Archer Ltd.

Archer today launched Archer Evolv AI Compliance, a product that turns enterprise regulations and policies into policy as code delivered as approved Amazon Bedrock Guardrails, deployed natively inside the customer's own AWS account and enforced before a model responds to any prompt from an employee or an agent. The offering is powered by Archer's proprietary regulatory intelligence and 492 purpose-built models trained since 2017, drawing on 22 million regulatory documents, and is available today directly from Archer and in the AWS Marketplace. Enforcement runs as a continuous loop of Listen, Decide, Act, Assure and Learn, with every control traced back to the obligation that required it and every violation recorded in the customer's GRC system of record; no proxy sits in the inference path, and models outside Bedrock can apply the same control through the Amazon Bedrock Apply Guardrail API. The guardrails govern organizational obligations such as credentials and secrets, source code, confidential business information and customer-defined usage rules, as well as regulatory obligations including personal data under GDPR, CCPA and state privacy law, protected health information under HIPAA, payment and cardholder data under PCI DSS, and regulated categories such as export-controlled, securities and biometric data. Archer connects through one scoped, least-privilege AWS IAM role and reads guardrail configuration and events but never customer traffic, so prompt content, model responses, documents, embeddings, PII, model weights and training data never reach Archer, and native Bedrock guardrails continue enforcing as last deployed if connectivity is interrupted. Customers can introduce enforcement in stages through Observe, Advise and Enforce modes, with each version subject to approval and rollback, and Chief Product & Technology Officer Kayvan Alikhani said a guardrail is only as good as the obligation behind it, adding that Archer has already built that chain so customers do not have to.

Archer launched Archer Evolv Foundation and Archer Evolv Workplace, a governed digital workforce for governance, risk and compliance that runs inside the GRC system of record enterprises already use. Foundation is the shared AI intelligence layer holding every AI Operator inside existing controls and permissions, while Workplace is the marketplace where customers select governed Operators and assign them to their teams; both are in production with customers today. Dozens of Operators are already at work across Foundation, Audit, Third-Party Risk, IT Risk and Operational Risk, growing to more than 200 by the end of 2026 and more than 500 by the end of 2027. The platform draws on 492 purpose-built models, more than 22 million regulatory documents and 250 million GRC records, developed by more than 200 AI engineers and GRC domain experts, and in Archer's production evaluation of legislative effective dates it resolved 100% of cases where a leading general-purpose model was confidently wrong in a meaningful share of them. Chief Executive Officer Bill Diaz said Archer combines 25 years as the system of record for the world's most regulated enterprises with AI built for the domain since 2017, and Chief Product and Technology Officer Kayvan Alikhani said general-purpose AI starts with a prompt while enterprise GRC AI starts with context.