies. It effectively tackles significant security issues like shadow AI, which refers to the unauthorized utilization of third-party generative AI applications, alongside enhancing application security by ensuring comprehensive visibility into AI resources and instituting controls to avert data breaches and reduce potential threats. Among its principal features are AI Access, which allows for the management of third-party AI applications; AI Model and Application Validation, which performs automated assessments for vulnerabilities; AI Runtime Protection, which provides real-time safeguards against adversarial threats; and AI Cloud Visibility, which catalogs AI models and data sources across various distributed settings. By harnessing Cisco's capabilities in network-layer visibility and ongoing threat intelligence enhancements, AI Defense guarantees strong defense against the continuously changing risks associated with AI technology, thus fostering a safer environment for innovation and growth. Moreover, this solution not only protects existing assets but also promotes a proactive approach to identifying and mitigating future threats.

Mindgard, the leading cybersecurity platform for AI, specialises in securing AI/ML models, encompassing LLMs and GenAI for both in-house and third-party solutions. Rooted in the academic prowess of Lancaster University and launched in 2022, Mindgard has rapidly become a key player in the field by tackling the complex vulnerabilities associated with AI technologies. Our flagship service, Mindgard AI Security Labs, reflects our dedication to innovation, automating AI security testing and threat assessments to identify and remedy adversarial threats that traditional methods might miss due to their complexity. Our platform is supported by the largest, commercially available AI threat library, enabling organizations to proactively protect their AI assets across their entire lifecycle. Mindgard seamlessly integrates with existing security ecosystem platforms, enabling Security Operations Centers (SOCs) to rapidly onboard AI/ML solutions and manage AI-specific vulnerabilities and hence risk.

Enkrypt AI is a specialized platform designed for enterprise-level security, compliance, and governance in the realm of artificial intelligence, focusing particularly on safeguarding large language models, AI agents, multimodal systems, and machine-critical processes. Catering to industries such as finance, healthcare, insurance, and government, Enkrypt AI empowers organizations to innovate quickly while ensuring safety and maintaining a competitive edge. The platform addresses the entire spectrum of AI security through several key features: Guardrails: With ultra-low latency (under 50 milliseconds), policy-driven guardrails effectively mitigate risks associated with prompt injections, unauthorized data exposure, hazardous outputs, and non-compliant behavior of agents in real-time. Red Teaming: The system implements policy-driven multimodal attack simulations for LLMs and AI agents prior to their deployment in order to identify vulnerabilities. MCP Security: The MCP Scan Hub and Secure MCP Gateway offer comprehensive protection for MCP servers, tools, and agent toolchains throughout the entire process. Compliance: Ongoing monitoring ensures adherence to standards such as NIST AI RMF, OWASP LLM Top 10, the EU AI Act, HIPAA, and FINRA, with certifications including ISO 27001 and SOC 2 Type II. Recognized as a Gartner Cool Vendor for 2025, Enkrypt AI sets itself apart in the industry.

Mondoo serves as a comprehensive platform for security and compliance, aiming to significantly mitigate critical vulnerabilities within businesses by merging complete asset visibility, risk assessment, and proactive remediation. It catalogs a thorough inventory of all types of assets, including cloud services, on-premises systems, SaaS applications, endpoints, network devices, and developer pipelines, while consistently evaluating their configurations, vulnerabilities, and interrelations. By incorporating business relevance, such as the importance of an asset, potential exploitation risks, and deviations from established policies, it effectively scores and identifies the most pressing threats. Users are provided with options for guided remediation through pre-tested code snippets and playbooks, or they can opt for autonomous remediation facilitated by orchestration pipelines, which include features for tracking, ticket generation, and verification. Additionally, Mondoo allows for the integration of third-party findings, works seamlessly with DevSecOps toolchains including CI/CD, Infrastructure as Code (IaC), and container registries, and boasts over 300 compliance frameworks and benchmark templates to ensure a thorough approach to security. Its robust functionality not only enhances organizational resilience but also streamlines compliance processes, offering a holistic solution for modern security challenges.

