Alternatives to Corgea

SOCRadar Extended Threat Intelligence is a holistic platform designed from the ground up to proactively detect and assess cyber threats, providing actionable insights with contextual relevance. Organizations increasingly require enhanced visibility into their publicly accessible assets and the vulnerabilities associated with them. Relying solely on External Attack Surface Management (EASM) solutions is inadequate for mitigating cyber risks; instead, these technologies should form part of a comprehensive enterprise vulnerability management framework. Companies are actively pursuing protection for their digital assets in every potential exposure area. The conventional focus on social media and the dark web no longer suffices, as threat actors continuously expand their methods of attack. Therefore, effective monitoring across diverse environments, including cloud storage and the dark web, is essential for empowering security teams. Additionally, for a thorough approach to Digital Risk Protection, it is crucial to incorporate services such as site takedown and automated remediation. This multifaceted strategy ensures that organizations remain resilient against the evolving landscape of cyber threats.

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.

ZeroPath (YC S24) is an AI-native application security platform that delivers comprehensive code protection beyond traditional SAST. Founded by security engineers from Tesla and Google, ZeroPath combines large language models with deep program analysis to deliver intelligent security testing that finds real vulnerabilities while dramatically reducing false positives. Unlike traditional SAST tools that rely on pattern matching, ZeroPath understands code context, business logic, and developer intent. This enables identification of sophisticated security issues including business logic flaws, broken authentication, authorization bypasses, and complex dependency vulnerabilities. Our comprehensive security suite covers the application security lifecycle: 1. AI-powered SAST 2. Software Composition Analysis with reachability analysis 3. Secrets detection and validation 4. Infrastructure as Code scanning 5. Automated PR reviews 6. Automated patch generation and more... ZeroPath integrates seamlessly with GitHub, GitLab, Bitbucket, Azure DevOps and many more. The platform handles codebases with millions of lines across Python, JavaScript, TypeScript, Java, Go, Ruby, Rust, PHP, Kotlin and more. Our research team has been successful in finding vulnerabilities like critical account takeover in better-auth (CVE-2025-61928, 300k+ weekly downloads), identifying 170+ verified bugs in curl, and discovering 0-days in production systems at Netflix, Hulu, and Salesforce. Trusted by 750+ companies and performing 200k+ code scans monthly.

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.

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.

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.

The Threatrix autonomous platform ensures the security of your open source supply chain and compliance with licensing, enabling your team to concentrate on producing exceptional software. Step into a new era of open source management with Threatrix's innovative solutions. This platform effectively mitigates security threats while helping teams manage license compliance swiftly within a unified and streamlined interface. With scans that finish in mere seconds, there is no delay in your build process. Instant proof of origin guarantees actionable insights, while the system can handle billions of source files daily, offering remarkable scalability for even the most extensive organizations. Enhance your vulnerability detection capabilities with superior control and visibility into risks, made possible by our cutting-edge TrueMatch technology. Additionally, a robust knowledge base consolidates all known open source vulnerabilities along with pre-zero-day intelligence sourced from the dark web. By integrating these advanced features, Threatrix empowers teams to navigate the complexities of open source technology with confidence and efficiency.

Consistently monitor and remediate vulnerabilities within AI data, models, and application usage using IBM Guardium AI Security, which provides automated and ongoing surveillance for AI implementations. The system identifies security flaws and misconfigurations while managing the security dynamics between users, models, data, and applications. This functionality is integrated within the IBM Guardium Data Security Center, designed to enhance collaboration between security and AI teams through streamlined workflows, a unified overview of data assets, and centralized compliance regulations. Guardium AI Security identifies the specific AI model linked to each deployment, revealing the data, model, and application interactions involved. Additionally, it displays all applications that access the model, allowing users to assess vulnerabilities in the model, its foundational data, and the interacting applications. Each identified vulnerability is given a criticality score, enabling effective prioritization of remediation efforts. Furthermore, users can easily export the vulnerability list for comprehensive reporting, ensuring that all necessary stakeholders are informed and aligned on security efforts. This proactive approach not only strengthens security but also fosters a culture of awareness and responsiveness within the organization.

