Darktrace / SECURE AI

Darktrace / SECURE AI helps organizations securely adopt and scale AI by continuously understanding how AI agents, prompts, users, and systems behave across the business.

Powered by Adaptive AI, Darktrace / SECURE AI gives security teams continuous visibility into AI activity so they can identify anomalous behavior, investigate emerging risk, and understand when AI begins to operate outside expected business context. This helps organizations move beyond inventories and static controls to understand not only what AI is allowed to do, but what it is actually doing.

Darktrace extends this behavioral understanding across the AI lifecycle from employee use of GenAI and low-code agent development to cloud-hosted AI architectures and agents operating in production. This gives teams continuous context from build to runtime, rather than treating AI posture and runtime behavior as separate security problems.

With Darktrace / SECURE AI, organizations can:

Understand AI agent behavior in real time - See how agents operate, what they access, and where behavior deviates from expected activity or intent.

Identify risk across prompts and GenAI interactions - Analyze prompts, sessions, and responses to surface prompt-based attacks, sensitive data exposure, malicious chaining, and anomalous activity.

Detect behavioral drift and emerging risk - Use Adaptive AI to identify subtle changes and unknown risks that may not be captured by predefined rules or static controls.

Evaluate AI risk from development to runtime - Identify misconfigurations, excessive permissions, and unusual development activity, then connect that context with how AI behaves once deployed.

Understand AI architecture and dependencies - Map AI assets, permissions, and connections to identify misconfigurations and over-entitlement before production.

Discover Shadow AI across the enterprise - Surface unexpected or unsanctioned AI usage and understand where unmanaged AI activity may introduce data or business risk.

Apply policy to real AI activity - Map organizational AI policies to observed prompt and user activity to identify potential violations and support governance based on how AI is actually being used.

Correlate AI risk across environments - Connect AI activity with wider enterprise context to help security teams investigate and prioritize risk more effectively.

For organizations using Microsoft Copilot, Copilot Studio, and Microsoft Agent 365, Darktrace / SECURE AI complements Microsoft’s identity, governance, compliance, and agent-management capabilities with continuous behavioral insight into AI activity.

Darktrace / SECURE AI provides prompt and session visibility across Microsoft Copilot and visibility into agents created through Microsoft Copilot Studio, helping teams understand intent, access, behavior, and emerging risk as AI moves from user interaction to autonomous action.

Darktrace behavioral risk signals can also be surfaced within Microsoft Agent 365, helping security teams see Darktrace-detected risks alongside Microsoft-native signals, identify anomalous agents more quickly, and gain greater context into agent behavior without disrupting existing workflows.

For AI workloads operating in Azure, Darktrace can extend context beyond the AI application itself. Darktrace’s Microsoft integrations provide behavioral detection and response across Azure IaaS, PaaS, and control-plane activity, while Microsoft Sentinel can ingest Darktrace AI Analyst incidents and model breach alerts for investigation within existing security workflows.

Together, Microsoft and Darktrace provide a layered approach to AI security: Microsoft establishes the controls that govern how AI should operate, while Darktrace continuously evaluates how AI actually behaves as it interacts with users, data, applications, and infrastructure.

The result is greater visibility, faster understanding of emerging risk, and stronger confidence to scale AI adoption across the enterprise.