Onyx serves as a robust AI control platform designed for the discovery, protection, governance, optimization, and evaluation of AI agents and models within an organization. It provides crucial visibility for security, governance, and AI teams into both authorized and unauthorized AI activities across various environments, including SaaS applications, cloud services, endpoints, and code, encompassing aspects such as prompts, responses, and agent behaviors. The AI Security feature enhances the organization's security posture by pinpointing vulnerabilities and implementing real-time safeguards against potential threats and misuse. Meanwhile, AI Governance ensures compliance with security standards and regulatory mandates by offering opt-in coverage and allowing policy controls to be articulated in natural language. Additionally, AI Orchestration streamlines the process of deploying agents and Multi-Cloud Platforms (MCPs), while optimizing for cost, accuracy, and latency. The AI ROI component facilitates the measurement of adoption, the establishment of objectives, and the tracking of results across various departments within the organization. Furthermore, the Onyx Guardian Agent functions as an overseeing AI, perpetually identifying risks and resolving issues throughout the platform, thereby enabling organizations to effectively manage a large number of agents seamlessly. Ultimately, Onyx empowers businesses to harness the full potential of AI while maintaining control and oversight.

Akto is an open source, instant API security platform that takes only 60 secs to get started. Akto is used by security teams to maintain a continuous inventory of APIs, test APIs for vulnerabilities and find runtime issues. Akto offers tests for all OWASP top 10 and HackerOne Top 10 categories including BOLA, authentication, SSRF, XSS, security configurations, etc. Akto's powerful testing engine runs variety of business logic tests by reading traffic data to understand API traffic pattern leading to reduced false positives. Akto can integrate with multiple traffic sources - Burpsuite, AWS, postman, GCP, gateways, etc.

Lasso is an enterprise AI security platform built to secure AI agents, generative AI applications, and emerging agentic systems across complex business environments. The solution delivers end-to-end visibility into AI deployments by discovering, cataloging, and continuously monitoring AI assets throughout their lifecycle. Organizations can use the platform to identify models, prompts, tools, guardrails, and configurations while maintaining an up-to-date inventory of AI resources. Automated AI red teaming capabilities help uncover vulnerabilities, weaknesses, and attack vectors before they can be exploited in production environments. Runtime enforcement mechanisms monitor interactions in real time, ensuring AI systems operate within approved policies and security boundaries. The platform’s intent-based analysis approach helps detect threats that traditional security tools may miss due to the non-deterministic nature of AI behavior. Lasso also supports AI detection and response workflows that help security teams investigate incidents and mitigate risks more effectively. Enterprise-ready performance, scalability, and governance features make the platform suitable for organizations adopting AI at scale. By providing continuous visibility, protection, and risk management, Lasso helps businesses innovate confidently while reducing exposure to AI-related threats.

Prompt Security allows businesses to leverage Generative AI while safeguarding against various risks that could affect their applications, workforce, and clientele. It meticulously evaluates every interaction involving Generative AI—ranging from AI applications utilized by staff to GenAI features integrated into customer-facing services—ensuring the protection of sensitive information, the prevention of harmful outputs, and defense against GenAI-related threats. Furthermore, Prompt Security equips enterprise leaders with comprehensive insights and governance capabilities regarding the AI tools in use throughout their organization, enhancing overall operational transparency and security. This proactive approach not only fosters innovation but also builds trust with customers by prioritizing their safety.

Symbiotic Security revolutionizes cybersecurity by integrating real time detection, remediation and training directly into developers Integrated Development Environments. This approach allows developers to identify and fix vulnerabilities as they develop, fostering a culture of security-conscious development and reducing expensive late-stage fixes. The platform provides contextual remediation suggestions as well as just-in time learning experiences to ensure developers receive targeted training exactly when they need it. Symbiotic Security embeds security measures into the software development process to prevent vulnerabilities and address existing ones. This holistic approach improves code quality, streamlines workflows and eliminates security backlogs while promoting seamless collaboration among development and security teams.

Visual Expert is a static code analyzer for Oracle PL/SQL, SQL Server T-SQL and PowerBuilder. It identifies code dependencies to let you modify the code without breaking your application. It also scans your code to detect security flaws, quality, performance and maintenability issues. Identify breaking changes with impact analysis. Scan the code to find security vulnerabilities, bugs and maintenance issues. Integrate continuous code inspection in a CI workflow. Understand the inner workings and document your code with call graphs, code diagrams, CRUD matrices, and object dependency matrices (ODMs). Automatically generate source code documentation in HTML format. Navigate your code with hyperlinks. Compare two pieces of code, databases or entire applications. Improve maintainability. Clean up code. Comply with development standards. Analyze and improve database code performance: Find slow objects and SQL queries, optimize a slow object, a call chain, a slow SQL query, display a query execution plan.

