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HUMAN Security’s solution offers actor-level visibility and intent-based control across humans, bots and AI agents and evaluates behavior and context over time, not just identity, to secure every interaction across the customer journey

August 1, 2025 //  by Finnovate

HUMAN Security has launched HUMAN Sightline, a cyberfraud defense solution featuring AgenticTrust. Developed to secure every interaction across the customer journey, HUMAN Sightline preserves legitimate human activity, prevents fraud and scraping, enables trusted automation through intent-based controls and accelerates investigations. With the introduction of AgenticTrust,  the solution extends visibility and control to AI agent activity across consumer-facing surfaces, including every action taken before, during and after login. This helps enterprises embrace and adopt agentic commerce, reduce fraud losses and securely scale engagement and revenue in the AI era. HUMAN Sightline, featuring AgenticTrust, secures the customer journey and unlocks safe, scalable growth with actor-level visibility and intent-based control across humans, bots and AI agents – and delivers: Actor-level visibility into humans, bots and AI agents; Adaptive trust decisioning based on behavior, context and intent over time; Governance tools to enforce policies in real time; Investigative intelligence to uncover networks and attack patterns. Key capabilities include: Agentic visibility and control: Identify AI agent activity, prevent spoofing and enable trusted automation; Adaptive trust decisioning: Evaluate behavior and context, not just identity, to determine trust; Layered detection and learning: Detect evolving threats through multi-model signal analysis; Fraud investigation intelligence: Map attacker behavior and fraud networks across the journey; Govern bots, LLMs, and agents: Block, allow, rate-limit, redirect or monetize based on traffic type and intent; Seamless deployment: Integrates into WAF, CDN, CIAM and fraud infrastructure.

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Category: Cybersecurity, Innovation Topics

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