Babel Street has unveiled its 2026 strategic roadmap, introducing a shift towards Agentic Risk Intelligence.
This development follows significant leadership expansion and rapid market evolution, positioning the company at the forefront of an intent-driven AI system designed to execute complex intelligence workflows grounded in evidence and human judgement.
Transforming global intelligence
The transition reflects a significant change in global intelligence as traditional models struggle against the rise of synthetic media and automated deception. "The age of static risk intelligence is over. The future belongs to organisations that can see what others cannot and act before a risk becomes a reality," stated Benji Hutchinson, CEO of Babel Street.
The company's deployment of agentic AI aims to enhance the efficiency and reliability of intelligence operations, empowering analysts to uncover hidden connections rapidly with evidence-backed conclusions.
AI-as-a-worker strategy
Central to Babel Street's initiative is its 'AI-as-a-Worker' strategy, enabling analysts to direct AI agents through multi-step intelligence processes at machine speed.
This approach allows the system to process large datasets, identify risks, and compile intelligence while analysts retain full oversight. Each result is supported by citations and source verification, ensuring the findings are reliable for critical decision-making.
Leveraging Data Dominance™
Babel Street aims for risk intelligence to be scalable and actionableAt the core of Babel Street's capabilities lies Data Dominance™, which transforms extensive public data into useful insights. This feature helps both analysts and AI uncover complex networks within fragmented data, addressing the shortcomings of existing platforms that John Larson, President and Chief AI Officer, highlights: “AI falls short today not because it lacks sophistication, but because it is fueled by data that lacks context.”
By uniting Data Dominance with agentic capabilities, Babel Street aims for risk intelligence to be scalable and actionable at any moment.
Innovative AI systems and interoperability
As organisations implement AI systems, Babel Street is pioneering the next phase of intelligence automation with Agent-to-Agent interoperability. This innovation will allow interaction with Babel Street’s platform to enrich investigations and strengthen intelligence capabilities.
Starting this Spring, Babel Street's agentic workflows will become available, enabling analysts to assign tasks such as research and signal analysis directly to AI, which will return results with verifiable evidence and transparency. These workflows are crucial for missions requiring swift and accurate conclusions.
Growing organisational momentum
Heading into 2026, Babel Street continues to strengthen its platform for agentic risk intelligence. The company’s recent recognition by the Northern Virginia Technology Council's 2025 Tech100 and accolades for CEO Benji Hutchinson as a top industry executive underscore its growing influence.
Further enhancing its leadership, Babel Street appointed John W. Larson as President and Chief AI Officer, Rob Lalumondier as Chief Revenue Officer, and gained insights from CIA Chief Operating Officer Maura Burns as a strategic advisor.
Babel Street, a global pioneer in mission-grade risk intelligence, announced its strategic roadmap for 2026, marking a decisive shift toward Agentic Risk Intelligence.
Following a year of leadership expansion and rapid market evolution, the company is advancing the industry toward an intent-driven system where AI agents execute complex intelligence workflows while remaining grounded in verifiable evidence and human judgement.
Changing global intelligence
“The age of static risk intelligence is over. The future belongs to organisations that can see what others cannot and act before a risk becomes a reality,” said Benji Hutchinson, CEO of Babel Street. “We are deploying agentic AI to fundamentally change the speed, depth, and veracity of global intelligence. Analysts and operators will be empowered to surface hidden connections and produce evidence-backed conclusions at the speed and scale of modern risk.”
The global intelligence landscape is undergoing a fundamental shift. Threat actors are exploiting publicly available information and flooding the environment with synthetic media and automated deception. Traditional investigative platforms and methods cannot keep pace, creating urgent demand for AI systems capable of closing this growing intelligence asymmetry.
AI-as-a-worker
Babel Street’s ‘AI-as-a-Worker’ approach enables analysts to direct AI agents that execute multi-step intelligence workflows at machine speed. While the system traverses massive datasets to extract entities, detect risk, and assemble intelligence, analysts maintain full oversight with complete traceability. Every finding is delivered with clear citations and source provenance, ensuring results can be validated, reproduced, and confidently used for high-stakes decision-making.
Data Dominance™
Babel Street’s advantage begins with Data Dominance™, the company’s long-standing ability to transform vast amounts of publicly available information into contextual intelligence. This foundation enables connected intelligence that helps analysts and AI agents uncover hidden relationships and networks across fragmented data sources.
“AI falls short today not because it lacks sophistication, but because it is fueled by data that lacks context,” said John Larson, President and Chief AI Officer at Babel Street. “Most platforms operate with blind spots, relying on narrow datasets that create false confidence. Babel Street is the only platform combining Data Dominance with agentic capabilities. Risk intelligence must be continuous, infinitely scalable, and instantly actionable. Babel Street is charting an aggressive course towards fulfilling this vision in 2026.”
AI systems
As organisations deploy their own AI systems, Babel Street is also enabling the next phase of intelligence automation through Agent-to-Agent interoperability. The capability will allow AI systems to securely interact with Babel Street’s platform to enrich investigations, resolve identities, and surface intelligence signals with Data Dominance.
Beginning this Spring, the company will make the first of its agentic workflows generally available, empowering analysts to assign research, entity discovery, and signal analysis tasks directly to the AI. The platform returns structured findings grounded in verifiable evidence with transparent citations and source provenance to ensure trust, auditability, and mission alignment. These workflows support critical missions such as vendor vetting, identity investigations, and global threat intelligence, where speed, accuracy, and evidence-backed conclusions are essential.
Organisational momentum
Babel Street enters 2026 with strong organisational momentum, fortifying its position as the definitive platform for agentic risk intelligence. The company was recently named to the Northern Virginia Technology Council 2025 Tech100, and CEO Benji Hutchinson honored as a "Top Industry Exec to Watch in 2026."
Babel Street also expanded its leadership team with appointments of John W. Larson as President and Chief AI Officer and Rob Lalumondier as Chief Revenue Officer, and welcomed CIA Chief Operating Officer Maura Burns as a strategic advisor.