Depthfirst is an advanced application security platform specifically designed to aid organizations in identifying, prioritizing, and addressing software vulnerabilities by thoroughly understanding their code, infrastructure, and business logic as an integrated system. Central to depthfirst is its "General Security Intelligence," which conducts comprehensive analyses of entire repositories and environments to reveal how systems operate in reality, thus identifying intricate, real-world vulnerabilities that conventional scanners frequently overlook. By assessing complete attack paths, permissions, and data flows, it accurately determines the exploitability of issues, thereby significantly lowering false positive rates and enabling teams to concentrate on substantial risks. Additionally, depthfirst functions across various layers of the technology stack, which includes source code, dependencies, secrets, containers, and live applications, ensuring ongoing security throughout both development and production phases. This holistic approach not only enhances security effectiveness but also streamlines the remediation process for development teams.

Panto is an advanced AI-driven code review tool aimed at improving both the quality and security of code by seamlessly integrating into existing development workflows. Its unique AI operating system synchronizes code with relevant business contexts from platforms such as Jira and Confluence, facilitating efficient and context-sensitive code reviews. Supporting more than 30 programming languages, it performs upwards of 30,000 security checks to ensure a thorough examination of codebases. The "Wall of Defense" feature of Panto AI works continuously to identify vulnerabilities and recommend solutions, effectively stopping defective code from being deployed to production environments. Additionally, with its commitment to zero code retention, compliance with CERT-IN standards, and the ability to operate on-premises, Panto emphasizes both data security and regulatory adherence. Developers can take advantage of reviews that offer a high signal-to-noise ratio, thereby minimizing cognitive overload and enabling them to concentrate on essential logic and design considerations. This focus on clarity and efficiency allows teams to enhance their development processes significantly.

Protect AI conducts comprehensive security assessments throughout your machine learning lifecycle, ensuring that your AI applications and models are both secure and compliant. It is crucial for enterprises to comprehend the distinct vulnerabilities present in their AI and ML systems throughout the entire lifecycle and to take swift action to mitigate any potential risks. Our offerings deliver enhanced threat visibility, effective security testing, and robust remediation strategies. Jupyter Notebooks serve as an invaluable resource for data scientists, enabling them to explore datasets, develop models, assess experiments, and collaborate by sharing findings with colleagues. These notebooks encompass live code, visualizations, data, and explanatory text, but they also present various security vulnerabilities that existing cybersecurity solutions may not adequately address. NB Defense is a complimentary tool that swiftly scans individual notebooks or entire repositories to uncover common security flaws, pinpoint issues, and provide guidance on how to resolve them effectively. By utilizing such tools, organizations can significantly enhance their overall security posture while leveraging the powerful capabilities of Jupyter Notebooks.

Lakera Guard enables organizations to develop Generative AI applications while mitigating concerns related to prompt injections, data breaches, harmful content, and various risks associated with language models. Backed by cutting-edge AI threat intelligence, Lakera’s expansive database houses tens of millions of attack data points and is augmented by over 100,000 new entries daily. With Lakera Guard, the security of your applications is in a state of constant enhancement. The solution integrates top-tier security intelligence into the core of your language model applications, allowing for the scalable development and deployment of secure AI systems. By monitoring tens of millions of attacks, Lakera Guard effectively identifies and shields you from undesirable actions and potential data losses stemming from prompt injections. Additionally, it provides continuous assessment, tracking, and reporting capabilities, ensuring that your AI systems are managed responsibly and remain secure throughout your organization’s operations. This comprehensive approach not only enhances security but also instills confidence in deploying advanced AI technologies.

Reshift is the ultimate solution designed specifically for Node.js developers to enhance the security of their custom code. By utilizing this tool, developers are four times more likely to resolve issues before their code is committed. It seamlessly integrates security into the development process by detecting and addressing security vulnerabilities at compile time. This innovative security tool collaborates with developers without hindering their workflow. Reshift's integration with developers’ IDE allows for real-time identification of security concerns, enabling fixes prior to code merging. For those who are new to the world of security, Reshift simplifies the incorporation of security measures into the development pipeline. Tailored for expanding software companies aiming to advance their security, this tool is particularly suited for small to medium-sized businesses that may not have extensive security knowledge. With Reshift, you can enhance code security while simultaneously gaining insights into secure coding practices. Furthermore, Reshift offers comprehensive resources and best practices, empowering developers to learn about security as they write their code. This dual focus on education and practical application makes Reshift an invaluable asset for any development team.

