HUMAN Sightline Cyberfraud Defense stops fraud, abuse, and misuse by humans, bots, and AI agents, while enabling trusted interactions across the full customer journey. Protect your users, user sessions, and accounts with cyberfraud defenses and agentic AI governance.
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 legitimate consumers and fraudsters alike. In this environment, the answer isn’t to simply improve bot detection. Organizations need complete visibility into traffic behavior in order to enable legitimate visitors, authorized bots, and trusted AI agents to interact with applications on their terms.
That’s why we built HUMAN Sightline.
According to Gartner, forward-looking organizations are merging tools and processes used by cybersecurity and fraud teams in order to combat online security incidents and fraud.1 With HUMAN Sightline, we’re delivering exactly that: a unified approach to cyberfraud protection that provides complete visibility into traffic behavior, enables trusted interactions, and safely facilitates agentic AI commerce.
The Next Generation of Bot and Fraud Management
Combating today’s threats isn’t about refining yesterday’s bot management; it’s about elevating your entire defense strategy. Fraudsters use automated bots, AI-enabled tactics, and manual human actions to commit account takeover, scraping, carding, fake account abuse, and more. Organizations need holistic capabilities to proactively neutralize compromised credentials, mitigate human-led fraud, and control traffic from LLM scrapers and AI agents, in addition to advanced bot management.
HUMAN Sightline meets these demands with multi-method detection across the entire customer journey—differentiating good from bad bots, risky from legitimate AI, and fraudulent from authentic human behavior, and managing each appropriately. This is complemented by advanced capabilities that give customers complete visibility and control over AI agents, including monitoring AI agent activity and intent, enabling legitimate AI agents to take action and make purchases on behalf of consumers, and preventing AI agents from taking unintended or untrusted actions.
HUMAN Sightline provides adaptive trust and defense-in-depth in a single solution. Instead of piecing together multiple single-method security solutions that focus on individual requests at disparate interaction points (like login or checkout), HUMAN Sightline delivers layered protection to detect and mitigate bot attacks, human-led fraud, and AI-driven risks.
Key Capabilities
High-fidelity fraud-or-not decisioning is at the core of HUMAN Sightline — but the decision itself is just the beginning. The strength of your defenses is defined by the actions you take after the initial detection event, including managing, mitigating, and investigating threats. Here are some examples of how HUMAN Sightline helps.
Management of LLM Scrapers, Good Bots, and AI Agents
The HUMAN console enables full visibility into known bots, crawlers, and LLM scrapers, including the paths they are visiting, the actions they are taking, and how they are interacting with your application. The system flags any new activity from known bots and LLM scrapers and monitors behavior over time. Customers can choose whether to block, allow, or monetize scraping traffic, as well as suppress ads, show alternative content, or set up other custom responses.
HUMAN provides complete visibility into traffic from AI agents and good bots, with the option to block, allow, or monetize scraping traffic.
Getting complete visibility and control over AI agents’ activity is critical to safely enable agentic commerce. Our AgenticTrust solution helps security teams understand each agent’s intent and evaluate whether or not it should be trusted. Customers can put guardrails around AI agents, preventing them from taking unauthorized actions while allowing authentic and well-intentioned actions. In addition, HUMAN has open-sourced the HUMAN Verified AI Agent to showcase how verified agents could seamlessly interact with an application, while unverified agents would be blocked.
Customers can drill into agentic AI activity on their application, including the paths they are visiting, actions they are taking, and AI-generated insights.
Scenario-optimized Mitigation Strategies
HUMAN Sightline offers a range of mitigation responses that align with your unique friction tolerance and desired outcome in each scenario. There are three types:
- Soft mitigation. Mitigation that is meant to de-risk a potential threat, usually by gathering more information, like checking IDs at the door, in order to de-risk the threat of an underage person entering a venue. In our case, examples include multifactor authentication, Human Challenge, and Precheck.
The goal: To reduce the overall friction on good users by de-risking threats without hard-blocking.
- Direct Mitigation. Mitigation is meant to intervene and stop users from completing their intended action, such as hard blocking a request or freezing an account. Outside of the cybersecurity world, this could be identifying a criminal and kicking them out of an event before they are able to commit a crime there.
The goal: To stop cybercriminals from executing attacks and committing fraud.
- Indirect Mitigation. Mitigation that is meant to indirectly mitigate the risk and obfuscate the decision from very sophisticated attackers. This could be cancelling fraudulent orders, suppressing ads, or rate-limiting traffic. Some non-cybersecurity examples are marked bills or ink tags on clothing in department stores.
The goal: To subvert the attack in a way that has minimal business impact on your good users and keep cybercriminals in the dark about how they were detected, so they cannot use feedback signals to adapt, pivot, and refine their attacks.
In addition to the above strategies, customers can set up custom policies to trigger internal workflows (e.g., to create a Jira ticket, data export) or take actions with other systems (e.g., email, Auth0).
Secondary Detection and Investigative Intelligence
HUMAN Sightline’s secondary detection engine analyzes historical and live telemetry in aggregate to identify large-scale fraud networks and isolate traffic into distinct attacker profiles based on shared characteristics and actions. Analysts can pinpoint exact attack paths, capabilities, and request characteristics (IPs, ASNs, devices, etc.), as well as uncover networks of compromised and fake accounts being used to commit fraud. This helps security teams understand their threat narrative, cut investigation time, and share meaningful insights with fraud stakeholders.
Threat Tracker isolates the distinct bot profiles that make up your automated traffic and tracks their specific behavior over time.
Attacker profiles and behavior surfaced in the Threat Tracker dashboard, which provides detailed clarity into each attacker’s behavior and reveals low-and-slow campaigns that never trigger volume alarms. Organizations can track how attackers evolve, automatically optimize mitigations based on attacker-specific signals, and accelerate investigations.
Extensibility and Explainability
You are the expert on your application. HUMAN is the expert on security and fraud. When our detection models work in tandem with your data, fraudsters don’t stand a chance. Customers can feed their first-party data into custom fraud models to tailor HUMAN Sightline toward their specific business goals.
By breaking down data silos between external vendors as well as internal security and fraud teams, HUMAN Sightline enables faster, more coordinated responses to evolving threats. Layered AI models continuously learn from each decision and automatically react to specific threat adaptations. Security teams are presented with clear explanations, context, and business signals for each detection and mitigation event, allowing you to optimize business impact.
Optimize Your Business Goals
Customers can easily see HUMAN’s impact on visitor sessions, user friction, and conversion rate and optimize detection measures to achieve business goals.
The purpose of cybersecurity isn’t stopping attacks for the sake of it; it’s minimizing incidents and fraud with the purpose of enabling legitimate customer interactions and generating positive business outcomes. We developed HUMAN Sightline with that goal in mind.
HUMAN Sightline provides direct visibility into the metrics that matter to your organization. The solution provides business context for detection and mitigation events, clearly showing protected sessions, level of friction experienced by each user, and conversion rate. This allows analysts to measure the impact of security measures on their bottom line and optimize friction accordingly.
It’s Time to Expect More from Your Cyberfraud Defenses
At HUMAN, we will never stop optimizing and enhancing our bot detection and mitigation capabilities — but that’s just the beginning. We know that you can’t beat new threats by solely improving old tools; you beat them by going beyond. In order to preserve user trust, provide an uninterrupted user experience, and protect revenue, organizations must move past fragmented patchwork defenses. Security teams can and should expect more. HUMAN Sightline delivers on this expectation.
Ready to move beyond detection? Let’s talk.
1Gartner, Emerging Tech: The Future of Online Fraud Prevention, 30 January 2025
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