HUMAN BLOGRead time: 6 minutes

Human Sightline: A New Era in Bot Visibility

Alexa Levine

March 18, 2025

Account Takeover, Automated Threats, Bot Mitigation

Human Sightline: A New Era in Bot Visibility

Get a line of sight into the attacks that matter. HUMAN Sightline revolutionizes bot management with AI-driven insights to detect and track specific attackers. The solution isolates your automated traffic into distinct attack profiles so you can uncover in granular detail what each individual attacker is doing on your application. Analysts can see key details for each profile, including its top routes, ASNs, IPs, regions, actions it took, and reasons it was flagged as a bot.

Advanced reporting is critical for bot management

Customers have long asked us to provide advanced anomaly reporting—or, in other words, to mark anomalies that represent distinct attacks. But when we started down that path, we realized that simply labeling spikes would not provide the information that customers really need, such as:

  • What threats are on my site?
  • What are they doing? Where are they going?
  • How are you detecting them? Are you sure it’s correct?
  • How can I use this information to improve my security?
  • What should I look for in my other data? How can I investigate this?
  • What do I tell my stakeholders and/or board?

And in all honesty, organizations don’t need HUMAN to call out traffic spikes; they can do that with their own eyes.

So, we reevaluated the approach. We built a secondary detection engine using purpose-built AI that analyzes all the malicious traffic in aggregate after the initial block or allow decision is made. This engine compares every automated request to every other current and past request in order to construct and track “attack profiles,” groups of requests thought to be from the same attacker based on their characteristics and actions.

Beyond visibility, secondary detection allows HUMAN’s detection to adapt and learn to the attacker’s changing behavior. Now that we can monitor individual profiles over time, the system can react to their specific adaptation, which allows us to continue to track and block the attacker.  The number of signatures used by the system for each profile increases over time, and this information is surfaced in the portal.

Detecting volumetric anomalies isn’t enough

When organizations solely rely on anomalies, the only variable to report on is volume. This leaves analysts to focus on spikes and potentially miss hidden “low and slow” attacks. Security teams can see only high-level bot activity, such as the top paths visited by all bots. Analysts can’t tie specific bots to specific attack paths, forcing them to manually investigate patterns across massive datasets. 

HUMAN Sightline flips traditional attack reporting on its head. The solution displays malicious traffic in terms of the distinct attack profiles that comprise it. Each attack profile is represented by a different color, so analysts can clearly see which requests are part of each attack.

HUMAN Sightline automatically isolates distinct bot profiles and provides data on the distribution of requests, top profiles, and attack types on your application at a given time.

Analysts can drill down into a specific profile to easily understand what each is doing: its size, sophistication, top target routes, why it was flagged as a bot, and what action it was taking to try to evade detection. HUMAN Sightline surfaces details at the profile level rather than in aggregate (e.g., the top routes visited by Bot Profile A at Time X and separately the top routes visited by Bot Profile B at Time X vs. the top paths visited by All Bots at Time X). 

A series of charts show the distribution of profile traffic compared to legitimate human traffic across IPs, ASNs, Target Routes, Regions, Devices & Browsers, and Referrers. This allows teams to see how different traffic is behaving and identify differentiators of certain profiles that would otherwise have remained hidden if looked at for all bot traffic in aggregate.

Secondary detection provides unprecedented bot visibility

HUMAN’s secondary detection models are unique to each customer, tracking the specific profiles (including potential AI agents)  on each application over time. As bots evolve and grow more complex, HUMAN Sightline attaches additional signatures to each profile. Analysts can understand in granular detail what that particular attacker is doing and the specific characteristics that distinguish it from other humans and bots on the application. This ensures a continuous line of sight and continuous protection even as attackers adapt and change tactics. 

The result? Unprecedented insights into bot behavior that revolutionize organizations’ reporting and analysis capabilities. In simpler terms, it enables customers to:

  • Focus and accelerate investigations

Turn hours of exploratory analysis into a quick, focused examination of contextualized data. HUMAN Sightline surfaces distinct bot activities, attack paths, and changing behaviors — like bots targeting specific products or visiting select pages. Security teams can uncover hidden patterns and zero in on key attacks, revolutionizing their investigative capabilities.

  • Transform attack data into an actionable threat narrative

Easily understand your bot attack story and communicate with key stakeholders to showcase your team’s impact. HUMAN Sightline allows teams to present business-level visualizations of bot behavior and show the effect of their actions over time. This empowers security teams to lead with data-backed authority, bridging the gap between deep technical analysis and business actions.

  • Optimize your security strategy for your unique threats

Make strategic decisions based on the specific threats you face. With HUMAN Sightline, security teams can gain unprecedented clarity on each attacker’s actions and intent and define threat priorities. This real-time adaptability enables security teams to proactively identify new threat patterns, respond faster, and stay agile against evolving risks.

A new standard in bot management

When bot management originated, its output was simply bot or not. The next step in the industry was identifying “good” bots vs. bad bots. HUMAN Sightline detects which bad bot is responsible for each action. This marks the beginning of a new generation of bot management in which industry-leading solutions provide both bot mitigation actions and data-centric, AI-driven analyst tools. HUMAN is proud to lead the charge.

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