Claude Security is an advanced AI-driven cybersecurity platform designed to help organizations detect and fix vulnerabilities in their codebases. It scans software repositories to identify security risks and uses validation processes to ensure accurate results. The platform provides detailed insights into each vulnerability, including severity, impact, and recommended fixes. It generates patch suggestions that developers can review and approve before applying changes. Claude Security integrates seamlessly into existing development workflows, allowing teams to start scanning without complex setup. It supports both full repository scans and targeted scans for specific sections of code. The system helps reduce false positives by validating findings before presenting them to users. It enables faster resolution by combining detection and remediation in a single workflow. Claude Security is available for enterprise users and supports ongoing security monitoring. It is designed to improve efficiency by reducing manual security analysis. By combining automation and AI, Claude Security helps organizations strengthen their software security posture.

Google AI Threat Defense is a comprehensive AI-driven security platform that empowers organizations to outpace increasingly sophisticated cyber threats through intelligent risk detection, prioritization, remediation, and continuous monitoring. The solution combines advanced AI technologies, including Gemini and other frontier models, with Wiz’s contextual risk prioritization, CodeMender’s remediation capabilities, and Mandiant’s threat intelligence expertise to create an autonomous security framework capable of operating at machine speed. Through its Prepare phase, organizations gain deep visibility into multicloud, SaaS, AI, and hybrid environments by identifying attack paths, shadow assets, exposed services, and ownership gaps. The Scan phase uses AI-powered analysis and adversarial testing to validate vulnerabilities, analyze codebases, enrich findings with runtime context, and generate actionable response plans. During Remediation, the platform accelerates issue resolution by generating environment-specific code fixes directly within developer workflows while supporting large-scale vulnerability management and automated triage. The Monitor phase provides machine-speed detection and response capabilities, leveraging AI-driven monitoring, threat detection, and security operations automation to identify and respond to emerging threats across infrastructure, applications, identities, and networks. By integrating visibility, intelligence, automation, and remediation into a unified platform, Google AI Threat Defense helps organizations strengthen cybersecurity posture, reduce risk exposure, and respond more effectively to evolving attack techniques.

DryRun Security is an AI Native SAST and Agentic Code Security engine built to improve application security without burying teams in alerts. Traditional SAST flags patterns. DryRun Security adds context. Our proprietary Contextual Security Analysis engine reasons about code intent, exploitability, and impact, so AppSec focuses on what matters. In pull requests, the Code Review Agent posts PR comments and checks within moments of a push, with guidance developers can act on immediately. It uses specialized analyzers for common vulnerability classes like XSS, SQL injection, SSRF, IDOR, mass assignment, and secrets. For guardrails that match your environment, teams write Natural Language Code Policies in plain English and the Custom Policy Agent enforces them on every PR. When you need a deeper read, DeepScan Agent produces a prioritized full-repo report in about an hour, surfacing complex logic, authentication and authorization flaws, secrets exposure, and business-risk vulnerabilities. Code Insights Agent helps teams see trends across repos and produce audit-ready reporting faster. DryRun Security is designed for GitHub and GitLab permissioned workflows. It protects security with private LLM capabilities, avoids sending code to public AI systems, processes with ephemeral services, and retains only findings and minimal metadata for reporting.

Leverage AI to effectively address and rectify vulnerabilities in your cloud infrastructure on an ongoing basis. Bridge the gap between DevOps and security seamlessly. Manage your cloud ecosystem through a unified platform that consistently upholds compliance and security standards. Security teams are empowered to establish security policies while Gomboc generates the Infrastructure as Code (IaC) for DevOps to review and approve. Gomboc meticulously examines all manual IaC within the CI/CD pipeline to prevent any potential configuration drift. You can rest assured that you will never again fall out of compliance. Gomboc offers the flexibility to operate without confining your cloud-native architectures to a specific platform or cloud service provider. Our solution is designed to integrate with all leading cloud providers and major infrastructure-as-code tools effortlessly. You can set your security policies with the confidence that they will be upheld throughout the entire lifecycle of your cloud environment. Additionally, this approach allows for enhanced visibility and control over security measures, ensuring that your organization remains proactive in facing emerging threats.

