Adversa.ai

menu Get demo AI security platform Tailored AI security for agents, apps, models, and MCP Adversa AI combines an autonomous red teaming platform and threat intelligence from 3,000+ sources to help enterprises ship AI at scale without shipping risk. Request a demo Explore the platform TRUSTED BY Industry Recognition WHAT WE DELIVER From first threat model to continuous assurance Whether you’re deploying your first AI copilot or hardening a fleet of autonomous systems, Adversa AI meets you where you are with a battle-tested platform or a managed service. AI threat modellingCustom threat models built around your specific AI stack, covering everything from prompt injection to agentic goal hijacking.Learn More Continuous security assessmentOur 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.Learn More Hardening & remediationAuto generated patches and actionable reports enable your engineers to prioritize fixes, enforce least-agency principles, and verify defenses hold.Learn More News from the lab and upcoming events Our latest announcements Article Sergey You have AI guardrails. Red teaming is how you know they’re working 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. play_arrowRead All insert_link Article Sergey OpenClaw proved high-agency AI works. Now enterprises need a security strategy, not a ban 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. play_arrowRead All insert_link Industry Awards admin Adversa AI wins 2026 BIG Innovation Award in the Innovative products – Software category 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 [...] play_arrowRead All insert_link Article admin The 9 attack surfaces your AI security vendor has never heard of 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 [...] play_arrowRead All insert_link Article Sergey From chatbots to digital workers: Managing the business risks of agentic AI 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 [...] play_arrowRead All insert_link Article ADMIN Security Risks of the Model Context Protocol: Can Autonomous Agents Handle Adversarial Testing? Conversation with ChatGPT, Claude, Grok & Deepseek 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 [...] play_arrowRead All insert_link AI Threats Risks for industries 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. Automotive Biometrics Internet Identity & KYC Surveillance Financial Industry Smart City Industry 4.0 Research and expertise Featured in the media 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. Jeremy Kah, Fortune 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. Alex Polyakov, Forbes “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.” Maxwell Zeff, Gizmodo Adversa AI’s technique is designed to fool facial recognition algorithms into identifying a picture of one person’s face as that of someone else by adding minute alterations… Todd Feathers, Vice “Content-based verification might be one of the first victims of real cyberattacks, because it grants direct access to critical information,” says Alex Polyakov, the founder and CEO of Adversa AI, a company dedicated to researching trustworthy AI. Thom Waite, Dazed “According to the new discovery by researchers at Adversa AI, the vulnerabilities affect custom GPT applications built on OpenAI’s powerful API.” Politico PRO …Adversa AI published a blog post demonstrating methods to bypass OpenAI’s content filters and get GPT-4 to generate phishing emails, offensive descriptions of gay people and other highly objectionable text. Kyle Wiggers, TechCrunch “Hackers are pioneering new ways of tricking facial-recognition systems, from cutting the eyes out of photos to making a portrait ‘nod’ with artificial intelligence.” Parmy Olson, The Wall Street Journal “The research highlights the vulnerability of existing AI safety filters and should serve as a wake-up call for the AI community to bolster security measures across the board, says Alex Polyakov, co-founder and CEO of security company Adversa AI.” Rhiannon Williams, MIT Technology Review …such ‘toy’ jailbreak examples will be used to perform actual criminal activities and cyberattacks, which will be extremely hard to detect and prevent,” Polyakov and Adversa AI write in a blog post detailing the research. Matt Burgess, WIRED These sorts of attacks [adversarial AI attacks] are not yet numerous, but have happened, and will happen with greater frequency, says Eugene Neelou, co-founder and CTO of Adversa AI. Robert Lemos, DarkReading “Adversa aim to automate red teaming activities to help organizations investigate the robustness of their