HUMAN Sightline Cyberfraud Defense Features

Provides visibility into bot activity, attack trends, and traffic composition through dashboards and reporting

Distinguishes approved bots such as search engine crawlers and partner integrations from malicious automation

Identifies and classifies malicious automated traffic across web applications, APIs, or digital services

Uses machine learning or AI models to identify sophisticated or evolving bot behavior patterns

Identifies, classifies, and manages traffic generated by AI agents, autonomous agents, or LLM-based systems

Dynamically adjusts detection and mitigation decisions based on AI-driven risk analysis

Automatically blocks, challenges, rate limits, or otherwise mitigates malicious bot traffic

Protects APIs from automated attacks, scraping, excessive requests, and unauthorized access attempts

Detects and prevents credential stuffing, account takeover, and automated login abuse

Monitor the IP addresses of the incoming traffic

Automatically identify and flag unusual behaviors and malicious software

Identify and prevent suspicious activity

A chronological record of actions or occurrences within a network, software, or process

Reduce or block bot traffic

Discover patch statuses and vulnerabilities

Receive notification of issues as soon as they occur

Information to prevent, understand and identify cyber threats

Identify bot traffic

Assembly of graphs and charts for visualizing and tracking statistics/metrics

Software program that continuously adjusts its behavior based on observed data

Use AI to generate content in the form of text, images, videos, etc.

A virtual assistant that uses AI to pursue goals and complete tasks on behalf of users

Track and analyse user behavior within a system or network