Alternatives to AIM Intelligence

Josys is a modern, AI-native identity security and governance platform built for the era of rapid enterprise AI adoption. As identity becomes the primary attack surface, Josys provides the tools to discover, govern, and secure every human, machine, and AI agent identity across your entire application ecosystem. The platform enables security and IT teams to proactively surface risks, manage granular access, and remediate identity-based threats in real-time. Trusted by more than 1,000 global organizations and MSPs, Josys transforms identity management from a complex security vulnerability into a streamlined, autonomously governed strategic advantage. Learn more at josys.com.

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.

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.

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.

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.

WitnessAI builds the guardrails to make AI productive, safe, and usable. Our platform allows enterprises the freedom to innovate, while enjoying the power of generative artificial intelligence, without compromising on privacy or security. With full visibility of applications and usage, you can monitor and audit AI activity. Enforce a consistent and acceptable use policy for data, topics, usage, etc. Protect your chatbots, employee activity, and data from misuse and attack. WitnessAI is building an international team of experts, engineers and problem solvers. Our goal is to build an industry-leading AI platform that maximizes AI's benefits while minimizing its risks. WitnessAI is a collection of security microservices which can be deployed in your environment on-premise, in a sandbox in the cloud, or within your VPC to ensure that data and activity telemetry remain separate from other customers. WitnessAI, unlike other AI governance solutions provides regulatory separation of your information.

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.

XecGuard, developed by CyCraft, serves as a firewall for trustworthy and agentic AI, specifically engineered to safeguard enterprise AI systems against various threats such as prompt injection, data leakage, and unsafe outputs. Leveraging CyCraft's extensive experience in red and blue teaming within sectors like government, finance, and high-tech manufacturing, XecGuard enhances security measures by integrating AI guardrails with cybersecurity protocols, compliance safeguards, and risk management tactics, ultimately facilitating the safe adoption of enterprise AI. This innovative solution functions as a plug-and-play LoRA security module, allowing organizations to bolster their LLM defenses seamlessly without necessitating modifications to the underlying model architecture, thus ensuring rapid implementation while maintaining optimal performance. By utilizing proprietary security datasets and advanced multi-stage fine-tuning methods, XecGuard significantly improves the resilience of LLMs against adversarial attacks, malicious interventions, and unauthorized extraction of sensitive information, making it an essential component for any enterprise aiming to fortify its AI systems effectively. Furthermore, its ability to adapt quickly to emerging threats underscores its value in today’s fast-evolving technological landscape.

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.

Silmaril is an innovative defense mechanism against prompt injection that autonomously heals itself, aiming to safeguard AI systems from sophisticated, multi-layered threats that conventional barriers cannot mitigate. Unlike traditional methods that merely filter inputs, it envelops inference calls, assessing whether the sequence of actions is steering towards a detrimental result. By employing a multihead classifier, it evaluates user intentions, application contexts, and execution states simultaneously, which allows it to identify indirect injections, multi-turn attack sequences, context manipulation, and tool exploitation before any harm can occur. To enhance its protective capabilities, Silmaril incorporates autonomous threat-hunting agents that explore systems, identify weaknesses, and produce synthetic training data based on actual attack incidents. These findings facilitate automatic model retraining, allowing for the deployment of updated defenses in less than an hour, while simultaneously disseminating anonymized protective measures across all instances. Moreover, this proactive approach ensures that the system remains resilient against emerging threats, adapting continuously to the evolving landscape of cybersecurity challenges.

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.

White Circle serves as a comprehensive AI control platform that seamlessly integrates visibility, safety, and performance enhancement for AI systems by merging testing, safeguarding, monitoring, and refinement into one cohesive layer. Functioning as a centralized management system, it operates between AI models and their users, scrutinizing each input and output in real-time to guarantee adherence to established safety, security, and quality guidelines. Additionally, it boasts automated stress-testing features that replicate challenging prompts and potential real-world attack scenarios, enabling teams to identify vulnerabilities such as hallucinations, prompt injections, data breaches, and policy infringements prior to deployment. Furthermore, the platform encompasses a protective layer that applies custom regulations through low-latency guardrails, instantly blocking, rewriting, or flagging unsafe outputs while also curbing the misuse of tools, unauthorized actions, or the risk of exposing sensitive data. With its robust capabilities, White Circle not only enhances the reliability of AI systems but also fosters trust among users, ensuring a more secure operational environment.