guardrails.” Louis Columbus, VentureBeat Thought leadership Partners Adversa AI is collaborating with technology and industry partners around the world to advance the mission of Secure and Safe AI Why Us About Adversa Our mission is to help vendors build and monitor secure and trustworthy AI systems Get Ahead of Adversaries It’s time to protect your AI systems. Get in touch with us! Your Name Your Email Your Company Your Role Regular AI & MLCybersecurityTrustworthy AI Your Message I also want to get news about the latest AI threats (c) Adversa AI, 2026. Continuous red teaming of AI systems, trustworthy AI research & advisoryPrivacy, cookies & security compliance · Security & trust center Platform Solutions Industries Research Compliance Blog About us --- menu Get demo ABOUT US Company Our mission is to build trust in AI and protect AI from cyber threats, privacy issues, and safety incidents Adversa AI is the world-leading  Gartner-recognized AI Security and Safety Startup working on applied security measures for artificial intelligence. With a team of multi-disciplinary experts in mathematics, data science, cybersecurity, neuroscience, and psychology Adversa AI is uniquely able to provide holistic, end-to-end support for the entire AI Trust Risk & Security Management. Founders Alex Polyakov Adversa.ai co-founder and CTO. With 20 years in cybersecurity, Alex has led 100+ person teams, consulted trillion-dollar enterprises, and co-founded an AI-driven AppSec vendor that earned 3x Gartner recognition and 40+ awards. A recognized industry expert, he has spoken at BlackHat, RSA, and 100+ similar events, co-invented the SSRF vulnerability class. Alex Polyakov Daniel Rubinstein Adversa AI co-founder and CEO. Serial entrepreneur with 4 startups built over 10 years. At Adversa AI, Daniel leads go-to-market, partnerships, and product direction. His focus is turning Adversa into an enabler of enterprise AI transformation. The mission: remove security as a blocker so enterprises can actually ship AI at scale. Daniel Rubinstein Angels and Advisors Michael Coates (US)CyberSecurity Venture Capitalist, 3x CISO, ex @Twitter, @Mozilla, @CoinList, Former OWASP Chairman Aviram Jenik (US)Venture Capitalist, active angel investor. Founder x5, investor x40, co-founder of @Beyond Security Randy Conner (US)Pioneered MSSP, Ex @Optiv, @Accuvant, @Symantec, @IBM, @NCR, US Air Force Kapil Raina (US)GTM Advisor, Full Stack Marketing Leader, ex @CrowdStrike, @Zscaler, @Preempt Security Alex Bazhaniuk (US)Founder and CTO, @Eclypsium Ollie Kwan (SG)Founder at Gathid, GTM advisor, ex @Tenable, @Akamai, @Barracuda Jim Laverty (US)Strategic advisor, 1948 Ventures, former CIO @Verition Fund Management Abe Burns (US)Former Partner at Sound Ventures, the VC firm co-founded by Ashton Kutcher and Guy Oseary. Digital executive at Maverick, working with Madonna and U2 Venture capital Perplexity Fund https://perplexityfund.ai f7 Ventures f7 Ventures.com Foundry https://foundry.vc VentureIsrael https://ventureisrael.com TenOneTen Ventures https://www.tenoneten.com 1948 Ventures https://www.1948.vc Moxxie Ventures https://www.moxxie.vc Maru Summit https://marusummit.com Advancements Adversa AI and its research initiatives have been featured by over 20 industry awards for people, technologies and company 123PreviousNext Science A structured knowledgebase of 4000+ research papers on adversarial AI and LLM  Security by a team with a combined experience of discovering 300+ 0-day security vulnerabilities in various products. Research High-profile research projects presented in AI and Cybersecurity events by a team with a combined expertise of 100+ high-profile research conference engagements. Technology First movers in commercializing security technologies for AI with world first patent in AI protection and endorsed by Gartner, IDC and 20+ industry awards. Media coverage Adversa AI and its research initiatives have been featured in top news media worldwide. Conferences We are regularly invited to deliver presentations and share our research findings at the world-known conferences dedicated to AI and Cybersecurity Industry Partners Adversa is invited to partner with nonprofit organizations and initiatives with a primary focus on security and AI IEEE Institute of Electrical and Electronics Engineers Alex Polyakov is the Vice Chair of Cyber for the AI chapter at  IEEE Cybersecurity for Next Generation Communication Systems. COSAI Coalition for Secure AI Alex Polyakov is a Co-lead at the Agentic AI Security workstream. NIST National Institute of Standards and Technology