NOMINATION HIGHLIGHTS

As AI-fueled threats have accelerated at an unprecedented pace, HUMAN has evolved just as quickly with the execution of its HUMAN Sightline solution. Traditional bot management is no longer enough. It’s reactive, fragmented, and narrowly focused: built to block bots at login or checkout, not to understand how fraud works across the entire customer journey. As a result, organizations must rely on a patchwork of tools that treat bots, AI agents, and fraudulent human activity as separate problems. But fraudsters don’t work in silos.

Agentic AI and other emerging technologies are accelerating the pace of attackers, lowering the barrier to entry for fraud, and opening the door to new risks. At the same time, humans, bots, and AI agents are increasingly acting on behalf of both legitimate consumers and fraudsters. In this environment, the answer isn’t to simply improve bot detection. Organizations need complete visibility into traffic behavior to enable legitimate visitors, authorized bots, and trusted AI agents to interact with applications on their terms.

That’s why we built HUMAN Sightline featuring AgenticTrust, which offers a unified approach to cyberfraud protection that provides complete visibility into traffic behavior, enables trusted interactions, and safely facilitates agentic AI commerce. It uses adaptive learning AI models to spot nuanced bot behavior shifts as they happen and automatically optimize mitigation workflows based on evolving bot characteristics. This enables security teams to understand the pattern and scale of attacks, respond faster to unique threats, and adapt strategies to combat the specific bots attacking their applications.

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:

– 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.

To accelerate the adoption of verifiable agent traffic, HUMAN has open-sourced the HUMAN Verified AI Agent, a digital agent showcase that utilizes HTTP Message Signatures and public-key cryptography to authenticate agent activity across the web.