MAI-Cyber-1-Flash represents Microsoft AI's streamlined, code-intensive security framework designed to detect vulnerabilities within intricate code structures. Originating from the MAI-Thinking-1 family and constructed from the ground up utilizing superior data, it is seamlessly embedded within MDASH, Microsoft's comprehensive system for identifying and addressing vulnerabilities through multiple agents. MDASH leverages over 100 expertly fine-tuned agents along with several advanced models to efficiently locate, confirm, and resolve software vulnerabilities, while MAI-Cyber-1-Flash capably manages up to 90% of related tasks. For particularly complex scenarios, larger models like GPT-5.4 can be engaged, ensuring an expertly calibrated multi-model approach that optimally assigns the appropriate model for each specific task. This collaboration between MDASH and MAI-Cyber-1-Flash has resulted in an impressive performance of 96% on CyberGym, surpassing competitors like Mythos, Gemini, and GPT-based solutions in their ability to analyze extensive codebases for vulnerability detection. Such advancements signify a major leap in ensuring the security and integrity of software systems in an increasingly complex digital landscape.

AIM Intelligence is a comprehensive AI security platform designed to maintain control over AI systems as they make decisions, invoke APIs, and perform actions within actual business environments. It proactively defends against potential threats to AI before malicious actors can exploit vulnerabilities, implementing real-time guardrails to ensure that every agent adheres to corporate policies. The platform offers an array of integrated solutions, including automated AI red teaming, immediate guardrail enforcement, and consulting on security frameworks, which assist organizations in navigating intricate AI risks throughout both development and production phases. Stinger enhances the process of AI vulnerability detection by simulating countless attack scenarios, facilitating extensive agentic red teaming beyond mere prompt-level threats, and conducting tests across a variety of modalities such as text, image, audio, video, and physical AI, while also allowing for tailored vulnerability assessments based on business logic. Meanwhile, Starfort provides real-time enforcement of AI guardrails by identifying and safeguarding sensitive information, including personally identifiable information (PII) and trade secrets, while also regulating unusual API requests made by autonomous agents. By combining these elements, AIM Intelligence equips organizations with the tools necessary to maintain a secure and compliant AI environment.

Darktrace / SECURE AI offers a comprehensive AI security solution that consolidates all AI interactions within an organization into a unified perspective, enabling teams to grasp intentions, evaluate risks, safeguard sensitive information, and ensure compliance with policies. It provides real-time monitoring of prompts, sessions, and responses across various enterprise GenAI tools like Microsoft Copilot and ChatGPT Enterprise, as well as low-code environments such as Microsoft Copilot Studio, high-code platforms like Amazon Bedrock and SageMaker, SaaS applications, and secure access service edge (SASE). Utilizing behavioral analytics, it effectively differentiates between routine business activities and notable or hazardous anomalies, thereby identifying conversational prompt attacks, harmful chaining, and other unsafe actions without solely depending on historical attack patterns. Darktrace's unique ability to learn directly from the environment it secures enables it to recognize new and AI-related threats upon their initial occurrence. This adaptive learning capability enhances its effectiveness in proactively addressing emerging security challenges within an increasingly complex technological landscape.

Enterprise copilots and low-code/no-code platforms have revolutionized the process of developing robust business AI applications and bots, making it quicker and more accessible than ever. With the advent of generative AI, individuals from various technical backgrounds can now foster innovation, streamline repetitive tasks, and design efficient workflows with ease. Much like the public cloud, while these AI and low-code solutions safeguard the foundational infrastructure, they do not protect the resources or data that are built on top of it. As a multitude of applications, automations, and copilots are being developed, the risks associated with prompt injection, RAG poisoning, and data leaks significantly escalate. In contrast to traditional software development, the use of copilots and low-code platforms often overlooks the crucial phases of testing, security analysis, and performance evaluation. By empowering both professional and citizen developers, organizations can enable the creation of tailored solutions that adhere to security and compliance requirements. We invite you to discuss how your team can effectively harness the power of copilots and low-code development to drive your business forward. This collaboration could lead to innovative solutions that not only meet your needs but also enhance overall operational efficiency.

Snapper serves as a comprehensive security platform for AI agents, aimed at ensuring thorough governance and protection for organizations that utilize AI across various applications, networks, and systems. It implements runtime enforcement by scrutinizing every action an agent takes, such as tool interactions, API calls, and data access requests, prior to execution, utilizing a multi-layered policy-driven rule engine. Additionally, Snapper provides a holistic view of AI activity by analyzing network traffic, browser usage, DNS queries, and running processes to uncover unauthorized tools and hidden AI applications. It also proactively intercepts outgoing large language model requests via SDK wrappers and a network proxy, allowing it to assess, redact, and document sensitive information in real time. Enhancing its security features, Snapper possesses sophisticated threat detection mechanisms that can recognize prompt injection tactics, exploit chains, unusual behaviors, and complex attack patterns, leveraging behavioral baselines, kill chain analysis, and a composite trust scoring system for robust protection. Ultimately, Snapper represents a critical asset for organizations seeking to navigate the risks associated with AI deployment while maintaining operational integrity.