Adversa AI contributes expert feedback for the NIST AI RMF Framework. CSA Cloud Security Alliance Alex Polyakov contributed to the Agentic AI Red Teaming framework, and AI Controls Matrix. Adversa AI platform is listed in the innovative AI Security tools registry. OWASP Open Worldwide Application Security Project Alex Polyakov is a core team member at OWASP AIVSS, and the Adversa AI  platform is among listed GenAI Security tools. ISACA Alex Polyakov is a speaker in ISACA webinars on the AI Red Teaming topic. Contact us If you share our vision, please reach out to us! Email: info@adversa.ai Address: Israel, Tel Aviv, Rothschild Boulevard 45 (c) Adversa AI, 2026. Continuous red teaming of AI systems, trustworthy AI research & advisoryPrivacy, cookies & security compliance · Security & trust center Platform Solutions Industries Research Compliance Blog About us --- menu Get demo Platform share close email Autonomous AI Red Teaming Platform Break your AI before attackers do. An autonomous red teaming engine that continuously tests your entire AI stack — from base models to agentic workflows. Discover complex vulnerabilities, map your business risk, and get actionable remediation playbooks in real time. Request a Platform Demo → Explore the Platform Platform Dashboard — Real-time security posture overview 300+ Attack techniques 40+ Threat groups 100% OWASP LLM Top 10 <4 hrs To break any frontier model The Challenge You’ve secured your AI. But do you test it continuously? You’ve deployed the AI firewall and ran pentests. But in an ecosystem where models drift, AI agents evolve, and attackers use AI to bypass rules and invent new methods within hours, “set and forget” security is a liability. Guardrails — necessary, not sufficient Firewalls and guardrails rely on known techniques and one-step attacks. But creative tailored probabilistic attacks, tool abuse, and jailbreak variations bypass those filters every day. Red team assessments — valuable, not viable long-term You ran a pentest or brought in consultants and spent a significant budget. But that was a snapshot of a moving target. An AI agent is a live, evolving system. Underlying models change without notice, new tools get connected, prompts get tuned. Each change resets your risk posture. DIY / Open Source — possible, not scalable Agentic AI security requires expertise that blends offensive security, ML internals, and business-logic reasoning. The investment in staffing and continuous research quickly exceeds the cost of a purpose-built platform. What Adversa AI is An autonomous red teaming platform for AI Adversa AI continuously validates that your AI agents behave correctly in your specific business context — across every stack layer, from models and agentic cognition to application APIs and infrastructure including MCP. Your guardrails stop the obvious. We find the invisible. Our engine invents novel vulnerabilities using its own on-prem AI models — not relying on external providers — then prioritizes every finding by real business impact and delivers remediation your teams can act on. What used to be a one-time, six-figure engagement is now a continuously operating product. Model layer 01 Application / API layer 02 Agentic layer 03 MCP / Infrastructure 04 ADVERSA AI — 360° COVERAGE Full AI Stack Coverage Model. Application. Agent. MCP. All covered. Connect any AI system as an asset and start testing within minutes. Asset Inventory — Manage and test chatbots, agents, and AI-powered applications 01 Model (direct API) OpenAI, Claude, Gemini, Mistral, Ollama, Hugging Face, or your own proprietary models. Test adversarial prompts, jailbreaks, data extraction, and poisoning detection. 02 Application (web app) Customer service chatbots, AI-powered portals, and websites. Full user experience testing versus OWASP Top 10 for GenAI. 03 Agent (autonomous AI) Code assistants, research bots, and autonomous agents — OpenClaw, LangChain, AutoGPT, custom frameworks. Tool misuse, goal manipulation, inter-agent attacks, and everything from OWASP Top 10 for Agentic AI. 360° Threat Model A complete, tailored threat model Every assessment starts from a structured threat model that maps test objectives, attacker types, attack depth, input modalities, and outcomes — so results are relevant to your risk posture. Test Objectives Vulnerability Categories Attack Engine Modalities Depth & Cadence Security Prompt injection, data leakage, insecure output and so on. Tests mapped to OWASP Top 10 and MITRE ATLAS. Safety Harmful outputs, misinformation, bias, restricted topics, content safety, and