Darktrace announces Secure AI, brings behavioral security to enterprise AI
Darktrace announced the general availability of Darktrace / SECURE AI, extending its self-learning, behavioral approach to AI systems, agents, development environments and shadow AI. Please find the press releasehere, and screenshots of the product attached.
Key details include:
Shadow AI Management: Identifies unsanctioned AI activity through Darktrace telemetry and SASE integrations, including Microsoft Entra Global Secure. Security teams can distinguish unauthorized tools from approved services, address blind spots and refine policies that reduce risk.
AI Prompt Analysis: Monitors prompts, sessions and responses across supported platforms in real time. It detects attempted jailbreaks, sensitive data exposure and potential indirect prompt injection, then ranks sessions by risk so analysts can focus investigations.
Policy Management: Allows security teams to upload free-form, organization-specific policies, assess how well those controls work and refine governance beyond standard frameworks.
AI Agent Identities and Actions: Connects AI activity to agents and human users across supported environments, with visibility into identities, permissions, roles, access and relationships.
AI Agent Development Risk Management: Extends monitoring across low-code and high-code development platforms to identify agent identities, excessive permissions, misconfigurations and anomalous activity. It also connects how agents are built with how they behave after deployment.
During one 28-day period, Darktrace also identified 2,945 instances of sensitive data entered into AI prompts across roughly 28,000 users, with more than 70% involving credentials, passwords or API keys.
This entry was posted on September 22, 2026 at 4:15 pm and is filed under Commentary with tags Darktrace. You can follow any responses to this entry through the RSS 2.0 feed.
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Darktrace announces Secure AI, brings behavioral security to enterprise AI
Darktrace announced the general availability of Darktrace / SECURE AI, extending its self-learning, behavioral approach to AI systems, agents, development environments and shadow AI. Please find the press release here, and screenshots of the product attached.
Key details include:
During one 28-day period, Darktrace also identified 2,945 instances of sensitive data entered into AI prompts across roughly 28,000 users, with more than 70% involving credentials, passwords or API keys.
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This entry was posted on September 22, 2026 at 4:15 pm and is filed under Commentary with tags Darktrace. You can follow any responses to this entry through the RSS 2.0 feed. You can leave a response, or trackback from your own site.