A modular, extensible system for continuous AI security testing and evidence generation.
Purpose-built modules for adversarial testing
Define testing objectives, scope, constraints, and scheduling. Manage multiple concurrent campaigns.
Multi-turn adversarial reasoning with context awareness, tool use planning, and attack chain orchestration.
Safe execution environment with rate limiting, cost controls, and real-time monitoring.
Analyze attack success, impact assessment, and criteria matching with detailed metrics.
Under the hood
Multi-dimensional attack surface coverage
Direct injection, context confusion, constraint violation, semantic attacks, and linguistic manipulation.
RAG poisoning, fine-tuning attacks, dependency hijacking, and deployment-specific vulnerabilities.
Tool misuse, goal hijacking, action planning exploitation, and multi-step chain manipulation.
Enterprise-grade protection
End-to-end encryption, at-rest encryption, and secure key management. No customer data used for training.
Complete logical and physical isolation between customers. Dedicated infrastructure options available.
Complete audit logs, SOC 2 certification, GDPR compliance, and regulatory documentation.
Programmatic access and third-party integrations
Full-featured REST API for campaign management, execution monitoring, and evidence retrieval.
Native SDKs for popular languages and frameworks.
Native connectors to popular platforms and services.
Model-agnostic testing across major providers.
Native support for major frameworks
Schedule a technical deep-dive with our platform specialists.