Adversa AI
Autonomous AI red teaming platform that continuously tests AI agents, LLMs, and GenAI apps. 300+ attack techniques. OWASP & NIST mapped. Trusted b
Custom threat models built around your specific AI stack, covering everything from prompt injection to agentic goal hijacking. Our platform runs autonomous red teaming campaigns on every model update, prompt change, and new tool connection — so your security posture evolves as fast as your AI stack does. Auto generated patches and actionable reports enable your engineers to prioritize fixes, enforce least-agency principles, and verify defenses hold. AI guardrails block known threats — but four attack patterns consistently bypass them. See what AI red teaming finds that guardrails miss, and why both belong in your agentic AI security program. OpenClaw proved high-agency AI works, but banning it won't stop shadow AI or close the competitive gap. Here's the enterprise security strategy you need instead. Adversa AI wins the 2026 BIG Innovation Award for its Agentic AI Security Platform, recognized for advancing continuous Red Teaming for autonomous agents. Discover how the platform helps enterprises address critical risks like goal hijacking and tool misuse, covering the [...] Most AI security assessments focus solely on prompt injection, leaving up to 90% of your agentic AI attack surface exposed. From memory poisoning to tool execution and inter-agent trust, discover the 10 distinct architectural vulnerabilities that could lead to your [...] AI agents don’t just suggest transfers — they execute them. Attackers can now hijack goals, poison memory, and turn your digital workforce against you through natural language manipulation. OWASP’s new framework maps the four pillars of agentic business risk. The [...] As AI systems evolve from passive responders to autonomous agents equipped with planning, memory, and tool use, the Model Context Protocol (MCP) becomes a central architectural layer — and a new security frontier. Yet traditional red teaming approaches are ill-equipped [...] Competition pushes companies to release AI products sooner with no security in mind. Without designing fail-proof AI systems, companies put at risk their businesses, users, and society as a whole. Adversa AI experts are invited to comment attacks on AI, and our research results are published in top-tier media “I would say most of the engineers working on A.I., they don’t understand the new attack vectors,” Alex Polyakov, the founder and CEO of Israeli A.I. security startup Adversa.Al., says. What can we do to minimize the harm from AI? We must understand that we’re creating a new creature that will have great power beyond our own. …if we don’t teach and train it correctly from the very beginning, it can make things worse than they are now. “Research from cybersecurity and safety firm Adversa AI indicates GPTs will leak data about how they were built, including the source documents used to teach them, merely by asking the GPT some questions.” Adversa AI’s technique is designed to fool facial recognition algorithms i
Mindgard
Secure your AI systems from new threats that traditional application security tools cannot address. Uncover and mitigate AI vulnerabilities, enabling
Organizations are rapidly adopting AI technologies, embedding them into production environments without full visibility into how their probabilistic and opaque behaviors introduce exploitable risk. Mindgard addresses this challenge by providing AI security solutions that help enterprises secure AI models, agents, and applications across the AI lifecycle. Spun out of more than a decade of AI security research at Lancaster University and headquartered in Boston and London, Mindgard enables organizations to identify, assess, and mitigate real-world AI threats. Mindgard’s philosophy is grounded in offensive security. Effective defenses are built by emulating how real attackers scope, plan, and exploit AI systems. Mindgard empowers organizations to understand what attackers can learn, assess how systems can be exploited, and prevent breaches. This approach is powered by an elite team of AI and offensive security experts whose research is embedded directly into the platform, enabling teams to apply advanced AI security capabilities without building them in-house. Join others Red Teaming their AI Mindgard was founded on pioneering research by Dr. Peter Garraghan at Lancaster University, which showed traditional AppSec could not address AI-specific risks. Seed round led by top security investors, validating demand for an offensive-security approach to AI and the thesis that effective defenses must emulate real attacker behavior. Expanded leadership with key hires: CEO James Brear, Head of Research Aaron Portnoy, and Offensive Security Lead Rich Smith, accelerating the research-led foundation. Secured Fortune 500 design partners, validating enterprise demand for attacker-aligned AI security. We’ve assembled the strongest AI security team in the world, with deep roots in cybersecurity AI research and behavioral analysis. Mindgard's values guide our actions and decisions. These principles form the foundation of our company's culture, shaping how we interact within our teams and with our clients. They inspire us to improve continuously and help us navigate the dynamic landscape of the AI security industry. Learn how Mindgard secures AI systems by applying attacker-aligned testing, continuous risk assessment, and runtime defense across models, agents, and applications. See how Mindgard exposes and fixes exploitable AI risk across your AI agents and systems. Mindgard, the leading provider of AI security solutions, helps enterprises discover, assess, and defend their AI systems. Spun out from over a decade of AI security research at Lancaster University and headquartered in Boston and London, Mindgard combines AI red teaming with offensive security expertise and AI research to identify exploitable vulnerabilities in AI models, agents, and applications before attackers do.
Adversa AI
Mindgard
Adversa AI
Mindgard
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Adversa AI
Mindgard
Adversa AI
Mindgard
