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AI introduces a new attack surface that traditional security tools cannot see.
Our AI CART (Continuous Adaptive Red Teaming) platform provides continuous, adversary-grade validation for production AI systems.
across models, prompts, tools, and agent workflows
aligned with OWASP Top 10 for LLMs & NIST AI RMF
across model updates and prompt changes
VotalAI was built specifically for this Agentic AI Threat Vectors
We continuously red team your agentic AI systems using over 100 known attack techniques – payload splitting, character roleplay hijacking, multi-hop injection chains, tool invocation abuse, privilege escalation, and the techniques being discovered right now. Our platform is autonomous, adaptive, and purpose-built for agents that take real actions in the real world.
Connect your agent endpoint, define your tool schema and data sources, and VotalAI maps your complete attack surface. Then it attacks — injecting adversarial payloads across documents, API responses, memory stores, and tool outputs. If your agent defends, VotalAI changes vector and escalates. Just like a real attacker.
Every confirmed finding comes with the full attack chain, blast radius, severity scoring, and AI-generated fix guidance tailored to your architecture.
-> Prompt injection, jailbreaks, data leakage
-> Tool misuse and agent chaining attacks
-> Supply-chain and model abuse scenarios
-> Quantified impact on confidentiality, integrity, and availability
-> Model behavior drift and regression analysis
-> Policy and compliance alignment
-> Actionable remediation guidance
-> Guardrail and control recommendations
-> Evidence for audits and executive reporting
Continuous testing across LLMs, RAG pipelines, and AI agents
Real-time visibility into emerging AI threats
Executive-ready risk reports and compliance artifacts
Leading Enterprises
Threat Detection Rate
Continuous Monitoring
