Governance & security

Built for the questions your counsel will ask

Most AI vendors get asked these after the pilot. We answer them before it starts.

AI governance

Practices informed by ISO/IEC 42001 and the NIST AI Risk Management Framework, architected with reference to OMB M-25-21 and M-25-22 guidance on high-impact AI, California SB 53 on frontier AI safety transparency, and AB 2013 on generative AI training data disclosure.

Cybersecurity and privacy

Control planning informed by the NIST Cybersecurity Framework and SP 800-53, extended to critical infrastructure requirements including CIRCIA 72-hour incident reporting readiness, NSM-22, AWIA section 2013 risk and resilience assessments, and California CCPA and AB 1008 privacy rights covering AI-generated and inferred personal data.

Cloud deployment

FedRAMP-aware deployment planning as agency environments require, designed by an architect with executive experience leading global cloud migrations across more than 30 countries and deploying auto-scaling infrastructure at 99.9% uptime.

Controlled unclassified information

CMMC and NIST SP 800-171 aware practices, supported by experience with sovereign LLM deployments that keep sensitive operational data local.

Accessibility

WCAG and Section 508 considerations across every interface, with workforce AI tools reviewed for bias in line with California Civil Rights Council rules.

Access control

Zero Trust architecture informed by NIST SP 800-207. Per-session least-privilege authentication, no implicit trust by network location, and end-to-end encryption across IT and OT environments.

Human-gated autonomy

Human-in-the-loop gates, audit logging and controlled rollout, informed by the emerging NIST CAISI AI Agent Standards Initiative, with hard-coded constraints preventing autonomous adjustment of critical infrastructure without operator authorization.

Company details

UEI
FEUGM9F84LB6
CAGE
25GL1
NAICS
541511, 541512, 541519, 518210
Formed
13 February 2025
Location
Orange County, California

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