more. Business Risk Custom scenarios specific to your organization — competitor data protections, industry-specific rules, contractual obligations. Analysis Dashboard — Framework coverage mapping across security standards 60+ vulnerability categories covering the full spectrum — from prompt injection and data leakage to business risks and compliance violations. Model-Level Adversarial prompts, jailbreaks, prompt leakage. Application Insecure output, code execution, session exfiltration. MCP / Supply Chain Tool misuse, command injection, privilege escalation. Agentic Tool-hijack, goal manipulation, inter-agent attacks. Stage 01 Static Library The largest curated attack database, built from Adversa AI Threat Intel monitoring 3,000+ sources monthly. Stage 02 Mutation Engine 50+ mutation engines morph known attacks and bypass guardrails. Stage 03 Dynamic / Adaptive Context-aware attack generation that analyzes target responses, learns behavioral patterns, and adapts mid-run. Stage 04 AI-Generated Autonomous AI agents craft multi-step, tailored attacks and discover entirely new vulnerability classes. Analysis Dashboard — Attack methodology breakdown: Static, Mutated, and AI-Generated All modalities operate in any language and across mixed-media channels, testing cross-language attacks and unicode exploitation. Text Prompt manipulation — the foundation of AI testing. Documents File-based and embedded attack vectors. Images OCR and visual attacks for vision-enabled systems. Audio Speech-to-text exploitation for voice interfaces. Quick 30-60 min · 100 attacks Dev testing and quick daily validation. Default 1-3 hours · 1,000 attacks Production readiness and regular assessments. Advanced 3-24+ hours · 10,000-100,000 attacks Critical systems and regulatory compliance. 300+ techniques in combinatorial campaigns. Select depth and frequency per your risk appetite. Business-Context Awareness Attacks adapted to your business logic Define your business-risk scenarios via text description or structured CSV — financial rules, data privacy constraints, brand safety requirements — and the platform’s AI attack agents use this full context to craft domain-specific exploit chains. Customer Story — Fintech CopilotA large fintech company released a copilot built on the most secure frontier model API, protected by two guardrails. They evaluated Big Four teams, boutique pentesters, and multiple competitors — and chose Adversa for its unique capability to adapt attacks for business specifics. Most red teams would have stopped after basic attacks returned no results. But our agent understood this was a fintech copilot. It figured out that the copilot must call a specific tool for fee calculations. Using the database of techniques combined with full context of the copilot’s tools and infrastructure, it placed a code injection via the fees calculator — despite two guardrails. The result: full control and arbitrary code execution. We helped address this catastrophic vulnerability in time. What You Get From attack artifacts to remediation playbooks to audit packs Every scan produces actionable outputs for engineering, security leadership, and compliance teams. Vulnerability Scan — Cognitive exploitation findings with risk scoring 01 Risk-ranked findings Reproducible attack artifacts with full timelines and detailed attack path visualization. Attack prompt & formatted payload Model response & AI confidence score OWASP category & threat group mapping Unique visual attack path: entry → escalation → impact 02 Remediation playbooks and “Autopatch” Concrete fixes mapped to responsible teams, not just technical CVEs. Auto-generated patches for each attack Policy change recommendations Defense strategies tailored to each finding Mapped to real business risks 03 Compliance & audit reports Exportable evidence bundles for auditors and regulators. Executive summary (PDF) — for leadership Technical report — for engineers Compliance report — for auditors Mapped to OWASP, MITRE, NIST, EU AI Act Security Operations Built into your security workflow Full vulnerability lifecycle management with integrations into the tools your team already uses. Integrations SIEM, MLOps, CI/CD, and Jira. Vulnerabilities import seamlessly with assignee, team, and status synchronization between Adversa and your task management system. Remediation Finding a vulnerability is only half the battle. Adversa translates complex security findings into developer-ready remediation. // ADV_10.1.1 – Request Resource Caps [NIST] const applyRateLimit = (req, res, next) => { if (req.body.tokens > MAX_LIMIT) { return