Framework Mapping — TTAN.IO

Alignment by Design

Operational intelligence mapped to the standards security teams already trust.

Mapped Frameworks

TTAN.IO aligns with the most relevant AI security and risk frameworks:

Framework	Focus Area	How TTAN.IO Addresses It
OWASP LLM Top 10	LLM-specific vulnerabilities	Directly mitigates Prompt Injection, Data Leakage, Excessive Agency, and other top risks through pre-model policy enforcement and independent evidence.
OWASP Agentic AI	Security for autonomous AI agents	Enforces authority separation and fail-closed execution, ensuring agents cannot exceed their authorized scope or take actions without independent verification.
MITRE ATLAS	Adversarial threats to AI systems	Provides threat modeling alignment, detection signals, and red-team readiness for adversarial ML attacks (model evasion, poisoning, extraction).
NIST AI RMF	AI Risk Management Framework	Maps to all four functions: Govern, Map, Measure, Manage — with verifiable evidence for every AI decision.
ISO/IEC 42001	AI Management System Standard	Supports compliance with controls for AI governance, risk assessment, and operational monitoring.
EU AI Act	Regulatory compliance	Enables audit trails, transparency, and human oversight for high-risk AI systems.

How the Mapping Works

Layer	Capability	Frameworks Addressed
Translate	Contextualize by semantic intelligence	All frameworks
Compliant Control	Mapped and measurable	NIST AI RMF, ISO 42001, EU AI Act
Threat	Signals detected	OWASP LLM Top 10, MITRE ATLAS
Audit Evidence	Independent, verifiable, replayable	All frameworks

Key Capabilities

Translate — Contextualize by Semantic Intelligence

Understands security requirements in the context of your specific AI deployment, translating framework controls into actionable policies.

Compliant Control — Mapped and Measurable

Every security control is explicitly mapped to one or more framework requirements. Controls are measurable, testable, and continuously monitored.

Threat — Signals Detected

Real-time detection of threats across the AI lifecycle, aligned with MITRE ATLAS and OWASP Top 10 threat categories.

Audit Evidence — Independent, Verifiable, Replayable

All decisions, approvals, and executions generate cryptographic evidence that can be replayed for audits, investigations, and compliance reporting.

One-Line Summary

TTAN.IO maps operational AI security controls to OWASP, MITRE, NIST, ISO, and EU AI Act — delivering independent evidence, threat detection, and compliant-by-design governance.

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TTAN.IO — Framework Mapping

OWASP LLM Top 10	Prompt injection, data leakage, excessive agency, and other LLM-specific vulnerabilities
OWASP Agentic AI	Authority separation, fail-closed execution for autonomous AI agents
MITRE ATLAS	Adversarial threats: model evasion, poisoning, extraction
NIST AI RMF	Govern, Map, Measure, Manage — with verifiable evidence
ISO/IEC 42001	AI governance, risk assessment, operational monitoring
EU AI Act	Audit trails, transparency, human oversight for high-risk systems