Understand whether your data, processes, security controls, and access permissions are ready for secure AI adoption.

We identify risks, gaps, excessive permissions, misconfigurations, weak controls, data exposure, and unsafe access patterns, all while giving you clear, actionable guidance on what needs to be addressed before AI adoption expands.

Extend your identity strategy and Zero Trust principles to AI-enabled systems.

As AI systems begin to operate more like users, we assess how human and non-human identities are created, governed, authenticated, authorized, and monitored. We then design and implement identity-first controls to reduce risk and ensure consistent policy enforcement across AI workloads.

Move from experimentation to structured, responsible, and accountable AI use. 

We help you develop policies, governance frameworks, and operating models that align AI adoption with your risk tolerance, regulatory requirements, and business goals while also identifying AI agents, defining ownership, and establishing the visibility, accountability, and controls needed to manage autonomous AI systems safely.

Test your AI like an attacker would.

We simulate real-world attack scenarios across AI-enabled applications and workflows to uncover vulnerabilities and provide clear, actionable remediation aligned to business risk.