Straiker is an innovative security platform designed exclusively for safeguarding enterprise AI applications and autonomous agents, particularly addressing the emerging hazards posed by “agentic AI” systems that engage with various tools, APIs, and sensitive data. By offering comprehensive visibility and control throughout the entire AI stack, it analyzes behavioral signals from models, prompts, tools, identities, and infrastructure, which facilitates the immediate detection and prevention of AI-specific threats, including prompt injection, privilege escalation, data exfiltration, and the misuse of tools. The platform integrates continuous discovery, adversarial testing, and runtime protection through essential components such as Discover AI, Ascend AI, and Defend AI, working in harmony to identify all active agents, simulate potential attacks to reveal weaknesses, and implement real-time protective measures during operation. Its intricate, multi-layered architecture captures profound contextual signals from user interactions, network activities, and agent workflows, ensuring a robust defense against evolving threats. As AI technologies continue to advance, the necessity for such tailored security solutions will become increasingly critical for enterprises navigating this complex landscape.

ZenGuard AI serves as a dedicated security platform aimed at safeguarding AI-powered customer service agents from various potential threats, thereby ensuring their safe and efficient operation. With contributions from specialists associated with top technology firms like Google, Meta, and Amazon, ZenGuard offers rapid security measures that address the risks linked to AI agents based on large language models. It effectively protects these AI systems against prompt injection attacks by identifying and neutralizing any attempts at manipulation, which is crucial for maintaining the integrity of LLM operations. The platform also focuses on detecting and managing sensitive data to avert data breaches while ensuring adherence to privacy laws. Furthermore, it enforces content regulations by preventing AI agents from engaging in discussions on restricted topics, which helps uphold brand reputation and user security. Additionally, ZenGuard features an intuitive interface for configuring policies, allowing for immediate adjustments to security measures as needed. This adaptability is essential in a constantly evolving digital landscape where threats to AI systems can emerge unexpectedly.

iDox.ai Guardrail serves as an immediate security measure for AI applications, designed to safeguard sensitive information from being exposed during generative AI tasks. This innovative solution functions at the endpoint, intercepting user prompts, uploaded files, and any AI interactions prior to data transmission from the device. Guardrail employs policy-driven mechanisms to identify and prevent the leakage of sensitive information, including personally identifiable information (PII), protected health information (PHI), payment card information (PCI), intellectual property, and other confidential business data. In contrast to conventional data loss prevention (DLP) systems, Guardrail is tailored specifically for AI applications. It continuously observes user engagement with AI platforms like ChatGPT, Microsoft Copilot, and Claude, applying protective measures in real-time to ensure security. Among its key features are: - Continuous monitoring of prompts and file submissions - Detection of sensitive data with AI awareness - Real-time anonymization and sanitization processes - Defense against risks associated with AI agents, such as unauthorized file access incidents (e.g., OpenClaw) - Implementation of website whitelisting and strict policy enforcement. Additionally, Guardrail enhances user confidence in utilizing AI technologies while ensuring compliance with data privacy regulations.

elsai is a software organization located in India that was started in 2007 and provides software named elsai Foundry. elsai Foundry is a type of AI governance software. elsai Foundry is offered as SaaS, Windows, Mac, Linux, and Chromebook software. elsai Foundry has a free trial. elsai Foundry provides phone support support, 24/7 live support, and online support. elsai Foundry includes training through documentation, live online, webinars, and videos.

Superagent is an open-source platform focused on AI safety and agent development, designed to assist developers and organizations in creating, deploying, and safeguarding AI-driven applications and assistants by incorporating essential safety measures, runtime security, and compliance controls into their agent workflows. It features purpose-trained models and APIs—such as Guard, Verify, and Redact—that effectively prevent prompt injections, malicious tool usage, data leaks, and unsafe outputs in real-time, while red-teaming tests evaluate production systems for vulnerabilities and provide actionable remediation strategies. Superagent seamlessly integrates with current AI systems at both inference and tool-call levels, enabling it to filter inputs and outputs, eliminate sensitive information like personally identifiable information (PII) and protected health information (PHI), enforce policy constraints, and prevent unauthorized actions before they can take place. Furthermore, it enhances security and engineering operations by offering comprehensive observability, live trace logs, policy controls, and detailed audit trails, ensuring that teams can maintain robust oversight of their AI systems at all times. Ultimately, Superagent empowers organizations to navigate the complexities of AI safety while facilitating the responsible use of innovative technologies.

