Identiverse – Arkose Labs, the leader in agent trust, today announced the launch of Arkose Agent Trust Manager. It arrives just as enterprises face an unprecedented surge in AI-driven traffic that existing bot and fraud defenses cannot handle. A critical addition to its Arkose Titan™ platform, Agent Trust Manager recognizes whether agentic traffic represents a customer, an authorized agent or an adversary to determine whether they should be trusted, challenged or stopped. Companies including Meta, Adobe and Expedia already work with Arkose Labs to protect high-value customer journeys against both traditional and agentic threats. It prevents attackers from slipping through while ensuring both human and agentic customers can quickly and easily transact online.
“Among our customer base, we are already seeing agentic traffic double quarter-over-quarter,” said Kevin Gosschalk, founder and CEO of Arkose Labs, “The companies that successfully combat them won’t be the ones that simply define an agent control policy. It will take real time, automatic enforcement of those policies without a human ever having to get involved. This enforcement gap is exactly what Arkose Agent Trust Manager closes.”
Agent Trust Manager runs on top of the device intelligence, behavioral biometrics and adaptive challenge telemetry already embedded in Arkose Titan. This telemetry reveals the scale of the impersonation problem: 74% of adversarial sessions spoof browser values and 69% fake macOS environments, making behavioral and device-level analysis essential to accurate classification.
Arkose Labs’ approach is that intent is not inferred from identity, but determined by behavior. Agent Trust Manager provides the trust classification, enforcement and control layer that runs on top of Arkose Titan’s existing threat signal stack, including ACTIR threat intelligence. It is positioned where legitimate users, authorized business agents, ambiguous scrapers and malicious adversaries all arrive at the same flow.
Not Bot or Human. Three Distinct Populations, Each Requiring a Different Response
Agent Trust Manager operates on a three-population framework that reflects the reality of today’s traffic composition.
- Self-Disclosing Good Agents: Verified crawlers, partner integrations and cooperating platforms that publish IP ranges and sign HTTP headers. Identified through disclosure standards and cryptographic verification.
- Non-Disclosing Good Agents: Legitimate AI assistants including Claude computer use, ChatGPT agent mode and agentic browsers that operate on behalf of real users but offer no self-disclosure.
- Malicious Adversaries: Account takeover campaigns, fake account factories, payment fraud operations and coordinated swarms. Cloud-hosted at scale, almost always impersonating legitimate browser environments via residential proxies
Agent Trust Manager Focuses on Classification, Enforcement and Control
Agent Trust Manager relies on a combination of device intelligence, behavioral biometrics, and adaptive challenge telemetry to determine how traffic should be classified and enforced. The complete loop preserves the experience for legitimate users.
- Classify: Multi-signal evaluation resolves every session into one of four classes including human, self-disclosing good agent, non-disclosing good agent, or malicious adversary. The intent detection runs on top. It features an array of agentic AI detections to cover the full spectrum of agent traffic across five detection layers.
- Enforce: A five-step enforcement spectrum including Allow, Monitor, Challenge, Throttle and Block that matches each session to the proportional response, minimizing friction for legitimate users while raising cost for adversaries. Proof of Work and AI-resistant challenges apply economic deterrence on the same surface where classification occurs.
- Control Customer-defined policy by endpoint, by population and by use case. Continuous intent integrity monitoring re-classifies sessions when behavior drifts from declared scope, automatically escalating enforcement when an agent authorized for one activity begins probing restricted flows.
Unlike fragmented point solutions, Arkose Titan provides defense-in-depth through intelligent detection and adaptive mitigation against both traditional and emerging AI threats, including agentic AI. By defending a company’s entire digital experience and customer journey, Arkose Titan makes attacks economically unsustainable for perpetrators. It helps companies build their businesses uninterrupted and avoid fraudulent account chargebacks and customer reacquisition costs.
About Arkose Labs
Arkose Labs is the global leader in agent trust and control and helps companies identify whether a site visitor is a customer, AI agent or adversary. Arkose Titan, its unified platform, provides controls over how they are trusted, challenged or stopped accordingly. In an era when AI agents are changing the economics of online fraud, Arkose Labs protects against persistent, massive scale AI-fueled abuse rather than just isolated, bot-driven attacks. Trusted for over 10 years by global financial services, technology, and travel companies including Anthropic, Meta, Roblox and Expedia, the company has been named to the Deloitte Technology Fast 500 for five consecutive years. Arkose Labs backs the Arkose Titan platform with the industry’s only $1 million warranty program. The company is headquartered in San Mateo, California, and has research teams around the globe.
View source version on businesswire.com: https://www.businesswire.com/news/home/20260616225661/en/
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