Executive Order Policy Engine

AI Safety Measures & Executive Order Compliance Evaluator

Audit frontier foundation models, high-impact algorithmic classifiers, and autonomous agent systems against emerging state and federal executive safety mandates. Calibrate red-teaming rigor, compute tracking thresholds, and emergency fail-safes.

Standard Presets:

1. System Profile & Safeguards

Configure the training compute scale, deployment environment, and verified technical safeguards.

Model or System Name

Training Compute Budget (log₁₀ FLOPs) 10²⁶ FLOPs

Executive Orders establish scrutiny triggers at 10²⁴ and 10²⁶ cumulative floating-point operations.

Autonomous Tool-Execution Tier Level 3: Constrained

L1: Read-only assist; L2: Human approval; L3: Constrained API execution; L4: Unbounded self-prompting swarms.

Target Operational Domain

Mandatory Safety Protocols Check all protocols implemented and verified by your technical team:

Independent Adversarial Red-Teaming CBRN biological evaluation, cyber offensive probing, and automated jailbreak stress testing.

Full Kill-Switch & Cluster Circuit Breaker Hardware-isolated emergency shutdown and cryptographic key revocation within 60 seconds.

Compute Cluster KYC & Outlier Telemetry Monitoring of large model weight exfiltration and unauthorized cluster partitioning.

72-Hour Critical Incident Reporting Window Formal protocol to notify state and federal oversight bodies of high-risk anomalies.

Whistleblower Protection & Safe Harbor Uncensored anonymous internal escalation paths without NDA non-disparagement penalties.

Cryptographic Provenance / Synthetic Watermarking C2PA standard metadata and latent space watermarking for generated artifacts.

Regulatory Risk Tier

Tier 3 (Frontier Compute)

> 10²⁶ FLOP threshold triggers executive audit requirements

Autonomous Threat Multiplier

1.45x Risk Exposure

API execution autonomy elevates fail-safe stringency

Critical Gaps Identified

2 Unresolved Mandates

Must satisfy prior to production deployment signoff

Regulatory Gap Analysis & Action Plan

Compliance Area	Mandate Source	Status	Recommended Remediation

Assessment updated with current parameters.

Executive Order AI Safety Frameworks

Executive orders across leading jurisdictions (such as California EO N-12-23 and White House EO 14110) establish mandatory safety benchmarks for foundation models, algorithmic tools in public agencies, and autonomous agent pipelines. This evaluator helps safety panels and enterprise architects align with these guidelines before public release.

Key Threshold Benchmarks

10²⁶ FLOPs: Frontier compute ceiling mandating comprehensive red-teaming, CBRN evaluation suites, and hardware tracing.
Autonomous Agent Tool Use: Systems capable of executing arbitrary shell or API commands require isolated sandboxes and cryptographic kill-switches.
Incident Transparency: Serious safety incidents, weight theft attempts, and alignment failures require notification within 72 hours.

Frequently Asked Questions

How is the Safety Index calculated?

The score synthesizes compute intensity, autonomous execution freedoms, domain vulnerabilities, and active verification protocols across 5 core pillars: Adversarial Red-Teaming, Hardware Security, Emergency Fail-safes, Reporting Transparency, and Provenance Governance.

What qualifies as an emergency kill-switch?

An effective kill-switch must operate outside the model's runtime context. It requires cryptographic key invalidation, cluster-level network air-gapping, or physical power cutoffs that complete within under 60 seconds without software bypass.

Does my data stay private?

Yes. All calculations, radar rendering, and audit dossier generations happen 100% locally in your browser. No model weights, telemetry, or policy configurations are transmitted externally.