Heeler serves as an advanced application security platform designed to assist both development and security teams in automating the identification, ranking, and resolution of risks associated with open source and applications by consolidating contextual information from various sources, including code, runtime environments, deployments, dependencies, and business logic into a cohesive actionable framework. By integrating static and dynamic analysis, software composition analysis, threat modeling, and secrets scanning with a sophisticated context engine that illustrates the operational behavior of code in production, Heeler allows for the prioritization of threats in real-time based on their exploitability and potential business repercussions, rather than simply relying on the number of vulnerabilities. This platform not only automatically produces validated remediation recommendations but can also generate merge-ready pull requests to update libraries or resolve identified issues, which significantly reduces the need for manual research and expedites the process of implementing fixes. Furthermore, Heeler delivers comprehensive visibility throughout the software development lifecycle, systematically tracking vulnerabilities from the moment they are discovered until they are resolved, while also ensuring that fixes are effectively monitored across various deployments, thus enhancing the overall security posture of the organization.

ZeroLeaks serves as an AI-driven security platform designed to assist organizations in detecting and addressing vulnerabilities related to exposed system prompts, internal tools, and logical flaws that may lead to prompt injection, extraction, or other forms of data leakage threatening sensitive instructions or intellectual property. The platform features an interactive dashboard that allows users to perform manual scans of system prompts or automate the scanning process through CI/CD integrations, enabling the identification of leaks and injection vectors prior to code deployment. Additionally, it employs an AI-enhanced red-team analysis engine to evaluate prompt areas for logical errors, extraction threats, and potential misuse, providing users with evidence, scoring, and actionable remediation strategies. Aimed at enterprise-level security for products utilizing large language models, ZeroLeaks delivers vulnerability assessments that detail the extent of prompt exposure, highlight prioritized risks, provide proof of issues discovered, and outline access paths along with proposed solutions, such as prompt reconfiguration and tool access restrictions. Ultimately, ZeroLeaks empowers organizations to bolster their security measures and safeguard their intellectual assets effectively.

GPT-5.4-Cyber is a tailored variant of GPT-5.4, specifically created to enhance defensive cybersecurity operations, which empowers security experts to more adeptly analyze, identify, and address vulnerabilities. This model has been fine-tuned to reduce the restrictions placed on legitimate security tasks, facilitating more in-depth involvement in areas such as vulnerability research, exploit analysis, and secure code assessments that are often limited in standard models. One of its standout features is the ability to perform binary reverse engineering, enabling the examination of compiled applications without needing the source code to uncover potential malware, vulnerabilities, and evaluate the overall strength of systems. Furthermore, it operates within OpenAI’s Trusted Access for Cyber (TAC) initiative, distributing its capabilities through a structured access framework that mandates identity verification and levels of trust, thereby ensuring that only approved defenders, researchers, and organizations are granted access to its most sophisticated functionalities. This approach not only enhances security measures but also fosters a more collaborative environment for cybersecurity professionals.

Aegis provides robust protection for your AI models, effectively preventing issues like model poisoning and safeguarding data integrity, allowing you to confidently implement your AI/ML initiatives in either the cloud or on-premises while maintaining a strong security posture against a constantly changing threat environment. The lack of security in AI/ML tools can widen attack surfaces and significantly increase the risk of security breaches if security teams do not remain vigilant. An inadequate security strategy for AI/ML can lead to severe consequences, including data breaches, operational downtime, loss of profits, damage to reputation, and theft of credentials. Additionally, weak AI/ML frameworks can endanger data science projects, leaving them susceptible to breaches, theft of intellectual property, supply chain vulnerabilities, and manipulation of data. To combat these risks, Aegis employs a comprehensive suite of specialized tools and AI models to scrutinize data within your AI/ML ecosystem as well as information from external sources, ensuring a proactive approach to security in an increasingly complex landscape. This multifaceted strategy not only enhances protection but also supports the overall integrity of your AI-driven operations.