res.status(429).send(“Excessive resource consumption blocked.”); } next(); }; Continuous Testing Runs on every model update, every workflow change A separate AI model continuously ingests security research and updates the attack engine on a near-continuous basis — so your defenses evolve as fast as the threat landscape. Compare results across scans to track security posture over time. Continuous red teaming and remediation is the only viable way to protect agentic systems. Model Updated New model version deployed or prompt template changed Scan Triggered Automated or scheduled red teaming campaign launches Novel Attacks Generated AI engine crafts context-aware, business-specific exploits Findings Delivered Risk-ranked vulnerabilities with remediation playbooks Fixes Verified Re-scan confirms mitigations hold; posture score updated Threat Intelligence Continuously updated AI threat intelligence A proprietary threat feed and knowledge base power every scan and keep your team informed. 3,000+ Sources monitored monthly The largest curated attack database, continuously enriched by our dedicated research lab. <4 hrs Zero-day discovery time Our lab has rapidly discovered zero-day exploits in leading AI providers within hours of their public releases. ∞ Continuous model updates A separate AI model ingests security research and continuously updates the attack engine, ensuring your defenses stay current. Compliance Mapping Mapped to the frameworks your auditors already require Every finding, report, and evidence bundle is mapped to industry-standard frameworks out of the box. Compliance Dashboard — EU AI Act requirement mapping and audit readiness OWASP LLM Top 10 All 10 categories — 2025 edition OWASP Agentic AI Full coverage MITRE ATLAS AI security framework NIST AI RMF US government risk management EU AI Act European regulation compliance ISO/IEC 42001 International AI standard DORA EU financial sector ICT security HIPAA Electronic health info protection Deployment Options Deploy where your policy requires All AI models run on-prem — critical data is never exposed to external AI providers. Cloud SaaS Fast onboarding with secure connectors Hybrid Sensitive data on-prem, cloud orchestration On-prem / Air-gapped For classified and regulatory environments Managed Service Dedicated red-team experts augmenting your team Trust & Proof Built by the pioneers of AI red teaming We don’t just follow AI security standards. We write them. Adversa AI experts are co-leads and core members of industry-defining frameworks and initiatives: NIST AI RMF, OWAS ASI, CoSAI, CSA AI CM. Industry Recognition Trusted by Fortune 500 Innovate with confidence. Red team with Adversa AI. Stop guessing if your AI agents are secure. Request a platform demo and test your AI with the most advanced red teaming engine in production. Request a Platform Demo → (c) Adversa AI, 2026. Continuous red teaming of AI systems, trustworthy AI research & advisoryPrivacy, cookies & security compliance · Security & trust center Platform Solutions Industries Research Compliance Blog About us --- menu Get demo Continuous AI Red Teaming for Model Context Protocol (MCP) Why Continuous Red Teaming for MCP? Model Context Protocol (MCP), introduced by Anthropic and rapidly adopted across the AI industry, has revolutionized how AI systems connect to external data sources and tools. With thousands of MCP servers now deployed across enterprises, this protocol has become the backbone of agentic AI infrastructure. However, this rapid adoption MCP introducing a new attack surface that traditional security approaches cannot adequately address. As organizations rush to leverage AI capabilities through MCP, the need for specialized security testing has become critical. Why MCP Red Teaming? Critical Business Risks MCP’s architectural design introduces unique vulnerabilities that create entirely new categories of security risks: Goal Hijacking & Task Manipulation Attackers can manipulate an agent’s objectives or decision-making process, causing it to pursue unintended goals. This could lead to agents performing unauthorized actions, accessing restricted resources, or circumventing their intended purpose entirely. Data Exposure & Cross-Tenant Leakage MCP servers can inadvertently expose sensitive data across organizational boundaries. Attackers exploit prompt injection, conversation history access, and credential exposure to exfiltrate intellectual property, customer data, and authentication tokens across different tenants using the same infrastructure. Tool Poisoning & Behavior