AI Security
AI Governance and Security Programs
Design accountable governance models, control frameworks, and validation workflows that support safe AI deployment under regulatory and operational pressure.
AI Risk and Maturity Baseline
Inventory, threat model, control gaps, maturity scoring, and prioritized roadmap.
LLM and Agent Red Teaming
Prompt injection, data exfiltration, tool abuse, agent escalation, and policy bypass testing.
Guardrails and Policy Architecture
Standards, secure patterns, approval workflows, logging, and enforcement controls.
Non-Human Identity Governance
API keys, service accounts, agent identities, lifecycle controls, and least privilege strategy.
Typical deliverables
- • Governance blueprint (roles, policies, controls, cadence)
- • Threat model and abuse case library
- • Risk register and prioritized remediation plan
- • Evidence and reporting strategy for leadership and audits