Risk control for agentic AI

Enabling enterprises to deploy secure AI agents.

Research-backed
RSAC RSAC-recognized
EU Sovereignty
and compliance
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AI security expertise shared with leading organizations

Understand and control how your agents behave

See what data agents access, which actions they take, and which controls are working.

01 Sensitive data tracking
02 Tool security posture
03 Anomalous agentic behavior
04 Untrusted data feeds
05 Guardrail coverage

Detect and respond to agentic AI incidents

Blue41 detects runtime incidents such as anomalous behavior resulting from prompt injection attacks and unauthorized agent activity.

Timestamp AI agent Severity Incident Risk context
22:38:41 Customer AI assistant Medium Anomalous tool call Write access Lax schema
23:06:15 Employee AI agent Critical Data exfiltration Untrusted input PII
23:56:08 Customer AI assistant High Elevated guardrail triggers Shared auth

Your partner for AI risk control

Blue41 helps enterprises navigate the rapidly evolving risk landscape around AI agents.

01

Runtime risk platform

Risk monitoring of AI agents in production. Detect security incidents and compliance violations in real time.

02

Deep AI risk expertise

Expert support to understand emerging threats, assess architectures, and define controls for secure and compliant deployments.

03

Close collaboration

Ongoing partnership with your security, AI, and governance teams. From assessments to incident response.

Insights

Expert perspectives and case studies on AI risk from the Blue41 team.

Case study

Featured case study

How we helped a leading European bank secure their financial AI assistant

A single bank transfer created a realistic spearphishing path through a banking AI assistant. The case shows why financial AI agents need visibility into untrusted inputs, workflow context, and behavioral risk.

Read the case study →

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Blue41 helps enterprises assess, monitor, and control AI agent risk.

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