Regulation — federal / executive order
Executive Order 14110 — Safe, Secure, and Trustworthy Development of AI
Signed October 30, 2023 + subsequent 2025-2026 revisions. The cross-agency baseline for federal AI. Even where individual provisions have been amended, the "safe, secure, trustworthy" test survives as the shared vocabulary GAO, DoD IG, OMB, and the NSC apply to federal AI programs.
What the executive order actually says
"It is the policy of my Administration to advance and govern the development and use of AI in accordance with eight guiding principles and priorities … AI must be safe and secure … the Federal Government will enforce existing consumer protection laws and principles … and enact appropriate safeguards against fraud, unintended bias, discrimination, infringements on privacy, and other harms from AI."
EO 14110 §2 — the safe-and-secure baseline
"Agencies shall … establish frameworks, guidelines, and best practices for the security and reliability of AI-enabled systems, including robust testing, verification, and validation across the AI lifecycle."
EO 14110 §4 — agency-implementation direction
What this means in plain English for federal AI
EO 14110 is not self-executing at the program-office level — it directs agencies to write frameworks. But the "safe, secure, trustworthy" test filters down into three practical questions any agency reviewer or GAO auditor will ask:
- Is the AI reliably safe for its use context? A sustainment-AI that silently under-flags in operational tempo does not pass this on its face.
- Is there robust testing, verification, and validation across the lifecycle? Not just accreditation testing; not just ATO renewal — across the lifecycle.
- Is the discipline documented + independent + auditable? The framework language repeats this baseline.
Even where 2025-2026 revisions have narrowed or shifted specific provisions, this three-question baseline has proven stable in the surrounding agency implementation.
What triggers the exposure in the sample
Silent 45+ day drift with no independent monitoring in place is the specific pattern the "robust testing, verification, and validation across the lifecycle" language is calibrated to prevent. When an agency reviewer or GAO auditor cross-references EO 14110 + the agency's own framework document, the gap is what the questions target.
What the $499 Snapshot shows against this order
- Lifecycle testing evidence — the drift-detection sensor operating across the full 90-day audit period
- Independent verification — distinct model family, distinct methodology, distinct retention
- Auditable documentation — dated evidence + reproducibility drill + signed declaration
- Safe-and-secure stance — the 3 fix-first items include named freeze / hold-for-manual-review criteria
See the reproducibility drill supporting the auditable-documentation obligation →
$499 Snapshot. 3 business days.
Cross-agency-baseline evidence on your program's AI surface + 3 fix-first items + signed declaration.
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Snapshot credit applies to Baseline ($2,500) or Enterprise Attestation ($35-55K) upgrade within 30 days.