AI Governance & Compliance
Governing AI safely: security risk assessments, LLM deployment policy frameworks, documentation, auditing, vendor risk, incident response and AI-driven offensive testing.
AI SECURITY RISK ASSESSMENTS
We assess AI systems for security risks across models, data and deployment environments. Our assessments identify vulnerabilities such as data poisoning, model theft, adversarial inputs and unintended model behavior, helping organizations understand and mitigate AI-specific risks before they impact operations.
LLM DEPLOYMENT POLICY FRAMEWORKS
We develop governance frameworks for the secure deployment and use of large language models. Our frameworks define acceptable use, data handling, access controls, oversight and risk management requirements, ensuring LLM deployments remain secure, controlled and aligned with organizational objectives.
AI VENDOR RISK EVALUATION
We assess the security, privacy and compliance posture of third-party AI providers before and during their use. Our assessments identify risks across data handling, access controls, security practices and regulatory requirements, helping organizations make informed decisions about AI vendors and maintain control over third-party AI risk.
AI PENTESTING · PROMPT INJECTION & ENGINEERING
We conduct security testing against AI systems to identify vulnerabilities in model behavior, application logic and integrated safeguards. Our assessments include prompt injection, adversarial prompting and attempts to bypass security controls, revealing exploitable weaknesses before they can be abused in real-world environments.