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.

AgentShield is an innovative identity platform designed to authenticate both human users and AI agents representing them. It allows organizations to verify an agent's identity, confirm the authorization from the individual behind the agent, and assess the agent's reliability, all through user-friendly APIs and JavaScript integrations. This platform also features capabilities for identifying agent interactions on websites and implements identity and permission validations for both agent-to-agent and agent-to-service communications, adhering to the open Model Context Protocol Identity (MCP-I) standards. Additionally, with the KYA feature, companies can effectively oversee agent identities and their permissions, establish audit trails, automate workflows, and apply precise access controls for autonomous systems. This comprehensive approach not only safeguards against the misuse of digital identities but also promotes clarity when AI systems operate on behalf of users, ultimately enhancing trust in digital interactions. As technology evolves, maintaining such robust security measures becomes increasingly crucial for organizations navigating the complexities of digital identity management.

Agent Builder is a component of OpenAI’s suite designed for creating agentic applications, which are systems that leverage large language models to autonomously carry out multi-step tasks while incorporating governance, tool integration, memory, orchestration, and observability features. This platform provides a flexible collection of components—such as models, tools, memory/state, guardrails, and workflow orchestration—which developers can piece together to create agents that determine the appropriate moments to utilize a tool, take action, or pause and transfer control. Additionally, OpenAI has introduced a new Responses API that merges chat functions with integrated tool usage, alongside an Agents SDK available in Python and JS/TS that simplifies the control loop, enforces guardrails (validations on inputs and outputs), manages agent handoffs, oversees session management, and tracks agent activities. Furthermore, agents can be enhanced with various built-in tools, including web search, file search, or computer functionalities, as well as custom function-calling tools, allowing for a diverse range of operational capabilities. Overall, this comprehensive ecosystem empowers developers to craft sophisticated applications that can adapt and respond to user needs with remarkable efficiency.

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.

Sapiom serves as a financial and access infrastructure platform that allows AI agents and API-driven applications to securely access, provision, and pay for various third-party services, APIs, tools, and compute resources in real-time, eliminating the need for manual onboarding, individual management of API keys, and the necessity of pre-purchased credits. It features a centralized dashboard that enables organizations to keep track of overall spending, agent activities, service utilization, and real-time analytics, while also allowing the establishment of rule-based spending and usage limits, alongside the enforcement of governance policies to ensure that autonomous agents operate securely within set financial boundaries. Additionally, Sapiom offers SDKs and APIs that empower developers to link agents to a selective network of services, including verification processes, web searching, AI models through OpenRouter, and automation of image/audio generation and browser tasks, facilitating automated authentication and micro-payments for each use. This system meticulously tracks every API invocation, associated costs, and execution traces, ensuring comprehensive visibility and control over operations, which ultimately enhances the operational efficiency of organizations leveraging its capabilities.

The Teradata Enterprise AgentStack is a comprehensive platform designed for the development, deployment, and management of enterprise-level autonomous AI agents that seamlessly connect to reliable data and analytics, aiding businesses in transitioning from experimentation phases to fully operational agentic AI with robust enterprise control. This platform consolidates diverse functionalities to facilitate the entire agent lifecycle; AgentBuilder streamlines the process of creating intelligent agents through both no-code and pro-code tools that are compatible with Teradata Vantage and various open-source frameworks. Furthermore, the Enterprise MCP provides secure, context-rich access to well-governed enterprise data along with tailored prompts that enhance agent intelligence. Meanwhile, AgentEngine ensures scalable agent execution while maintaining consistent memory and reliability across various hybrid environments. Additionally, AgentOps plays a crucial role in centralizing the monitoring, governance, compliance, auditability, and policy enforcement, ensuring that the agents operate within established parameters, which ultimately leads to increased efficiency and adherence to organizational standards. Collectively, these features empower organizations to harness the full potential of autonomous AI in a controlled and efficient manner.

