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[ 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.

Adversa AI dashboard screenshot showing product risk and evidence views
  • 300+

    Attack techniques

  • 40+

    Threat groups

  • 100%

    OWASP LLM Top 10 coverage

  • <4 hrs

    To break any frontier model

[ The Challenge ]

You’ve secured your AI.It’s already changed.

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

That pentest 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.

[ Full AI Stack Coverage ]

Model. Application. Agent. MCP.

Connect any AI system as an asset and start testing within minutes.

Adversa AI dashboard — connected AI assets list

Model (direct API)

OpenAI, Anthropic, Google, Mistral, Ollama, Hugging Face, or your own proprietary models. Test adversarial prompts, jailbreaks, data extraction, and poisoning detection.

Application (web app)

Customer service chatbots, AI-powered portals, and websites. Full user experience testing versus OWASP Top 10 for GenAI.

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.

Adversa AI analysis dashboard — framework coverage mapping

Analysis Dashboard — Framework coverage mapping across security standards

[ Business-Context Awareness ]

Attacks adaptedto 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 Copilot

A large fintech company released a copilot built on a leading frontier model API, protected by two guardrails.

Most red teams would have stopped after basic attacks returned no results. But the Adversa agent understood the context of a fintech copilot and determined it 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 — a catastrophic vulnerability addressed 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.

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

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

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
Adversa AI dashboard — vulnerability scan findings with risk scoring

Vulnerability Scan — Cognitive exploitation findings with risk scoring

[ 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.

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.

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 updatedAI 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.

  • 60+

    Vulnerability classes across agent, model, MCP

  • Continuous model updates

    A separate AI model ingests security research and keeps the attack engine current.

  • <4 hrs

    To break any frontier model

[ 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.

Adversa AI dashboard — compliance framework mapping

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 whereyour 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 pioneersof AI red teaming

Adversa AI experts are co-leads and core members of industry-defining frameworks and initiatives: NIST AI RMF, OWASP ASI, CoSAI, CSA AI CM. Trusted by Fortune 500 enterprises including top banks, insurance companies, fintech, Big Four, and automotive enterprises.

Analyst recognition

Standards leadership

A decade of adversarial research

20+ industry awards

20+ industry awards

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.

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