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Highlights
Darktrace has launched a new product designed to give enterprises visibility into how AI tools are used across their organisations.
The launch responds to widespread concern among security professionals about unmonitored or shadow AI tool usage.
The move reinforces the cybersecurity angle within the broader UK artificial intelligence investment theme.
Tackling The Shadow AI Problem
Darktrace has introduced a new behavioural security offering designed to give enterprises oversight of artificial intelligence adoption across their organisations. The launch comes as security teams increasingly grapple with employees using AI tools that fall outside sanctioned corporate systems, often referred to as shadow AI, creating blind spots around sensitive data exposure.
Why Enterprises Are Worried
Survey data cited alongside the launch found that a large majority of organisations already use generative AI tools in some form, yet many also have employees relying on additional, unsanctioned AI services alongside officially approved platforms. That gap has left security teams without a clear view of which AI tools are active across their networks, where data is flowing and how it is being processed.
Concerns cited by cybersecurity professionals centre on the risk that AI agents and third-party generative tools could expose sensitive data or create regulatory compliance gaps, particularly as AI usage spreads beyond IT-sanctioned deployments.
Behavioural Monitoring As A Differentiator
Rather than simply blocking access to AI tools, the new offering is built around observing how AI systems behave, interact with other systems and evolve over time, an approach consistent with Darktrace's broader behavioural analytics heritage in network security. This positions the company to address a growing category of enterprise risk tied specifically to the proliferation of AI agents and generative tools within corporate environments.
Part Of A Wider UK AI Narrative
The launch adds to a broader theme playing out across UK-linked technology and software names, where enterprise AI adoption is increasingly filtering into cybersecurity, data infrastructure and analytics businesses. As companies race to deploy generative AI internally, demand for tools that provide oversight and governance is emerging as a distinct growth avenue within the sector.
