Visualization of Babel Street’s Insights Investigator platform supporting AI-assisted intelligence analysis and investigative workflows.
Babel Street’s Insights Investigator platform uses analyst-controlled AI agents to automate intelligence investigations, entity analysis, and multi-step research workflows. Image: Babel Street

Defense and intelligence analysts may soon be able to conduct AI-assisted investigations using analyst-controlled AI agents under a new agentic risk intelligence platform launched by Babel Street.

The platform, called Insights Investigator, is part of the company’s broader Insights ecosystem and targets intelligence, defense, government, and enterprise teams handling complex analytical workloads.

Insights Investigator deploys AI agents trained in investigative tradecraft to automate data collection, entity analysis, and multi-step research processes.

The system is built around human oversight, with transparent reasoning, auditability, and analyst-controlled decision points intended for regulated and high-stakes operational environments.

The launch comes as defense and intelligence organizations face rising pressure from adversaries using AI to scale cyber operations, disinformation campaigns, and influence activities.

“Adversaries are already running AI-powered campaigns at a scale no manual workflow can match,” said Babel chief executive Benji Hutchinson.

“The organizations we serve must keep pace, and the best analysts in the world should not be spending their time chasing data.”

AI Escalation

According to the company, state and non-state actors are increasingly using AI to accelerate disinformation efforts, generate synthetic identities, probe supply chains, and conduct influence operations at scale.

Company executives argue that organizations relying on traditional investigative processes risk falling behind opponents already adopting AI-driven automation.

In a separate March announcement, Babel outlined its “AI-as-a-Worker” approach, saying it is intended to allow analysts to orchestrate AI agents across multi-step intelligence workflows while maintaining oversight and traceability.

The company is also developing agent-to-agent interoperability features, allowing external AI systems to connect with its platform, enrich investigations, resolve identities, and surface intelligence signals.

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