Darktrace / SECURE AI

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

Secure AI from build to runtime

Darktrace extends behavioral understanding across the AI lifecycle, from employee use of generative AI and AI application development to cloud-hosted models and autonomous agents operating in production. Across environments including Amazon Bedrock and Amazon SageMaker, security teams can maintain context as AI moves from development into runtime.

Powered by Adaptive AI, Darktrace continuously evaluates AI activity in the context of the organization to identify anomalous behavior, emerging risk, and activity that falls outside expected business behavior.

Understand how models are being used

For organizations using Amazon Bedrock, Darktrace provides visibility into model invocation activity across foundation models available through the service, including Amazon Nova and Anthropic Claude.

Darktrace analyzes prompts, sessions, model responses, and surrounding behavioral context to help identify unusual prompt activity, sensitive data exposure, manipulation attempts, malicious chaining, and other behavior that deviates from expected use.

See what AI agents can access and do

Darktrace discovers active AI agent identities and continuously evaluates how agents behave.

It maps agent interactions across users, applications, tools, Model Context Protocol, enterprise data, and AWS services such as Amazon S3. This helps security teams understand what agents can access, how that access is being used, and when agent behavior becomes unexpected, excessive, or inconsistent with its intended purpose.

Connect development risk with runtime behavior

Darktrace helps security teams understand AI identities, permissions, data access, dependencies, and development activity across cloud-hosted AI environments.

This enables teams to identify risks such as excessive permissions, unusual development activity, and misconfigurations while maintaining visibility into how those same AI applications and agents behave once deployed.

Discover Shadow AI

Darktrace identifies unapproved AI tools, unauthorized agent development, and unexpected AI activity across the enterprise.

Security teams can understand where unmanaged AI usage is emerging, how users and applications are interacting with external AI services, and where those interactions may introduce data, security, or business risk.

Apply policy to actual AI activity

Darktrace enables organizations to evaluate observed prompts and AI interactions against organizational AI policies.

This helps security teams identify potential policy violations and understand whether approved AI services are being used in ways that align with business expectations.

Correlate AI risk across the wider enterprise

Darktrace connects AI activity with the surrounding context of users, identities, applications, data, cloud resources, and enterprise systems.

Rather than evaluating individual AI events in isolation, Adaptive AI identifies subtle behavioral changes and emerging risks that predefined rules, static controls, or known attack patterns may not capture.

Darktrace / SECURE AI is delivered as SaaS on AWS and brings together AI telemetry with organization-specific behavioral understanding.

AWS provides the cloud services, foundation models, development environments, infrastructure, and native controls organizations use to build and operate AI. Darktrace adds continuous behavioral understanding of how that AI actually behaves as it interacts with users, identities, applications, data, tools, and infrastructure.

The result is greater visibility across the AI lifecycle, faster understanding of emerging risk, and greater confidence to securely build, deploy, and scale AI on AWS.