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From GRC Platform to AI-Native Risk Intelligence on AWS:Protecht Story

What this session is about

Protecht, a global leader in enterprise risk management software, partnered with AWS and Caylent to build Cognita AI, an embedded AI assistant purpose-built for governance, risk, and compliance (GRC). Backed by a $280M PSG investment, Protecht built Cognita on a production-grade Amazon EKS foundation, integrating Amazon Bedrock and Anthropic's Claude models with a RAG architecture grounded in Protecht's proprietary GRC content. The result is a contextual, explainable, and auditable AI assistant that guides risk professionals through complex workflows, earning high accolades at the Gartner Enterprise Risk, Audit & Compliance Conference and setting a new benchmark for investor-grade, regulator-trusted AI in months.

Playbook

Editorial commentary · what to actually do about this on Monday

The concept
Cognita AI — embedded GRC AI assistant on EKS + Bedrock + Claude. RAG grounded in proprietary GRC content. Backed by $280M PSG investment.
Why it matters
GRC is heavy on document understanding. AI accelerates risk professionals materially. Investor-grade trust in AI products is achievable.
The hard parts
Auditable outputs are critical. Black-box recommendations don't pass GRC audits — by definition.
Playbook moves
(1) Citations on every output. (2) Trace back to source documents. (3) Make the explanation the product, not just the answer.
The surprise
Investor-grade trust in AI products is achievable when the AI shows its work. Investors and regulators don't fear AI; they fear *opaque* AI. Transparency is the moat in regulated AI products. ---

Independent editorial perspective — not an official AWS or speaker statement. Designed for executives evaluating what to brief their teams on next.

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