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.

AI Security Guard is a United States company that was founded in 2026, and produces a software product named AI Security Guard. AI Security Guard includes training through documentation, live online, webinars, in person sessions, and videos. AI Security Guard is a type of AI agent security software. AI Security Guard includes 24/7 live support and online support. Regarding deployment requirements, AI Security Guard is offered as SaaS, Windows, Mac, Linux, iPhone, iPad, Android, and Chromebook software.

The Oracle AI Agent Platform is a comprehensive service designed for the development, implementation, and oversight of sophisticated virtual agents that utilize large language models along with integrated AI technologies. Setting up these agents involves a straightforward multi-step process, allowing them to utilize various tools such as converting natural language into SQL queries, enhancing responses with information from enterprise knowledge repositories, invoking custom functions or APIs, and managing interactions with sub-agents. These agents are capable of engaging in multi-turn conversations while maintaining context, which allows them to address follow-up inquiries and provide personalized, coherent exchanges. To ensure quality and safety, the platform includes built-in guardrails for content moderation, prevention of prompt injection attacks, and safeguarding of personally identifiable information (PII). Additionally, the system offers optional human-in-the-loop mechanisms that enable real-time oversight and the ability to escalate issues when necessary, ensuring a balance between automation and human control. This combination of features positions the Oracle AI Agent Platform as a robust solution for businesses looking to enhance customer interactions through intelligent automation.

MindFort is an innovative security platform that leverages AI-driven autonomous agents to perpetually assess web applications for vulnerabilities and address them in real time, effectively revolutionizing traditional penetration testing into a continuous, self-sustaining operation. Rather than depending on sporadic audits or manual scans, it utilizes a network of AI agents that simulate the tactics of genuine attackers, thoroughly mapping the entire attack surface and pinpointing exploitable vulnerabilities with remarkable precision. Users can set specific targets and define testing intervals, while the agents autonomously manage the entire process, conducting ongoing evaluations, adjusting their methodologies as needed, and accumulating contextual insights about the systems they safeguard. Each vulnerability identified is rigorously validated through genuine exploitation attempts, significantly minimizing false positives and ensuring that only legitimate, actionable security concerns are highlighted. This proactive approach not only enhances security but also allows organizations to maintain a robust defense posture against emerging threats.

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.

At last, a technological solution that profoundly enhances the effectiveness of your customer experience team. Utilize the ASAPP customer experience performance (CXP) platform to not only elevate organizational efficiency but also boost customer satisfaction (CSAT) scores simultaneously. Outdated and rigid infrastructures hinder your capacity to enhance customer experience performance effectively. Simply layering additional technology has failed to decrease the number of agents, lower expenses, or fulfill the promise of happier customers. Our innovative technology is specifically crafted to empower your agents in providing superior service to customers. Contrary to vendor marketing, bots have not supplanted your agents, and merely offering agent assistance falls short. Utilizing machine learning, the platform acquires valuable insights into how your top-performing agents meet customer needs. It’s not merely about the dialogue; it’s the intricate interplay and order of words and actions that constitute Agent Journeys™, leading to a more tailored and effective customer experience. By harnessing these insights, organizations can revolutionize their approach to customer service.

Codacy is an end-to-end DevSecOps platform designed to enforce code quality, security, and compliance across modern development workflows. It integrates seamlessly with IDEs, repositories, and CI/CD pipelines to provide continuous analysis and real-time feedback. The platform performs static and dynamic testing, dependency scanning, and infrastructure checks to identify vulnerabilities early and throughout the software lifecycle. Codacy’s AI Guardrails feature ensures that both human-written and AI-generated code meet organizational standards by detecting risks and automatically fixing issues. It also offers automated pull request reviews, quality metrics, and test coverage tracking to improve development efficiency. Centralized policies allow organizations to maintain consistent standards across teams and projects. With support for multiple programming languages and easy integration into existing workflows, Codacy simplifies secure coding practices. It helps teams reduce manual review effort while improving code reliability and maintainability. By combining security, quality, and AI protection, Codacy empowers teams to ship faster with confidence.