Arambh Labs introduces a new era of security operations by leveraging agentic AI to detect, investigate, and remediate threats in real time. Its swarm of security-specialized agents — including Byte the first responder, Rook the strategist, Echo the threat hunter, and Talon the intelligence gatherer — work collaboratively like a digital defense team. The platform unifies visibility across all layers of IT infrastructure, from cloud and endpoints to networks, identity systems, and data environments, delivering context-rich insights that extend far beyond traditional logging tools. Intelligent prioritization reduces noise by analyzing risks in context, allowing security teams to focus on the 1% of alerts that matter most. With autonomous remediation, Arambh Labs executes response playbooks instantly, aligning actions with predefined policies for rapid containment and recovery. This automation has helped customers cut their MTTR by over 85% while strengthening proactive defense postures. Designed for scale, Arambh Labs integrates seamlessly with over 100 security solutions and supports both SaaS and on-prem deployments. By combining deep security expertise with cutting-edge agentic AI, the platform empowers enterprises to stay ahead of evolving threats and operate with confidence.

Troy is an innovative binary analysis platform powered by artificial intelligence and machine assistance, created by BigBear.ai, aimed at improving the assessment and testing of cybersecurity vulnerabilities. The platform streamlines the binary reverse engineering process, which results in enhanced visibility into the code that operates on various sensors and devices. By smartly automating prevalent tools and methodologies, Troy not only extracts critical data but also delivers insightful findings, thereby quickening the detection of software vulnerabilities. One of Troy's standout features is its capability to produce a reverse Software Bill of Materials (SBOM) for binaries that do not have accessible source code, which minimizes the need for manual effort and boosts the speed of analysis. Furthermore, the platform's modular and customizable architecture enables the incorporation of new tools, techniques, and AI-driven analysis, allowing for the development of adaptable workflows that meet the evolving needs of cybersecurity experts. As a result, Troy stands out as a vital asset in the fight against cybersecurity threats.

Andesite aims to enhance the effectiveness and efficiency of cyber defense teams through its innovative AI-driven technology, which streamlines the decision-making process related to cyber threats by quickly transforming decentralized data into actionable insights. This capability enables cyber defenders and analysts to rapidly identify threats and vulnerabilities, prioritize tasks, allocate resources effectively, and respond to incidents, ultimately bolstering security measures while minimizing costs. Developed by a team passionate about supporting analysts, Andesite's mission centers on empowering these professionals and alleviating their workload. By focusing on the needs of analysts, the platform not only improves operational efficiency but also fosters a proactive security environment.

ARTEMIS, developed by Repello AI, proactively seeks out vulnerabilities in your AI applications by mimicking the tactics employed by cybercriminals. By conducting thorough tests, ARTEMIS identifies and assists in addressing security threats before they can be leveraged in live environments, drawing on the largest collection of AI-focused threat intelligence available. Key Features: 1. Replicates genuine attack scenarios against your AI systems. 2. Identifies vulnerabilities throughout your AI architecture. 3. Offers practical recommendations for mitigation. 4. Evolves in response to new threats as your AI applications expand. Created by security experts, ARTEMIS is designed to safeguard AI from potential breaches. It is crucial to implement robust security measures early in the development phase and maintain them through the deployment process, ensuring ongoing protection against emerging threats.

Gray Swan is a comprehensive AI security and evaluation platform designed to empower organizations to implement AI solutions confidently while safeguarding LLM applications, agents, and model deployments against evolving threats, policy breaches, and harmful content. It seamlessly integrates with any LLM provider, enhancing security measures without interrupting existing workflows, and combines automated adversarial testing, ongoing red teaming, runtime supervision, and adaptive defenses. By leveraging threat intelligence from over 15,000 adversarial researchers and more than three million simulated attack attempts generated through its Arena, Gray Swan goes beyond merely identifying known threats to help teams uncover vulnerabilities prior to their documentation in public databases. Its primary offerings include Shade, a cutting-edge AI vulnerability assessment platform that continuously evaluates LLMs akin to a dedicated security researcher operating around the clock, and Cygnal, which acts as a protective layer for real-time AI interactions and monitoring. With these tools, organizations can proactively anticipate and mitigate risks associated with AI deployments.

