Enterprise AI Readiness

Enterprise won't deploy your AI agent without a compliance story.

The landscape is moving fast. We'll help you make sense of it.

AIUC-1, ISO 42001, NIST AI RMF, EU AI Act, OWASP, Colorado AI Act. The compliance landscape for AI agents is forming fast, across multiple jurisdictions and frameworks simultaneously. This free assessment maps where your team stands across the ones that matter.

Free. No sales pitch. Takes 45 minutes.

// The Landscape

We track all of it so you don't have to.

The compliance landscape for AI agents is forming across certifications, government regulation, security baselines, and international law. Here's what's active right now.

Certifiable Standards

AIUC-1

First certification for AI agents. 46 controls, quarterly adversarial testing. ElevenLabs certified Feb 2026.

Certifying

ISO/IEC 42001

AI management system standard. The ISO 27001 of AI. Microsoft and KPMG certified. Schellman accredited.

Certifiable

Government Regulation

EU AI Act

Mandatory for high-risk AI in the EU. Risk classification tiers. Penalties up to 7% of global revenue.

Enforcing 2026

NIST AI RMF

US federal AI risk management framework. GenAI profile (AI 600-1) published. Carries procurement weight.

Active

Colorado AI Act

First comprehensive US state AI law. Algorithmic discrimination. Impact assessments required. 1,200+ state AI bills in 2025.

Effective Jun 2026

Singapore Agentic AI

First national governance framework specifically for agentic AI. Launched at Davos, January 2026.

Published

Security Baselines

OWASP Top 10

LLM Application risks (2025) and Agentic Application risks (2026). De facto security standard for AI builders.

Active

MITRE ATLAS

ATT&CK for AI. 66 adversarial techniques, 14 agent-specific. Threat knowledge base for AI/ML systems.

Active

International

CoE AI Convention

First legally binding international AI treaty. In force November 2025. US, UK, Canada, Japan signed.

In Force

OECD AI Principles

47 countries. Definitions used in EU AI Act and Council of Europe treaty. Due diligence guidance Feb 2026.

Foundational

// The Gap

What existing frameworks don't cover.

SOC 2, PCI DSS, and HIPAA were built for infrastructure, payment processing, and health data. AI agents introduce an entirely different compliance surface. One that requires behavioral testing, not configuration checks.

	AI Agent Standards	SOC 2	PCI DSS	HIPAA
Autonomous agent behavior	✓	―	―	―
Harmful output prevention	✓	―	―	―
Hallucination controls	✓	―	―	―
Tool-use / API call safety	✓	―	―	―
Adversarial behavioral retesting	✓	―	Quarterly scans	―
AI-specific risk taxonomy	✓	―	―	―
Data privacy / PII protection	✓	Partial	Partial	✓
Infrastructure security	✓	✓	✓	Partial
Incident response	✓ AI-specific	Generic	Generic	Generic
Societal misuse safeguards	✓	―	―	―

Autonomous Agent Behavior

Emerging AI standards evaluate what an agent does on its own: making decisions, generating outputs, acting on behalf of users. Legacy frameworks were designed for systems humans operate directly.

Behavioral Retesting

AI agent standards require recurring adversarial testing against live systems. Legacy frameworks rely on annual audits that can't keep pace with how quickly AI capabilities change.

Output-Level Controls

Harmful outputs, hallucinations, out-of-scope responses, and output vulnerabilities are now compliance requirements. No legacy standard treats AI-generated content as a compliance surface.

Tool-Use Governance

When an AI agent calls APIs, queries databases, or executes code on behalf of users, the new standards require guardrails and testing of those interactions. This is absent from legacy frameworks.

// The Assessment

Know exactly where you stand.

The assessment maps your current posture against the capabilities that matter across the AI agent compliance landscape. Organized by domain, with a scoring rubric so you can identify gaps before an auditor or procurement team does.

Data & Privacy
PII leakage prevention, cross-customer data isolation, intellectual property protection, consent and retention policies.

Security & Robustness
Adversarial robustness, prompt injection resistance, access controls, endpoint security, supply chain integrity.

Safety & Output Controls
Harmful output prevention, risk taxonomy, pre-deployment testing, content filtering, out-of-scope behavior.

Reliability & Performance
Hallucination controls, unsafe tool-call prevention, behavioral drift monitoring, output consistency.

Governance & Accountability
Failure response plans, vendor due diligence, disclosure requirements, human oversight, audit trail.

Societal Impact
Cyber misuse safeguards, CBRN protections, bias and fairness, environmental impact, dual-use risk.

// Who This Is For

If you're building AI agents for enterprise, this is for you.

CTO / Engineering Lead

Enterprise procurement is starting to ask questions you don't have answers to yet. The assessment gives you a concrete compliance posture, not "we're working on it."

General Counsel

Multiple regulatory frameworks are landing simultaneously across multiple jurisdictions. The assessment maps your exposure across all of them in one place.

Security Lead

Your SOC 2 doesn't cover agent behavior, hallucinations, or autonomous tool use. The assessment shows you the new compliance surface that existing frameworks miss.

Founder

Your agent works. Your demo is great. Enterprise procurement is starting to ask about compliance, and the standards now exist. The assessment gives you a clear answer to bring to the table.

Enterprise won't deploy your AI agent without a compliance story.

We track all of it so you don't have to.

What existing frameworks don't cover.

Know exactly where you stand.

If you're building AI agents for enterprise, this is for you.

It's a lot. We built this so you don't have to start from scratch.