Darktrace announced the general availability of Darktrace / SECURE AI, giving enterprises the visibility, contextual understanding, governance and response capabilities needed to securely scale AI adoption. The solution is designed to deploy easily and rapidly, and enables organizations to discover AI use, understand how people and agents are behaving in real time, assess whether activity remains aligned with policy and intended purpose, and take action when risks emerge.
Enterprise AI adoption is now both widespread and fragmented. Over 80% of Darktrace’s customers now use generative AI services, and the average organization interacted with five different AI providers in August 2026.
Early adopter deployments showed how quickly AI activity moves beyond what security teams expect, across tools, users and business use cases.
As AI agents gain access to identities, data, applications and infrastructure, the challenge goes beyond uncovering AI use: security teams also need to know whether that behavior remains aligned with policy, intended purpose, and the normal operating pattern of the organization.
Darktrace was built for this shift. Its proprietary Adaptive AI learns what is normal for each organization and continuously evaluates behavior in that unique context, allowing security teams to detect emerging risk even when the activity has never been seen before. Darktrace / SECURE AI extends this behavioral approach to prompts, users, agents and AI systems, combining real-time visibility, policy governance and the ability to act when risk emerges so enterprises can move AI from experimentation to production securely and with confidence.
Behavioral Defense for Enterprise AI Adoption
Darktrace / SECURE AI gives security teams a broad, integrated approach to the safe adoption of enterprise AI:
- Shadow AI Management: Identifies unsanctioned AI activity through Darktrace telemetry and SASE integrations including Microsoft Entra Global Secure Access with the ability to block unsanctioned AI usage or quarantine affected devices. It helps customers distinguish unauthorized usage from approved usage, eliminate blind spots, and improve policy to reduce data exposure and risk.
- AI Prompt Analysis: Provides real-time visibility into prompts, sessions and responses across supported platforms, including Amazon Bedrock, ChatGPT Enterprise, Claude, Microsoft Copilot, Copilot Studio, with Salesforce support coming soon. It detects activity including attempted jailbreaks, sensitive data exposure and potential indirect prompt injection, while ranking sessions by risk to help analysts prioritize investigation.
- Policy Management: Provides a free-form policy upload capability, which enables security teams to define organization-specific controls, evaluate policy effectiveness, and continuously refine governance beyond standard frameworks. When uploading a policy, administrators can review the enterprise policy against regulatory and compliance frameworks to help users track alignment.
- AI Agent Identities and Actions: Identifies agents and human users associated with AI activity across supported environments, providing visibility into their permissions, roles, access and relationships. This helps organizations understand how agents are being used, what they are connected to and whether their activity remains aligned with their intended purpose.
- AI Agent Development Risk Management: Extends visibility into low-code and high-code development environments and platforms, including Amazon Bedrock and Microsoft Copilot Studio. Security teams can identify agent identities, excessive permissions, misconfigurations and anomalous development activity, connecting how agents are built with how they behave once deployed.
Darktrace / SECURE AI is part of the Darktrace Behavioral Defense Platform. Rather than relying primarily on static rules, signatures, or known indicators, the platform learns what is normal for each organization and builds a real-time understanding of behavior across each enterprise. It provides unified visibility, continuous behavioral monitoring, and autonomous response across AI, people, and infrastructure, helping security teams detect suspicious activity and contain it before it causes harm.
“The security industry spent the last twenty years cataloging known threats. AI breaks that model,” said Ed Jennings, President and CEO of Darktrace. “As AI systems become more adaptive and autonomous, security must understand behavior as it unfolds. Darktrace was built around a behavioral approach: you won’t always know what the next attack looks like, but you can tell when something starts behaving differently from what is normal for the organization. Darktrace / SECURE AI applies that same approach to AI, helping security teams manage risk without slowing adoption. That’s what it means to secure what AI can do.”
Advancing Behavioral Security Across the AI Landscape
Darktrace integrates with Amazon Web Services (AWS), Anthropic, Microsoft and OpenAI to help secure the rapid advances reshaping enterprise AI. Through integrations between Darktrace / SECURE AI and the frontier models, agent frameworks, and development environments customers are adopting, these collaborations extend behavioral security across agents, low-code and high-code development, prompts and enterprise AI use.