The AI Governance Platform to Control AI Risk

The LatticeFlow AI platform helps you avoid the AI governance theatre and implement executable technical controls that track AI risk continuously.

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Features

Continuous Discovery across your AI Ecosystem

Get a continuously updated view across cloud and on-prem, surfacing endpoints, data sources, and connected components as they change. LatticeFlow feeds this live system context into evaluations and security checks to produce deeper and more accurate risk assessments.

Agent-Assisted Eval Authoring

Use LatticeFlow’s CLI, skills, and readable YAML spec to let agents help draft evaluations tailored to your AI App’s use case. Every eval remains deterministic, reproducible, and executable — not a soft Markdown plan, but a versioned technical artifact your teams can run, review, and maintain.

At a Glance

The Technical Evidence Engine

Turn every evaluation into technical evidence with full provenance. Trace each high-level metric back to the exact score, test case, system behavior, and evaluation snapshot behind it. Export as YAML/JSON. Reuse in any workflow.

Inputs

Customization

Dataset Generation
Custom Metrics
Multi-turn Interaction

Measure

LLM Judge
Pass@K
Signals
Repeatability

Robustness

Caching
Rate Limiting
Parallel Execution
Refusals & Retries

Traceability

Evidence & Logs
QA

Developer Experience

See more Evals in Atlas

Built for an Agentic World

Our CLI and automations integrate directly with agentic workflows and skills, allowing seamless execution and monitoring.

Frequently Asked Questions

What is an AI governance platform, and why do enterprises need one?

An AI governance platform centralizes the management of AI risk across the entire application lifecycle - from pre-deployment evaluation through production monitoring. Enterprises need one because AI systems introduce unique risks like hallucinations, bias, data leakage, and security vulnerabilities that traditional software testing cannot catch. Without a dedicated AI governance solution, teams lack the technical evidence and audit trails required to prove compliance to regulators and stakeholders.

How does LatticeFlow AI differ from other AI governance tools?

Most AI governance tools focus on either policy management or pre-deployment testing - not both. LatticeFlow AI bridges that gap by combining app-specific evaluations and adversarial testing before launch with continuous production monitoring afterward. Rather than generic LLM benchmarks, it generates evaluators tailored to your use case and translates results into clear risk interpretations, remediation steps, and audit-ready documentation.

How does the platform support AI compliance with frameworks like the EU AI Act and OWASP?

LatticeFlow AI includes 20+ customizable governance frameworks and 100+ ready-to-run evaluations mapped to standards like OWASP and MITRE.Atlas packages these by framework, red-teaming category, or use case - so teams can select relevant requirements, run targeted assessments, and generate the documentation needed to demonstrate compliance alignment.

Can LatticeFlow AI evaluate risks in agentic AI systems?

Yes. Agentic AI systems - where agents make decisions, call tools, and trigger real-world actions - introduce risks far beyond traditional GenAI. LatticeFlow AI is purpose-built to evaluate agentic workflows, assessing security controls, tool access permissions, reliability, and compliance risk across multi-step agent behaviors so teams can deploy agents confidently.

What AI risks can LatticeFlow AI detect and monitor?

LatticeFlow AI covers the full spectrum of AI risk - from security vulnerabilities and adversarial exploits to hallucinations, bias, data leakage, and compliance gaps. It scans for known threats using frameworks like OWASP and MITRE, generates app-specific adversarial inputs to stress-test your system, and continuously monitors production behavior to catch emerging risks before they escalate.

How quickly can teams get started with responsible AI governance?

Teams can be operational in days rather than quarters. The platform provides pre-built evaluation suites, customizable frameworks, and security vulnerability scans out of the box. An integrated AI agent (lf-agent) further accelerates the process by automatically selecting evaluators, running assessments, interpreting results, and generating reports from natural-language instructions.

Turn AI Risk into AI Advantage

See the LatticeFlow AI Platform in Action

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