VibeSecurity is an advanced platform that employs artificial intelligence to conduct vulnerability scans, aimed at safeguarding code generated by AI by persistently evaluating, identifying, and addressing security weaknesses throughout the entire development process. This solution specifically targets contemporary “vibe coding” practices, where developers utilize AI tools to swiftly create code, often inadvertently incorporating concealed vulnerabilities such as insecure authentication methods, exposed tokens, or risks of injection attacks. It leverages intelligent agents to execute real-time analyses of the code, pinpointing security concerns prior to their deployment and offering automated recommendations for fixes along with guidance for implementation. By seamlessly integrating with developer environments via IDE plugins, GitHub applications, and CI/CD pipelines, it facilitates ongoing surveillance of repositories, pull requests, and deployments while ensuring that workflows remain uninterrupted. Additionally, VibeSecurity empowers developers by providing them with the tools they need to enhance the security of their code as they work, ensuring a proactive approach to vulnerability management.

Your company's AI algorithms serve as a distinctive competitive edge, but they also represent a significant investment. If a successful adversarial attack were to occur, it could undermine that advantage without your awareness. HiddenLayer emerges as the pioneering solution tailored for this new security dimension—your AI. It provides a seamless software solution that ensures ongoing, real-time monitoring of your model's integrity and vulnerabilities, all without requiring access to its inner workings or the data used for training. Unlike most adversarial AI security firms, which rely on costly panels of experts to dissect and reinforce algorithms from within, HiddenLayer offers a more efficient approach. Established by professionals in machine learning and security, the company understands the subtlety and complexity of adversarial ML threats, making it easier for organizations to safeguard their AI assets. With HiddenLayer, businesses can focus on innovation while maintaining confidence in their AI's security.

Backslash Security is the governance and visibility platform built for organizations where AI coding tools are already part of how software gets built. GitHub Copilot, Cursor, Windsurf, Claude Code, and Gemini CLI have fundamentally changed the development lifecycle — and the security controls most organizations rely on were not designed for this environment. Backslash provides a comprehensive AI coding tool inventory and policy enforcement across the full AI coding spectrum, giving security teams visibility into every active tool and the risk introduced before it reaches production. This includes vibe coding security — risk detection purpose-built for vulnerability patterns in AI-generated code that traditional scanners are not equipped to catch. As AI coding agents grow more capable, they increasingly operate with access to external services, internal data, and organizational infrastructure through MCP servers. Over-permissioned agents and misconfigured MCP connections create data leakage pathways — exposing sensitive organizational data to AI models without security team awareness or enforcement controls. These are active exposure points, not theoretical risks. Backslash addresses this directly. The platform maps every MCP server connection, identifies over-permissioned AI agent configurations, and enforces least-privilege access before data leakage occurs. Security teams gain full visibility into what AI agents can access and where permissions exceed what the task requires. For security leaders governing an environment that moved faster than their controls, Backslash is the missing layer — built from the ground up for AI-native development, not retrofitted from a previous generation of tooling.

Agentic StarShip is an all-encompassing platform powered by AI, created by OpenCSG to boost the efficiency of software development and enhance the quality of code. This platform comprises a variety of tools aimed at automating and refining multiple facets of the development lifecycle. Among its standout features is CodeSouler, a smart coding assistant that works effortlessly with widely-used IDEs, including Visual Studio Code and JetBrains. Agentic StarShip includes capabilities such as automatic code commenting, optimization, refactoring, and the generation of test cases. Additionally, it supports real-time explanations and question-and-answer sessions about the code, allowing developers to rapidly gain insights and make improvements to their codebases. The plugin enhances user experience with right-click context menus and interactive conversation boxes, while also providing operation commands that facilitate effective code manipulation. Another crucial aspect is SecScan, a tool powered by AI that conducts thorough analyses of source code to uncover and assess potential security vulnerabilities. This comprehensive suite not only aids in development but also promotes a culture of secure coding practices among developers.

