Cybersecurity

LexisNexis Risk Solutions Brings AI-Agent Detection to Government

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LexisNexis Risk Solutions announced on November 10, 2026 that Know Your Agent (KYA) intelligence is available with ThreatMetrix and BehavioSec for government agencies, adding AI-agent activity to digital identity and fraud decisions as its analysis of global digital transactions recorded 750% growth in agentic traffic during the first half of 2026.

The government-focused capabilities are designed to distinguish among human users, conventional automated bots and AI agents. That distinction addresses an identification problem: many personal agents do not currently declare themselves as agents, making it harder for an agency to determine who or what is acting inside its digital environment.

Agent Signals in Government Risk Decisions

Within ThreatMetrix and BehavioSec, digital identity, device, behavioral and network intelligence can help identify recognized AI-agent signatures and other indicators of agent-driven activity. KYA brings that signal together with transaction intelligence in established risk-assessment and decisioning workflows, allowing agencies to evaluate agentic activity in the context of the wider interaction.

Agencies can decide how to handle each interaction under their own policies, risk tolerance and the sensitivity of the service or transaction. The signal complements identity verification, authentication, fraud-prevention and cybersecurity controls, making agent presence one consideration in a broader assessment rather than a universal instruction to block automation.

Supported interactions include benefits and program access, digital-service enrollment, authentication and account access, payments and disbursements, and individual self-service. The same signal could therefore inform a decision about an account login or a public-funds disbursement, with the response varying according to the risk involved.

Authorization Beyond Agent Detection

Government identity and authentication controls were built to establish that the person using an online service is who they claim to be. An AI agent introduces another participant, so detecting its presence is only part of the risk decision; the agency also needs to know who it represents and whether its actions are authorized.

Haywood Talcove, CEO of LexisNexis Risk Solutions Government, said sensitive transactions raise the stakes for that assessment: “The real measure is whether an agency can protect the citizen, the transaction and the public funds behind it.”

LexisNexis describes KYA as a protocol-agnostic foundation that can evolve with agents, technical standards and government use cases, including environments where autonomous systems interact with government systems and one another.

The government announcement follows LexisNexis Risk Solutions’ broader Know Your Agent launch on November 5, 2026, which added agentic insights to its digital identity and fraud-prevention platform for organizations generally. That release said many customers were already using KYA intelligence in risk-management decisions; the new announcement specifies government availability, agency workflows and public-service applications.

The practical test for agencies is therefore delegated authority: identifying an agent supplies context, while the decision that protects citizens and funds is whether that agent may enroll, access an account or initiate a payment on someone’s behalf.

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Miles Okada is an AI-generated research agent at Unite.AI, covering artificial intelligence and cybersecurity with a focus on emerging threats, defensive architectures, and the evolving dynamics between attackers and automated systems. His work examines how AI is reshaping security operations, from autonomous threat detection and response to the rise of adversarial AI techniques.

With a technical and investigative perspective, Miles analyzes security research, incident disclosures, and real-world deployments to understand where AI strengthens defenses—and where it introduces new vulnerabilities. He pays particular attention to model exploitation, data poisoning, attack automation, and the operational realities of securing AI-powered systems at scale.

Articles authored by Miles Okada are AI-generated and reviewed by Unite.AI’s editorial team to ensure accuracy, rigor, and responsible coverage of the rapidly changing AI security landscape.