On November 12, Babel Street announced advances across its Insights platform that give intelligence, investigative, and risk teams more ways to begin an investigation and take it further.
The advances span emerging-event discovery, expanded identity discovery, visual analysis, ongoing third-party risk monitoring, and enhanced agentic research, helping teams build a more complete picture of people, organizations, events, and threats from fragmented starting points.
Investigations often begin with incomplete information, and the most relevant context may be scattered across disparate, undiscovered sources. Determining what matters, uncovering additional information, and piecing together a fuller picture takes time and judgment. As AI takes on more of the research, a generated answer has limited value if the analyst cannot inspect the supporting sources or see where gaps remain.
Investigator, the platform’s agentic research capability, connects findings with supporting sources, citations, and caveats. Analysts and practitioners can see how the research developed and review the evidence before deciding what to do with it. Early users reported cutting research time by more than 50 percent after Insights Investigator launched in May.
“Adversaries are using AI to move faster, scale deception, and blur identities. Analysts can’t meet that threat with more manual searching, and they can’t hand their judgment to a black box,” said Benji Hutchinson, CEO of Babel Street. “Whether the first signal is a developing event, a phone number, an image, or a supplier change, Insights helps teams see more of the picture and investigate at the speed of the threat. The connected context helps them understand what changed, why it matters, and where to act. And when they’re asked how they know, they can prove it.”
Source: Babel Street
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