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AI Safety Evaluation

Insight

Comprehensive AI safety testing across five pillars—ensuring your AI systems meet safety standards, regulatory requirements, and ethical guidelines before and during deployment with scenario-based evaluation and full evidence logging.

Ember AI Agent Framework
The 5 Pillars of AI Safety

Comprehensive Safety Evaluation

Insight evaluates your AI systems across five critical dimensions, ensuring complete coverage of safety requirements.

Policy Compliance

Does the agent follow defined policies?

Ensures governance rules are effective

Tool Safety

Are tool invocations safe and authorized?

Prevents unauthorized actions

Data Safety

Is sensitive data protected from leakage?

Maintains data privacy and compliance

Agent Integrity

Does the agent maintain consistent behavior?

Detects persona drift and deception

Misuse Enablement

Can the agent be manipulated for harm?

Identifies vulnerability to adversarial use

Who Benefits

Built for Your Team

AI Engineers

"Need to add governance without rewriting codebases"

Drop-in SDK integrations for popular frameworks including LangChain, LiteLLM, OpenAI, and Anthropic

AI Governance Professionals

"Need to define, version, and enforce ethics policies"

Comprehensive policy management with ethical grounding, semantic versioning, and role-based access

AI Safety Teams

"Need to verify AI safety before deployment"

Comprehensive safety evaluation with scenario-based testing, full evidence logging, and CI/CD integration

Evaluation Capabilities

Complete Testing Framework

Everything you need to verify AI safety before deployment and continuously monitor for regressions.

Scenario-based testing with assertions
Full evidence logging with complete tool calls
Scoring rubrics with configurable pass thresholds
HTML/JSON reports for stakeholder review
CI/CD integration for continuous safety testing
Model snapshots for reproducibility
How It Works

Evaluation Flow

1

Create Run

Define scenarios and configure evaluation parameters

2

Execute

Daemon claims and runs scenarios atomically

3

Analyze

Full evidence logging with tool call details

4

Report

Scores and results delivered to stakeholders

Compliance Reports

Certification-Ready Reports

Generate comprehensive compliance certification reports with a single click.

Available Compliance Packs

  • EU AI Act (High-Risk AI Systems) - Article-by-article assessment
  • ISO/IEC 42001 - AI Management System certification
  • NIST AI RMF - GOVERN, MAP, MEASURE, MANAGE functions
  • Canadian AIDA Act - High-impact AI risk + impact assessment kit
  • SOC 2 + AI - Trust Services Criteria with AI controls
  • GDPR + AI - Data protection for AI processing

Report Features

  • Control-by-control compliance scoring
  • Evidence collection from Lens, Insight, and Ember
  • Gap analysis with prioritized recommendations
  • Cryptographically signed attestation
  • Evidence package (ZIP) for auditors
Why Veilfire

Our Differentiators

Privacy-preserving

Metadata only, no content logging

Cryptographic audit

Merkle chain + KMS signing

Framework integrations

LangChain, LiteLLM, OpenAI, Claude

5-pillar framework

Comprehensive safety evaluation

Ethical citations

UN, GDPR, EU AI Act, IEEE, NIST

Compliance reports

EU AI Act, ISO 42001, NIST AI RMF, Canadian AIDA Act

Complete with Lens

Insight and Lens together form Veilfire's comprehensive AI governance platform. While Insight provides pre-deployment and continuous evaluation capabilities, Lens delivers real-time policy enforcement in production.

Learn about Lens