Manipulation Hidden malicious instructions embedded in tool descriptions, schemas, or resources can hijack AI agent behavior. This includes dynamic tool mutation (“rug pull” attacks) where tools change behavior after approval, and tool shadowing where malicious tools override legitimate ones. Zero-Click AI Exploitation MCP’s trust model enables sophisticated attacks without any user interaction. By manipulating the protocol’s RAG pipeline and mixing trusted with untrusted data, attackers can trigger autonomous data exfiltration and system compromise through carefully crafted inputs. System Compromise Through Code Execution Fundamental vulnerabilities like command injection, SQL injection escalation, and DNS rebinding attacks allow complete system takeover. Unsanitized inputs reaching execution functions enable attackers to install backdoors and gain persistent access. Authentication & Authorization Bypass Weak OAuth implementations, excessive permission scopes, and session management flaws create opportunities for privilege escalation. Stolen tokens can be reused on rogue MCP instances, while missing authentication guidance leads to completely unprotected endpoints. Protocol-Level Design Flaws Fundamental architectural issues like long-lived TCP connections that can’t be monitored, mixing of trust boundaries, and insufficient security standards create systemic vulnerabilities affecting all MCP implementations regardless of vendor. MCP Security Incidents and Real-World Exploits Recent security incidents demonstrate that MCP vulnerabilities are actively being discovered and exploited: Asana MCP Cross-Organization Data Leak (June 2025) Asana’s MCP server exposed data between organizations for over a month, affecting 1,000 customers. Users could access tasks, projects, and files from other companies through a logic flaw in the MCP implementation Bleeping Computer Atlassian MCP Privilege Escalation (June 2025) Researchers demonstrated how attackers could submit malicious support tickets to exploit Atlassian’s MCP implementation, gaining access to internal tenant data and acting as a proxy through support engineers Researchers Warn of AI Attacks After PoC Exploits Atlassian’s AI Agent – Infosecurity Magazine Anthropic MCP Inspector RCE (2025) A critical vulnerability (CVE-2025-49596) with a 9.4 CVSS score exposed developers’ machines to remote code execution. Attackers could exploit the MCP Inspector through malicious websites, highlighting risks in MCP development tools Critical Vulnerability in Anthropic’s MCP Exposes Developer Machines to Remote Exploits MCP Protocol Design Vulnerabilities (2025) Security experts warned that MCP servers use “long-lived TCP connections that can’t really be monitored,” making them “a huge, massive attack vector” when connected to critical systems like SIEMs Asana warns MCP AI feature exposed customer data to other orgs Solution: Continuous AI Red Teaming for MCP Our comprehensive MCP Security platform addresses these critical vulnerabilities through specialized components: MCP Threat Modeling & Architecture Analysis Advanced risk profiling covering: Authentication and authorization framework weaknesses Trust boundary violations and protocol design flaws Tool poisoning vectors and schema manipulation risks MCP Vulnerability Assessment Continuous automated scanning for: Prompt injection and data exfiltration vulnerabilities OAuth bypass and token manipulation flaws Command injection and RCE pathways Tool shadowing and name collision attacks Rate limiting and resource exhaustion issues Advanced MCP Red Teaming Sophisticated attack simulations including: Cross-organization data theft scenarios Multi-stage attack chains (injection → escalation → persistence) Supply chain and typosquatting attacks Conditional payload testing that evades detection We provide specialized expertise in MCP security, combining automated vulnerability discovery with expert analysis based on real-world incidents. Our platform helps organizations safely adopt MCP technology while maintaining robust security postures against both current and emerging threats. BOOK A DEMO NOW! Book a demo of our AI Red Teaming platform for MCP and discuss your unique challenges Your Name Your Email Your Company Your Role Regular AI & MLCybersecurityTrustworthy AI Your Message I also want to get news about the latest AI threats (c) Adversa AI, 2026. Continuous red teaming of AI systems, trustworthy AI research & advisoryPrivacy, cookies & security compliance · Security & trust center Platform Solutions Industries Research Compliance Blog About us