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ThreatAware launches Dimension for governed security apps

Original title: ThreatAware brings governance to AI-built security applications

Help Net Securityby Industry News ()3 min read
AI summary · x-ai/grok-4.7Summaries by Vani AI

Cited research says 77% of security teams used AI coding assistants to build internal tools in the past year.

ThreatAware launched Dimension, a workspace for building, running, and governing custom security applications with hosting, access control, approvals, and audit already included. Applications can be created with AI Composer, an AI coding agent such as Claude Code via MCP, or the App Library, and actions on live systems must be approved and logged. ThreatAware-cited research says in-house AI-built security tools are common while formal review often lags.

Unconfirmed: The usage and governance percentages are from ThreatAware-cited research; methodology is not described.

Key facts
  • 77% said teams used AI coding assistants for internal tools in 12 months.
  • 45% said self-built tools skip the usual software review process.
  • 41% reported no formal policy, or no enforcement, for AI-built internal apps.
  • 69% said tools were delayed or scrapped over governance concerns.
  • Data, Studio, and Actions connect sources, building, and approved changes.
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From the original article

3 min read at helpnetsecurity.com

ThreatAware has announced the launch of Dimension, its governed workspace that provides organisations with a foundation for building, running and managing their own customised security applications. Dimension gives security teams the flexibility to develop applications tailored to their needs, while providing organisations with greater oversight of how those applications access data and interact with live systems.

Help Net Security

By Industry News · helpnetsecurity.com

Read the full article at Help Net Security

A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.