Blink serves as a powerful ROI enhancer for security teams and business executives aiming to efficiently secure an extensive range of scenarios. It provides comprehensive visibility and coverage of alerts throughout your organization and security infrastructure. By leveraging automated processes, it minimizes noise and decreases the incidence of false alarms in alerts. Additionally, it scans for attacks while proactively detecting insider threats and vulnerabilities. Users can establish automated workflows that incorporate pertinent context, simplify communication, and shorten mean time to resolution (MTTR). Alerts can be acted upon to bolster your cloud security posture through no-code automation and generative AI. The platform also facilitates shift-left access requests, streamlines approval processes, and allows developers to work without hindrance, all while ensuring application security. Furthermore, it enables ongoing monitoring of applications for compliance with SOC2, ISO, GDPR, and other standards, helping to enforce necessary controls. This comprehensive approach not only improves security but also enhances operational efficiency across the board.

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.

One of the greatest hurdles in cybersecurity is effectively prioritizing risk, and our cutting-edge solution offers a tailored business framework for your security operations, enabling you to assess the efficacy of your security measures in relation to your specific organizational needs. Cyclops seamlessly integrates with your current security systems through the CSMA methodology, collecting metadata on a variety of threats, vulnerabilities, cloud environments, SaaS applications, and beyond. It further enhances this information by contextualizing it, analyzing the same entities across different integrated platforms. By delivering this context-driven approach to risk assessment, our cybersecurity mesh product empowers you to make informed decisions and concentrate on what truly matters for your business's security posture. Ultimately, this allows organizations to proactively address vulnerabilities while aligning security strategies with business objectives.

Raven is an innovative runtime application security platform that safeguards cloud-native applications by functioning internally during execution instead of depending on external security measures. By providing real-time insights into the actual operation of code, it can comprehend execution flows, libraries, and behaviors at the function level, which aids in identifying and averting malicious activities before they manifest. In contrast to conventional tools like WAF or EDR that observe from an external viewpoint, Raven integrates within the application itself, thus equipping it to thwart exploits, supply chain attacks, and zero-day vulnerabilities even in the absence of known threats or CVEs. It perpetually scrutinizes runtime activities, detects irregular patterns, or misuse of legitimate operations, and promptly intervenes to halt harmful executions. Furthermore, Raven aids security teams in prioritizing their efforts by sifting through countless irrelevant vulnerabilities, allowing them to concentrate solely on those that pose a genuine risk. This proactive approach not only enhances security but also streamlines the overall security management process, ensuring that resources are allocated effectively.

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.

NeuralTrust is a leading platform to secure and scale LLM agents and applications. It is the fastest open-source AI Gateway in the market, providing zero-trust security for seamless tool connectivity and zero-trust security. Automated red teaming can detect vulnerabilities and hallucinations. Key Features - TrustGate : The fastest open source AI gateway, enabling enterprise to scale LLMs with zero-trust security and advanced traffic management. - TrustTest : A comprehensive adversarial testing framework that detects vulnerabilities and jailbreaks. It also ensures the security and reliability of LLM. - TrustLens : A real-time AI monitoring and observability tool that provides deep analytics and insights into LLM behaviors.

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.