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.

NVIDIA NeMo Guardrails serves as an open-source toolkit aimed at improving the safety, security, and compliance of conversational applications powered by large language models. This toolkit empowers developers to establish, coordinate, and enforce various AI guardrails, thereby ensuring that interactions with generative AI remain precise, suitable, and relevant. Utilizing Colang, a dedicated language for crafting adaptable dialogue flows, it integrates effortlessly with renowned AI development frameworks such as LangChain and LlamaIndex. NeMo Guardrails provides a range of functionalities, including content safety measures, topic regulation, detection of personally identifiable information, enforcement of retrieval-augmented generation, and prevention of jailbreak scenarios. Furthermore, the newly launched NeMo Guardrails microservice streamlines rail orchestration, offering API-based interaction along with tools that facilitate improved management and maintenance of guardrails. This advancement signifies a critical step toward more responsible AI deployment in conversational contexts.

Transitioning from development to production, as well as from traditional data engineering to artificial intelligence, requires securing the various environments, pipelines, tools, and open-source components integral to your data and AI supply chain. It is essential to continuously identify, prevent, and rectify security and compliance vulnerabilities in AI before they reach production. In addition, monitoring AI applications in real-time allows for the detection and mitigation of adversarial AI attacks while enforcing specific application guardrails. Noma integrates smoothly across your data and AI supply chain and applications, providing a detailed map of all data pipelines, notebooks, MLOps tools, open-source AI elements, and both first- and third-party models along with datasets, thereby automatically generating a thorough AI/ML bill of materials (BOM). Additionally, Noma constantly identifies and offers actionable solutions for security issues, including misconfigurations, AI-related vulnerabilities, and non-compliant training data usage throughout your data and AI supply chain. This proactive approach enables organizations to enhance their AI security posture effectively, ensuring that potential threats are addressed before they can impact production. Ultimately, adopting such measures not only fortifies security but also boosts overall confidence in AI systems.

EarlyCore serves as a dedicated security platform tailored for AI agents, streamlining the processes of pre-production attack testing, real-time surveillance, and compliance documentation throughout the entire lifecycle of the agents. It evaluates agents against a myriad of attack vectors, such as prompt injection, jailbreaking, data theft, tool misuse, and supply chain vulnerabilities. Once deployed, it continuously monitors each agent's actions, establishes typical behavioral patterns, and identifies anomalies in real time, with alerts sent via Slack, email, or webhooks. The platform automatically generates compliance documentation aligned with standards like ISO 42001, NIST AI RMF, EU AI Act, SOC 2, and GDPR, ensuring that users remain audit-ready at all times. With a rapid deployment time of just 15 minutes and no need for code alterations, it offers seamless integration with services like AWS Bedrock, Gemini Enterprise Agent Platform, LangChain, among others. It also provides multi-tenant support, making it an ideal choice for agencies and Managed Security Service Providers (MSSPs). Designed specifically for security teams, agencies, and MSSPs, EarlyCore empowers organizations to secure AI agents efficiently at scale while maintaining high compliance and security standards.

AccuroAI is an advanced platform focused on enterprise-level AI security, data protection, and governance, created to provide organizations with comprehensive oversight and management of AI tool usage within their environments. This platform consistently identifies and catalogs both approved and unauthorized AI applications, covering various areas including browsers, SaaS solutions, networks, and autonomous agents, while meticulously tracing every interaction back to the specific user, application, and intent. By functioning in real time between users and AI models, it scrutinizes both prompts and responses to identify and mitigate risks such as the exposure of sensitive information, prompt injection threats, and the generation of harmful outputs. Furthermore, it implements dynamic data loss prevention techniques that detect and redact sensitive material, including personally identifiable information, financial details, source code, and health records, ensuring that these do not reach the model while maintaining seamless workflow processes. AccuroAI also consolidates regulatory oversight with a comprehensive policy engine that ensures governance is consistently applied across both human interactions and agent activities. Through these features, organizations can enhance their security posture while effectively managing the complexities of AI deployment.

