Your organization is deploying LLMs and agentic AI faster than it can govern them. We close that gap — with the frameworks regulators and boards are asking about today.
Full AIMS design, implementation, and certification readiness — policies, AI risk register, impact assessments, and audit evidence. Delivered by ISO 42001 Lead Implementer certified practitioners.
Govern · Map · Measure · Manage. Every AI deployment inventoried, risk-profiled, and mapped to the framework US enterprises and agencies are standardizing on.
Prompt injection, sensitive data disclosure, insecure output handling, supply-chain risks — assessed and remediated across your LLM-powered applications.
Autonomous agents introduce identity spoofing, tool misuse, memory poisoning, and cascading-failure risks. We threat-model and secure agentic deployments before they reach production.
The adversarial ML threat landscape mapped to your actual AI systems — with concrete detections, mitigations, and red-team scenarios, not theoretical registers.
We deploy AI guardrail platforms — policy enforcement, content filtering, jailbreak defense, PII redaction — and manage their continuous adaptation as your AI usage, models, and threats evolve.
Guardrails are not fire-and-forget. Models change, prompts evolve, new jailbreak techniques emerge weekly, and business teams adopt new AI tools constantly. A guardrail configuration that was sound at deployment degrades within months.
Our AI automation and adaptation management service keeps guardrails effective: continuous policy tuning, new-threat coverage, false-positive reduction, model-upgrade revalidation, and monthly governance reporting your risk committee can actually use.
Fractional CISO leadership, AI governance, GRC, and data governance — start with a 30-minute discovery call or a focused assessment.