XBOW is an advanced offensive security platform driven by AI that autonomously identifies, confirms, and exploits vulnerabilities in web applications, all without the need for human oversight. It adeptly executes high-level commands based on established benchmarks and analyzes the resulting outputs to tackle a diverse range of security challenges, including CBC padding oracle attacks, IDOR vulnerabilities, remote code execution, blind SQL injections, SSTI bypasses, and cryptographic weaknesses, achieving impressive success rates of up to 75 percent on recognized web security benchmarks. Operating solely on general directives, XBOW seamlessly coordinates tasks such as reconnaissance, exploit development, debugging, and server-side assessments, leveraging publicly available exploits and source code to create tailored proofs-of-concept, validate attack pathways, and produce comprehensive exploit traces along with complete audit trails. Its remarkable capability to adjust to both new and modified benchmarks underscores its exceptional scalability and ongoing learning, which significantly enhances the efficiency of penetration-testing processes. This innovative approach not only streamlines workflows but also empowers security professionals to stay ahead of emerging threats.

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.

With SydeLabs, you can proactively address vulnerabilities and receive immediate defense against threats and misuse while ensuring compliance. The absence of a structured method to recognize and resolve vulnerabilities in AI systems hinders the secure implementation of models. Furthermore, without real-time protective measures, AI applications remain vulnerable to the constantly changing landscape of new threats. The evolving regulations surrounding AI usage create opportunities for non-compliance, which can jeopardize business stability. Thwart every attack, mitigate abuse, and maintain compliance seamlessly. At SydeLabs, we offer an all-encompassing suite of solutions tailored to your AI security and risk management needs. Gain an in-depth insight into the vulnerabilities present in your AI systems through continuous automated red teaming and tailored assessments. Leverage real-time threat scores to take proactive steps against attacks and abuses across various categories, thereby establishing a solid defense for your AI systems while adapting to the latest security challenges. Our commitment to innovation ensures that you are always a step ahead in the ever-evolving world of AI security.

Initiate a cybersecurity risk evaluation with CyberRiskAI. We provide a swift, precise, and cost-effective solution for organizations aiming to uncover and address their cybersecurity vulnerabilities. Our AI-driven evaluations equip businesses with essential insights into possible weaknesses, allowing you to focus your security resources and safeguard your sensitive information. Enjoy a thorough cybersecurity audit and risk appraisal. Our all-inclusive risk assessment tool comes with a customizable template. We utilize the NIST framework for cybersecurity audits. Designed for quick and straightforward implementation, our service is largely automated, offering a hassle-free experience. You can streamline your quarterly cybersecurity audits through automation. All collected data remains confidential and is securely stored. Upon completion of the audit, you will possess comprehensive information necessary to address your organization’s cybersecurity threats effectively. Armed with these critical insights into potential weaknesses, your team will be well-equipped to enhance security measures and mitigate risks effectively.

Balbix leverages advanced AI to automatically evaluate the enterprise attack surface, delivering a perspective on breach risk that is 100 times more precise. The platform perpetually uncovers and ranks vulnerabilities along with other risk factors, enabling both automated and supervised remediation efforts. By using Balbix, organizations can achieve a remarkable 95% reduction in cyber risk while enhancing their security team's efficiency by tenfold. A significant number of data breaches occur due to known security flaws that remain unaddressed, leading to a pressing challenge for security teams striving to identify and fix these vulnerabilities. With the inability to keep pace with emerging threats, many teams find themselves overwhelmed. To provide an accurate assessment of breach risk, Balbix continuously processes hundreds of billions of dynamic signals from your network. It sends out prioritized tickets containing essential context to risk owners, facilitating both automatic and supervised remediation efforts. Additionally, organizations can implement leaderboards and incentives to introduce a gamified element to their cyber risk management strategy, fostering engagement and accountability among team members. Ultimately, Balbix empowers enterprises to enhance their overall security posture significantly.

Trusys.ai serves as a comprehensive AI assurance platform designed to assist organizations in assessing, securing, monitoring, and managing artificial intelligence systems throughout their entire lifecycle, from initial testing stages to full-scale production implementation. The platform includes various tools, such as TRU SCOUT, which automates security and compliance checks against international standards and identifies potential adversarial vulnerabilities; TRU EVAL, which conducts thorough evaluations of AI applications—covering text, voice, image, and agent functionalities—focusing on metrics like accuracy, bias, and safety; and TRU PULSE, which monitors production in real-time, providing alerts for issues related to drift, performance drops, policy breaches, and anomalies. By offering complete visibility and tracking of performance, Trusys enables teams to identify unreliable outputs, compliance deficiencies, and operational challenges at an early stage. Additionally, Trusys facilitates model-agnostic evaluations with a user-friendly, no-code interface and incorporates human-in-the-loop assessments along with customizable scoring metrics, effectively marrying expert insights with automated evaluations. This combination ensures that organizations can maintain high standards of performance and compliance in their AI systems.

