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.

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

01
OpenAI, Claude, Gemini, Mistral, Ollama, Hugging Face, or your own proprietary models. Test adversarial prompts, jailbreaks, data extraction, and poisoning detection.
02
Customer service chatbots, AI-powered portals, and websites. Full user experience testing versus OWASP Top 10 for GenAI.
03
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
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.
Prompt injection, data leakage, insecure output and so on. Tests mapped to OWASP Top 10 and MITRE ATLAS.
Harmful outputs, misinformation, bias, restricted topics, content safety, and more.
Custom scenarios specific to your organization — competitor data protections, industry-specific rules, contractual obligations.

60+ vulnerability categories covering the full spectrum — from prompt injection and data leakage to business risks and compliance violations.
Adversarial prompts, jailbreaks, prompt leakage.
Insecure output, code execution, session exfiltration.
Tool misuse, command injection, privilege escalation.
Tool-hijack, goal manipulation, inter-agent attacks.
Stage 01
The largest curated attack database, built from Adversa AI Threat Intel monitoring 3,000+ sources monthly.
Stage 02
50+ mutation engines morph known attacks and bypass guardrails.
Stage 03
Context-aware attack generation that analyzes target responses, learns behavioral patterns, and adapts mid-run.
Stage 04
Autonomous AI agents craft multi-step, tailored attacks and discover entirely new vulnerability classes.

All modalities operate in any language and across mixed-media channels, testing cross-language attacks and unicode exploitation.
Prompt manipulation — the foundation of AI testing.
File-based and embedded attack vectors.
OCR and visual attacks for vision-enabled systems.
Speech-to-text exploitation for voice interfaces.
30-60 min · 100 attacks
Dev testing and quick daily validation.
1-3 hours · 1,000 attacks
Production readiness and regular assessments.
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
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
Every scan produces actionable outputs for engineering, security leadership, and compliance teams.

01
Reproducible attack artifacts with full timelines and detailed attack path visualization.
02
Concrete fixes mapped to responsible teams, not just technical CVEs.
03
Exportable evidence bundles for auditors and regulators.
Security Operations
Full vulnerability lifecycle management with integrations into the tools your team already uses.
SIEM, MLOps, CI/CD, and Jira. Vulnerabilities import seamlessly with assignee, team, and status synchronization between Adversa and your task management system.
Finding a vulnerability is only half the battle. Adversa translates complex security findings into developer-ready remediation.
Continuous Testing
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.
New model version deployed or prompt template changed
Automated or scheduled red teaming campaign launches
AI engine crafts context-aware, business-specific exploits
Risk-ranked vulnerabilities with remediation playbooks
Re-scan confirms mitigations hold; posture score updated
Threat Intelligence
A proprietary threat feed and knowledge base power every scan and keep your team informed.
Compliance Mapping
Every finding, report, and evidence bundle is mapped to industry-standard frameworks out of the box.

Deployment Options
All AI models run on-prem — critical data is never exposed to external AI providers.
Fast onboarding with secure connectors
Sensitive data on-prem, cloud orchestration
For classified and regulatory environments
Dedicated red-team experts augmenting your team
Trust & Proof
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.


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.