AI & emerging technology security
AI adoption is moving faster than the governance around it, creating risks traditional security was not designed to address. We help organizations adopt AI with confidence: risk assessment, model security testing, and governance frameworks aligned to ISO 42001, the NIST AI Risk Management Framework, and emerging regulation.
AI innovation enabled by governance, not slowed by it
The governance gap is the business problem: models reach production without inventory, sensitive data flows into prompts without review, and regulatory obligations arrive faster than policies. We help organizations build AI governance programs, assess and classify model risk using frameworks such as MITRE ATLAS, test large language model (LLM) deployments for prompt injection and data leakage, and design responsible AI controls that satisfy boards and regulators without slowing delivery teams.
What it takes to govern AI at adoption speed
AI risk assessment & inventory
Model inventory, risk classification, bias and explainability evaluation, and due diligence on third-party AI vendors.
LLM & generative AI security
Prompt injection and jailbreak testing, data leakage assessment, and controls for retrieval and agent architectures.
AI governance programs
Policy, framework, and operating model design aligned to ISO 42001 and the NIST AI Risk Management Framework.
ML model security testing
Adversarial testing including model inversion and extraction, with hardening guidance for production deployments.
Real impact, proven results
Reported by a Fortune 100 financial services client facing a regulatory deadline, with no delivery slowdown.
Reported from LLM red team testing for a health technology client before product launch.
Reported by a SaaS client whose AI management system was built and documented from a standing start.
The ecosystem behind smarter transformation
AWS Partner
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