Reclaim Security is an advanced cybersecurity platform powered by artificial intelligence, designed to autonomously detect and rectify security vulnerabilities within an organization’s current security framework and tools. Rather than merely identifying weaknesses or sending out alerts, it emphasizes automated remediation, enabling security teams to efficiently address misconfigurations, apply security policies, and mitigate risks with minimal manual effort. The platform conducts thorough scans of the organization’s security apparatus, encompassing cloud services, identity management systems, endpoint protection mechanisms, and other defensive measures to uncover deficiencies, poorly configured settings, or ineffective controls that could be targeted by cybercriminals. When vulnerabilities are identified, it evaluates them against real-world attack methodologies and prioritizes the most critical threats. Following this assessment, it suggests appropriate remediation strategies and can automatically implement those adjustments once approved, ensuring that security configurations are consistently optimized and resilient against potential attacks. By streamlining the remediation process, Reclaim Security enhances the overall security posture of an organization.

WebOrion Protector Plus is an advanced firewall powered by GPU technology, specifically designed to safeguard generative AI applications with essential mission-critical protection. It delivers real-time defenses against emerging threats, including prompt injection attacks, sensitive data leaks, and content hallucinations. Among its notable features are defenses against prompt injection, protection of intellectual property and personally identifiable information (PII) from unauthorized access, and content moderation to ensure that responses from large language models (LLMs) are both accurate and relevant. Additionally, it implements user input rate limiting to reduce the risk of security vulnerabilities and excessive resource consumption. Central to its robust capabilities is ShieldPrompt, an intricate defense mechanism that incorporates context evaluation through LLM analysis of user prompts, employs canary checks by integrating deceptive prompts to identify possible data breaches, and prevents jailbreak attempts by utilizing Byte Pair Encoding (BPE) tokenization combined with adaptive dropout techniques. This comprehensive approach not only fortifies security but also enhances the overall reliability and integrity of generative AI systems.

ServerSage is an advanced AI-driven platform that automates the entire penetration testing process, encompassing everything from initial planning and reconnaissance to system probing, attack execution, and thorough documentation—mirroring the functions of a human red team. Designed for cybersecurity experts seeking to enhance their testing efficiency, it takes care of the labor-intensive tasks, including repetitive reconnaissance, validating vulnerabilities, executing exploits, and generating detailed reports. This allows your team to focus on making informed strategic decisions while ServerSage efficiently manages the technical aspects and documentation needed for effective security assessments. Ultimately, ServerSage empowers organizations to strengthen their defenses by integrating intelligent automation into their security protocols.

SplxAI presents an automated platform tailored for conversational AI solutions. At the heart of their offerings is Probe, which actively detects and addresses vulnerabilities within AI systems by replicating targeted attack scenarios specific to various domains. Among its notable features, Probe provides comprehensive risk assessments, compliance and framework evaluations, domain-oriented penetration testing, ongoing automated testing, and support for over 20 languages, showcasing its multi-lingual capabilities. This platform is designed to integrate smoothly into development processes, ensuring that AI applications maintain a high level of security throughout their entire lifecycle. SplxAI aims to protect and fortify generative AI-driven conversational applications by delivering sophisticated security and penetration testing services, allowing organizations to harness the full potential of AI without sacrificing safety. By using Probe, developers can effectively evaluate and fine-tune their applications' boundaries to achieve the best security measures and enhance user experiences without imposing unnecessary limitations. Ultimately, this approach encourages a balance between robust security and innovative functionality in AI technology.