Diamond is a sophisticated AI tool designed for code review that delivers prompt, actionable insights on each pull request, thereby improving code quality and speeding up development timelines. It automatically detects various potential problems, including logical errors, security flaws, performance issues, and inconsistencies in documentation, which enables teams to concentrate on development rather than manual code checks. Eliminating the need for complex setups, Diamond integrates effortlessly with your repository, providing valuable, context-aware suggestions without the clutter often found in other AI solutions. Users have the flexibility to tailor review criteria by uploading their preferred style guides and filtering out irrelevant comments, ensuring a streamlined and effective review process. Additionally, Diamond offers analytical insights on review metrics, categorizing issues and proposing fixes that can be implemented with a single click, making the entire review experience more efficient. By utilizing Diamond, teams can enhance their collaborative efforts and maintain a high standard of code integrity throughout their projects.

Amplify Console is a security orchestration platform built as an agentic security harness for security engineering teams. The platform helps teams move from idea to production by creating, testing, deploying, tracking, and reporting on custom agentic security detections. Unlike general-purpose coding agents, Amplify Console is designed around security-native workflows, deep codebase context, and cloud-to-production execution. Its custom detection agents can be tailored to a company’s specific risks, priorities, and environment. Security-native context gives teams visibility across codebases and maps relationships that generic agents may miss. The platform also supports custom triage, reachability analysis, automated remediation, live integrations, and narrative-based reporting. The Reachability Engine helps teams focus on vulnerabilities that are actually reachable or exploitable. Automated remediation supports one-click fixes that can be customized, reviewed, and coordinated with developers. By combining custom detection agents, security workflow context, pipeline execution, triage automation, reachability analysis, remediation, integrations, and reporting, Amplify Console helps security teams move faster and reduce low-value vulnerability work.

Terra provides a service for continuous web application penetration testing powered by agentic-AI, integrating artificial intelligence with the oversight of human experts to offer comprehensive security evaluations with a focus on business context. This solution ensures that the entire web application attack surface of an organization is continuously assessed, adapting to changes rather than being limited to periodic testing. With its ability to evaluate newly launched or updated features for vulnerabilities in real time, Terra eliminates the need to wait for quarterly or annual assessments. The generated reports are structured to meet compliance audit requirements, showcasing evidence of exploitability, likelihood, potential breach comparisons, and business impacts, along with actionable remediation recommendations. By concentrating on genuine risks specific to the client's business environment and risk profile, the service enhances visibility across all applications and features. This results in a significant improvement in efficiency and accuracy compared to traditional automated penetration tests, ultimately benefiting users with a more robust security posture. Additionally, organizations can confidently navigate the evolving threat landscape with the proactive nature of Terra’s continuous assessment approach.

Transilience AI represents an innovative solution aimed at refining cybersecurity operations through the automation of tasks such as vulnerability management, compliance checks, and threat identification. Its advanced AI capabilities facilitate the simplification of intricate security procedures, allowing security personnel to dedicate their attention to significant threats and overall strategic goals. Among its features are swift patch prioritization, real-time aggregation of threat intelligence, and enhancements to security performance metrics, while also adhering to regulatory requirements. This platform caters to a diverse array of security professionals, including AppSec engineers, compliance officers, and vulnerability managers, by providing them with accurate insights and actionable guidance. By streamlining workflows and reducing manual intervention, Transilience AI significantly boosts the productivity and effectiveness of security teams, ultimately contributing to a more robust cybersecurity posture. The use of such technology not only improves operational efficiency but also fosters a proactive approach to managing cybersecurity challenges.

Pillar Security serves as a comprehensive AI security platform designed to safeguard the agentic workforce throughout the entire AI lifecycle, encompassing stages from development to deployment and ongoing runtime protection. By integrating business context during phases of discovery, testing, and protection, it ensures that security intelligence accumulates across various AI applications, including agents, models, prompts, frameworks, tools, MCP servers, skills, coding agents, and both SaaS and cloud environments. The platform enables organizations to identify and manage AI assets effectively, even those that are unapproved or fall under shadow AI, while also evaluating risks related to supply chain and overall security posture. Additionally, it maps out the attack surfaces associated with agentic systems and verifies critical vulnerabilities that need addressing. With its AI Security Posture Management features, Pillar scrutinizes interconnected agents, tools, permissions, data sources, prompts, models, and supply chain elements to reveal high-risk pathways, policy breaches, misconfigurations, and potential threats posed by coding agents, all of which enhance the understanding of the impact when a single component encounters a breach. Ultimately, Pillar Security empowers organizations to maintain a robust security framework while navigating the complexities of AI technology.