Modern development teams are empowered to identify, fix, and prevent vulnerabilities in source code, open-source libraries, secret management, cloud configuration, and other areas. Modern development teams are empowered to identify, fix, and prevent security flaws in their applications. Continuous security scanning speeds up feature shipping and reduces cycle time. Our expert system reduces false alarms and only informs you about security issues that are relevant. Software that is consistently scanned across all product lines will be more secure. GuardRails integrates seamlessly with modern Version Control Systems such as GitLab and Github. GuardRails automatically selects the appropriate security engines to run based upon the languages found in a repository. Each rule is carefully curated to determine whether it has a high level security impact issue. This results in less noise. A system has been developed that detects false positives and is constantly improved to make it more accurate.

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.

watchTowr serves as a Preemptive Exposure Management platform that consistently uncovers and verifies potential breaches from the perspective of actual attackers. By merging proactive threat intelligence with external attack surface discovery and ongoing security testing, it enables teams to stay ahead of emerging threats and prevent real-world exploitation. The platform's Adversary Sight engine employs genuine reconnaissance methods to detect both unknown and evolving assets, including cloud environments, SaaS platforms, storage buckets, infrastructure endpoints, and shadow IT that may be vulnerable to attack. Additionally, its continuous testing simulates the tactics used by attackers to identify significant vulnerabilities in real time, allowing organizations to focus on those that present the most substantial risk of exploitation. With a deployment model that is automated and requires no agents, watchTowr provides organizations with immediate visibility into exploitable weaknesses found across their external attack surface, delivering insights that are on-demand and aligned with industry standards. This comprehensive approach equips teams with the necessary tools to effectively manage their security posture and respond swiftly to any potential threats.

Aurascape is a cutting-edge security platform tailored for the AI era, empowering businesses to innovate securely amidst the rapid advancements of artificial intelligence. It offers an all-encompassing view of interactions between AI applications, effectively protecting against potential data breaches and threats driven by AI technologies. Among its standout features are the ability to oversee AI activity across a wide range of applications, safeguarding sensitive information to meet compliance standards, defending against zero-day vulnerabilities, enabling the secure implementation of AI copilots, establishing guardrails for coding assistants, and streamlining AI security workflows through automation. The core mission of Aurascape is to foster a confident adoption of AI tools within organizations while ensuring strong security protocols are in place. As AI applications evolve, their interactions become increasingly dynamic, real-time, and autonomous, necessitating robust protective measures. By preempting emerging threats, safeguarding data with exceptional accuracy, and enhancing team productivity, Aurascape also monitors unauthorized app usage, identifies risky authentication practices, and curtails unsafe data sharing. This comprehensive security approach not only mitigates risks but also empowers organizations to fully leverage the potential of AI technologies.

Notch is an innovative AI-driven customer support solution that is engineered to address customer service inquiries comprehensively, rather than merely replying or redirecting questions. This platform leverages sophisticated agent-based AI technology to navigate complex multi-step support processes across various communication channels, including email, chat, voice, and social media, while maintaining constant availability. Emphasizing “true resolution,” Notch effectively fulfills complete customer requests, encompassing backend processes, adherence to policies, and interactions with other systems, all while ensuring precision, consistency, and alignment with the brand's voice and business guidelines. By integrating large language models with strict guardrails and rule-based logic, Notch guarantees compliance, minimizes errors, and upholds auditability, with every action being monitored and clearly explained. This advanced system empowers businesses to enhance their support capabilities without the need for additional staff, as it autonomously resolves a significant proportion of support tickets and adeptly manages peak demand periods, thus improving overall customer satisfaction. In this way, Notch not only streamlines operations but also elevates the customer experience through effective and reliable support solutions.

Streamline the security evaluation process through the use of hosted vulnerability scanners. This approach encompasses everything from discovering potential attack surfaces to pinpointing vulnerabilities, providing actionable insights for IT and security teams. Actively seek out security flaws by transitioning from attack surface analysis to vulnerability detection. Utilize reliable open-source tools to uncover security gaps and gain access to resources commonly employed by penetration testers and security experts globally. Approach vulnerability hunting from the perspective of potential attackers. By simulating real-world security scenarios, test vulnerabilities and enhance incident response strategies. Uncover the attack surface using both advanced tools and open-source intelligence, ensuring your network enjoys improved visibility. With over one million scans conducted last year alone and our vulnerability scanners operational since 2007, addressing security concerns begins with identification. Correct the vulnerabilities, mitigate the associated risks, and conduct follow-up tests to confirm resolution and effectiveness. Continuous monitoring and reassessment are vital in maintaining a robust security posture.