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.

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.

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.

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.

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.

Acuvity stands out as the most all-encompassing AI security and governance platform tailored for both your workforce and applications. By employing DevSecOps, AI security can be integrated without necessitating code alterations, allowing developers to concentrate on advancing AI innovations. The incorporation of pluggable AI security ensures a thorough coverage, eliminating the reliance on outdated libraries or insufficient protection. Moreover, it helps in optimizing expenses by effectively utilizing GPUs exclusively for LLM models. With Acuvity, you gain complete visibility into all GenAI models, applications, plugins, and services that your teams are actively using and investigating. It provides detailed observability into all GenAI interactions through extensive logging and maintains an audit trail of inputs and outputs. As enterprises increasingly adopt AI, it becomes crucial to implement a tailored security framework capable of addressing novel AI risk vectors while adhering to forthcoming AI regulations. This approach empowers employees to harness AI capabilities with confidence, minimizing the risk of exposing sensitive information. Additionally, the legal department seeks assurance that there are no copyright or regulatory complications associated with AI-generated content usage, further enhancing the framework's integrity. Ultimately, Acuvity fosters a secure environment for innovation while ensuring compliance and safeguarding valuable assets.

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.

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.

Cortex XSIAM, developed by Palo Alto Networks, represents a cutting-edge security operations platform aimed at transforming the landscape of threat detection, management, and response. This innovative solution leverages AI-powered analytics, automation, and extensive visibility to significantly boost the performance and efficiency of Security Operations Centers (SOCs). By assimilating data from various sources such as endpoints, networks, and cloud environments, Cortex XSIAM delivers real-time insights along with automated workflows that expedite threat detection and mitigation. Its advanced machine learning technologies help to minimize distractions by effectively correlating and prioritizing alerts, allowing security teams to concentrate on the most pressing incidents. Additionally, the platform's scalable design and proactive threat-hunting capabilities enable organizations to remain vigilant against the ever-changing nature of cyber threats, all while optimizing operational workflows. As a result, Cortex XSIAM not only enhances security posture but also promotes a more agile and responsive operational environment.

AQtive Guard serves as a comprehensive cybersecurity solution designed to assist organizations in safeguarding and overseeing their cryptographic assets alongside non-human identities (NHIs) like AI agents, keys, certificates, algorithms, and machine identities throughout their IT infrastructure. The platform provides ongoing discovery and immediate visibility into both NHIs and cryptographic elements, seamlessly integrating with current security tools, cloud services, and repositories to deliver a cohesive understanding of security status. By leveraging cutting-edge AI and extensive quantitative models, AQtive Guard evaluates vulnerabilities, ranks risks, and presents actionable insights with automated remediation workflows that address issues and uphold policies such as credential rotation and certificate renewal. Furthermore, the platform ensures compliance with the latest standards, including emerging NIST cryptographic protocols, while facilitating the lifecycle management of cryptographic assets to mitigate risks associated with both present and future threats. In this way, AQtive Guard not only fortifies security but also enhances organizational resilience against evolving cyber challenges.

CyberCAST serves as our all-inclusive cybersecurity solution, enhancing the efficiency of our managed security services. This platform sheds light on essential insights regarding an organization's vulnerability to threats and supports an evolving cybersecurity strategy that adapts over time. Initially, our approach combines technical penetration testing with an extensive security audit, leading to a quantitative security risk score that acts as a cornerstone for creating a robust cybersecurity framework. Our team of security experts meticulously analyzes all findings to customize our strategy according to the unique requirements of the organization. The penetration testing aspect assesses results based on business risks and classifies vulnerabilities into systemic and procedural categories. Importantly, you don’t need to possess deep technical knowledge to grasp the information provided. CyberCAST presents all security findings in clear, straightforward business terminology, making it accessible for communication with executive leadership and board members alike. This ensures that everyone involved can engage with the cybersecurity strategy effectively, fostering a culture of awareness and proactive security management across the organization.