Control Agentic AI Risk with Verifiable Evidence

Continuously evaluate AI agents against real attack scenarios and generate technical evidence aligned with
AI frameworks, such as OWASP, the EU AI Act, NIST or ISO 42001.

Agentic AI Changes the Risk

AI agents can reason, use tools and take autonomous actions across enterprise systems. As autonomy increases, so does AI risk.

Frameworks like the OWASP Top 10 for Agentic Applications define the risks. But frameworks don't verify AI behavior.

Controlling agentic AI risk requires continuous, technical evidence that your AI agents behave securely in real-world scenarios.

That verification gap is where deployments stall:
  • AI Leads lack visibility into how their agents behave under adversarial pressure.
  • CISOs can hand the board assurances, but not evidence.
AI governance frameworks for agentic AI

From
AI Frameworks
to Evidence

From AI frameworks to technical evidence
AI Atlas
AI Atlas

AI Atlas

Maps OWASP, the EU AI Act, NIST AI RMF, ISO 42001 and other frameworks to technical controls and ready-to-run evaluations.

Fallback
Evaluate

Evaluate

Validate your AI Agent with deep, multi-turn evaluations and design checks that can identify security alongside performance risks.

Don't Just Measure Risk. Prove Control.

Raw scores don't support agentic AI governance. LatticeFlow AI translates evaluation results into actionable, clear insights for risk control and board visibility.
That's the difference between:
Client
"We believe our AI
agents are safe."
"We can prove it."

What Industry Leaders Say

Dr. Sina Wulfmeyer
Unique
"Innovation only scales when it's built on trust. As AI moves into core investment and advisory workflows, we need continuous technical evidence that our systems are reliable, transparent and safe. The LatticeFlow AI platform gives us that evidence, so we can deploy AI with confidence in a highly regulated environment."

- Dr. Sina Wulfmeyer

Chief Data Officer at Unique AI
Accenture representativeAccenture
Accenture
Trust in AI comes from evidence that is current, connected, and defensible, especially for agents, where evidence tracks actions, permissions, and decisions over time.

- Christine Laüt

Associated Director, Responsible AI at Accenture Switzerland

From Pilot to Production

How do you prove an AI agent is safe once it's in production?

That's the challenge the fast-growing fintech Unique AI solved with LatticeFlow AI.
Together, the teams developed the first FINMA-aligned technical blueprint for agentic AI, translating governance requirements into continuous technical assessments and verifiable evidence for regulated financial services.

Unique AI technical blueprint for agentic AI

Turn AI Risk into AI Advantage

See the LatticeFlow AI Platform in Action.