Strobes is an AI-powered exposure management platform that helps organizations identify, validate, prioritize, and fix security risks across their digital environment. The platform brings together exposure assessment, attack surface management, application security posture management, risk-based vulnerability management, adversarial validation, AI pentesting, and expert-led penetration testing. Instead of relying only on CVSS scores or isolated scanner findings, Strobes uses AI agents to evaluate vulnerabilities based on exploitability, asset criticality, exposure paths, compensating controls, and business risk. The platform ingests findings from more than 100 tools, removes noise, correlates duplicate issues, and sends the most important actions to the right teams through existing workflows. Security teams can connect Strobes with tools such as Snyk, Burp Suite, Checkmarx, GitHub, AWS, SonarQube, Jira, Slack, PagerDuty, and Splunk. Its human-in-the-loop approach lets teams define priorities while AI agents handle repetitive triage, validation, routing, and verification tasks. Strobes also supports continuous threat exposure management by helping teams scope assets, discover exposures, prioritize risks, validate attack paths, and mobilize remediation. The platform gives executives and security leaders clearer reporting on risk trends, remediation velocity, asset criticality, and audit readiness. Strobes helps security teams reduce false positives, improve mean time to remediate, save analyst time, and focus on verified exposures that create real business risk.

Consolidate all Application Security findings, including SAST, DAST, and SCA, while linking them to vulnerabilities in infrastructure and cloud security to achieve a comprehensive perspective on your application's security posture. By normalizing, de-duplicating, and correlating these findings, you can enhance the efficiency of risk mitigation and prioritize issues that have significant business implications. This approach creates a unified source of truth for findings and remediation efforts across various tools, teams, and applications. AppSecOps encompasses the systematic process of detecting, prioritizing, addressing, and preventing security breaches, vulnerabilities, and risks, fully aligned with existing DevSecOps workflows, teams, and tools. Additionally, an AppSecOps platform empowers security teams to expand their capabilities in effectively identifying, addressing, and preventing critical application-level security vulnerabilities and compliance challenges, while also discovering and rectifying any coverage gaps in their strategies. This holistic approach not only strengthens security measures but also fosters a collaborative environment among development and security teams, ultimately leading to improved software quality and resilience.

Root is a cutting-edge supply platform designed to provide autonomous remediation of vulnerabilities within container images and application dependencies, allowing organizations to mitigate security threats seamlessly without interrupting their ongoing workflows. In contrast to conventional security solutions that merely identify or rank vulnerabilities, Root takes a proactive approach by automatically resolving issues in their original locations, ensuring that CVEs are consistently patched across the versions being utilized by teams. This platform seamlessly integrates into existing development pipelines and infrastructure, enabling businesses to safeguard their software stack without the need to rebuild containers, enforce upgrades, or shift registries. With its automated remediation capabilities, Root effectively identifies the images and libraries currently in use, implements precise fixes, and produces secured artifacts that are ready for deployment, all while ensuring compatibility throughout the process. Additionally, the Root Image Catalog offers continuously remediated container images, and the Root Library Catalog efficiently patches open-source dependencies, making it a comprehensive solution for modern security challenges. This innovative approach not only enhances security but also promotes operational efficiency, allowing teams to focus on development rather than security concerns.

Flint AI serves as a local-first and framework-agnostic AgentOps command-line interface designed to assist developers in assessing the reliability of AI agents prior to their deployment in production environments. By executing the command flintai scan, users can evaluate Python source code for various issues such as security flaws, misconfigurations, and inadequate safety measures, while also employing AI reasoning to filter out potential false positives. Additionally, the command flintai eval tests a running agent by sending both functional and adversarial prompts, grading its responses against over 35 established criteria, which encompass aspects like factual accuracy, adherence to instructions, and resilience against prompt injections and jailbreak attempts. Each evaluated agent is assigned a reliability score, with the results linked to the OWASP Agentic Security Initiative risk categories ASI01 through ASI10 and severity assessed via CVSS v4.0 metrics. Flint AI is compatible with several agent frameworks and SDKs, including Claude Agents SDK, LangChain, CrewAI, Anthropic SDK, OpenAI SDK, MCP servers, and AutoGen, ensuring a broad range of applications in the development ecosystem. Furthermore, this versatile tool not only enhances the security and quality of AI agents but also streamlines the evaluation process, ultimately fostering greater confidence in AI deployment.