Continuous re-scanning
Continuously validates AI systems after changes to models, prompts, or tools, instead of relying on a one-time assessment.
Adversa AI
BeanspruchenAdversa AI is a continuous AI red teaming platform for agents, LLMs, GenAI apps, and MCP-connected systems, with remediation guidance after findings.
Adversa AIOverview
Adversa AI is a continuous AI red teaming platform for agents, LLMs, GenAI applications, and MCP-connected systems. It is positioned for organizations that need to test proprietary AI systems as they change, rather than relying on a one-time security review.
The platform combines automated attack generation, business-context-aware testing, and post-test remediation guidance. According to the site, it can connect an AI system as an asset, start testing within minutes, and rescan when a model, prompt, or tool changes.
Core capabilities
Full-stack coverage
Tests across model, application, agent, and MCP or infrastructure layers so security checks reflect the full stack of a custom AI system.
Multi-stage attack generation
Uses a layered attack pipeline that includes a static library, mutation engines, adaptive attacks, and AI-generated multi-step campaigns.
Standards-mapped testing
Maps findings and coverage to OWASP Agentic AI and LLM Top 10, with references to MITRE ATLAS and other security standards on the page.
Configurable test depth
Groups testing by depth and cadence, with examples ranging from quick 30–60 minute validation to longer production and compliance assessments.
Remediation-oriented output
Turns findings into actionable remediation guidance and playbooks rather than only reporting weaknesses.
Practical use cases
Ongoing agent regression testing
Use the platform to validate custom AI agents after prompt, model, or tool changes, so security checks stay aligned with the current system state.
Securing AI applications in production
Apply it to enterprise copilots and internal AI apps that need end-to-end testing across the model, application UI, and connected tools or infrastructure.
Organization-specific risk analysis
Use business-context-aware attack scenarios to test for risks tied to company rules, data handling constraints, or domain-specific workflows.
Scheduled assurance assessments
Run deeper or shorter campaigns depending on the situation, from quick daily checks to longer assessments for production readiness or regulatory review.
Pros and Cons
Pros
- Covers multiple AI stack layers, including models, applications, agents, and MCP/infrastructure.
- Supports continuous testing after updates, which fits systems that change frequently.
- Uses multiple attack methods, including static, mutated, adaptive, and AI-generated campaigns.
- Adds business-context awareness so tests can be tailored to organization-specific scenarios.
- Provides remediation-focused guidance, not just vulnerability identification.
Cons
- The site does not publish pricing details on the provided pages, and the pricing URL currently returns a 404 page.
- Integration specifics are not clearly listed on the provided source pages, so the exact deployment and toolchain fit is unclear from this evidence alone.
FAQ
What does Adversa AI do?
Adversa AI is a continuous AI red teaming platform that tests AI agents, LLMs, GenAI apps, and MCP-connected systems with attack campaigns mapped to OWASP and MITRE-style security coverage.
Who is it for?
The platform is designed for teams building or operating proprietary AI agents, chatbots, copilots, and other AI-powered applications that need ongoing validation rather than one-time assessments.
How does the testing workflow work?
Adversa AI uses a mix of static attacks, mutation engines, adaptive attack generation, and AI-generated multi-step campaigns. The site says new model, prompt, or tool updates can trigger a re-scan.
Is pricing available on the site?
The source material does not list pricing or plan tiers. The pricing URL currently returns a 404 page, so pricing details are not published on the site pages provided.
Quick Facts
- Category
- AI red teaming platform
- Primary focus
- Agents, LLMs, GenAI apps, and MCP systems
- Testing model
- Continuous scanning and red teaming
- Security mapping
- OWASP Agentic AI and LLM Top 10, with MITRE ATLAS references on the site
- Source domain
- adversa.ai
- Pricing
- Not published on the provided pages