Enterprise AI Security for Tech Companies
Red team new AI features before release. Uncover jailbreaks, abuse scenarios, and edge cases that could damage brand reputation or customer trust.
Prevent AI assistants and code generation systems from exposing proprietary algorithms, API keys, or sensitive intellectual property.
Detect prompt injection vulnerabilities, model poisoning risks, and third-party LLM dependencies that could compromise your AI products.
Deploy guardrails that enforce usage policies, prevent abuse, and maintain consistent AI behavior across updates, model swaps, and prompt changes.
Generate audit-ready evidence demonstrating security controls, risk mitigation, and alignment with SOC 2, ISO 27001, and emerging AI regulations.
Analyze codebases with AI-native SAST that understands modern architectures: RAG systems, agent frameworks, and LLM integrations.