Cyttack.ai is an advanced cybersecurity platform powered by artificial intelligence, aimed at assisting organizations in testing and fortifying their defenses through authentic simulations of DDoS attacks. This innovative platform allows security teams to safely replicate volumetric, protocol, and application-layer attacks within a controlled setting, ensuring that live operations remain unaffected. With features such as real-time monitoring, comprehensive analytics, and actionable reports, Cyttack.ai effectively highlights vulnerabilities, infrastructure limitations, and areas needing better mitigation strategies. By offering customizable attack scenarios, businesses can assess their network resilience, scrutinize security controls, and enhance their readiness for potential incidents. Additionally, this cloud-based solution eliminates the need for complicated setups and facilitates ongoing security evaluations for enterprises, startups, and MSSPs alike. Ultimately, Cyttack.ai equips organizations with the tools necessary to proactively uncover risks, refine their defense strategies, and maintain business continuity in the face of ever-evolving cyber threats. As such, it stands as a vital resource for those seeking to bolster their cybersecurity posture.

Notenic serves as a runtime orchestration and governance platform aimed at managing and securing autonomous AI agents, also known as "digital labor," in real-time scenarios where failures could lead to significant regulatory, legal, or operational repercussions. Functioning as an infrastructure layer, it integrates directly into the execution path of AI systems to enforce strict governance protocols prior to any interaction with systems of record, thus avoiding the limitations of post-output filters or controls applied at the prompt level. The platform incorporates a zero-trust runtime architecture characterized by foundational principles such as zero-persistence, which ensures no data is retained after each session, and execution-path control that enforces policies right at the moment actions are taken. This design also emphasizes independence from model context, effectively preventing any adversarial inputs from compromising governed behavior. In addition, Notenic offers a comprehensive control plane that encompasses the management of AI agents, treating them as operational units with clearly defined roles and appropriate oversight, which enhances organizational efficiency and accountability. This robust framework ultimately ensures that AI operations are conducted within a secure and compliant environment.

Coform AI is a no-code platform designed for enterprises and mid-market companies, enabling the configuration of autonomous AI agents that manage intricate operations and generate tangible business benefits. It empowers teams to create workflows that exceed basic automation, integrating agent orchestration with pre-built templates, monitoring capabilities, governance features, and deployment options within a single adaptable framework. Users can seamlessly connect various enterprise systems, set up workflows, and launch them without any coding or machine learning knowledge, accommodating multimodal inputs like text, images, documents, and audio. The platform's intuitive drag-and-drop interface, over 40 ready-to-use templates, LLM-agnostic framework, API integrations, human oversight mechanisms, built-in safeguards, audit trails, and clear cost structures enable organizations to transition from cumbersome manual processes to secure automated workflows, ultimately enhancing efficiency and productivity. By simplifying the implementation of AI-driven solutions, Coform AI empowers businesses to innovate and stay competitive in their respective markets.

Collaborating with Agents enhances customer success for businesses. You can create and tailor autonomous AI agents to provide round-the-clock assistance to both your staff and clientele. An Agentforce Agent functions as a proactive application, delivering specialized, always-available support for employees or customers, and is armed with the essential knowledge to perform tasks relevant to their designated roles. Agentforce Service Agents autonomously interact with customers through various channels at any time, utilizing natural language for communication. They swiftly and accurately resolve inquiries, as their responses are based on reliable data. You can set up your Service Agent in mere minutes with pre-existing templates or customize it rapidly using low-code solutions. Additionally, you can establish clear security protocols and determine when to escalate issues to human representatives seamlessly. Meanwhile, Agentforce SDRs automatically respond to inquiries about products, manage tasks, and schedule meetings for sales teams. They operate with precision, ensuring that their answers are firmly rooted in your business’s data, thereby enhancing operational efficiency. This innovative approach not only streamlines processes but also empowers employees to focus on more complex tasks that require human insight.