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Product Brief

Discover how Arkose Titan's Agent Trust Manager detects, classifies and enforces against malicious agentic browser activity in production, with real-world data from a global platform managing AI agent abuse at scale.

Global Education Platform Protects Brand by Stopping AI-Assisted Exam Cheating β€” Case Study

15K

agentic sessions detected

46%

suspicious activity rate

1,200

affected exams

Key Benefits

How It Works

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What Sets It Apart

Proof of Value

The Arkose Labs Advantage

Case Study

Global Education Platform Protects Brand by Stopping AI-Assisted Exam Cheating

Discover how Arkose Titan's Agent Trust Manager detects, classifies and enforces against malicious agentic browser activity in production, with real-world data from a global platform managing AI agent abuse at scale.

15K

agentic sessions detected

46%

suspicious activity rate

1,200

affected exams
  • Certification Integrity at Risk: Online exams are vulnerable to AI-assisted cheating, threatening the trust that employers and partners place in platform-issued credentials.
  • Hard-to-Catch Abuse Vector: AI-powered browsers answer questions faster than any human can read them, a pattern that conventional security tools and in-platform monitoring were not built to detect.
  • Mid-Exam, On-Demand Cheating: Learners were selectively invoking AI agents for difficult questions while answering easy ones themselves, meaning blocking account creation alone would not solve the problem.
  • Visibility into a Hidden Problem: For the first time, the platform could see the true scale of AI-assisted exam cheating β€” nearly 15,000 agentic sessions and over 1,200 affected exams β€” giving Trust & Safety leadership the data they needed to act.
  • Visibility into Agent Activity: Arkose Titan’s Agent Trust Manager analyzed approximately 59 million sessions over a seven-day window, giving the customer their first clear view into the volume and distribution of AI browser activity across exam attempts.
  • Agent Classification by Behavior: Arkose Titan classified sessions by interaction pattern, identifying AI-driven responses that no human could produce. Each flagged exam was categorized by the specific agent responsible, giving the platform a clear breakdown of who was cheating and how.
  • Enforcement Through Precision Detection: By identifying which sessions involved AI assistance and which did not (down to the individual question) Arkose Titan gave the customer the precision needed to act with confidence, distinguishing deliberate misuse from false positives.
  • AI Browser Identification: Perplexity Comet was identified in over 700 flagged exams with a 46% rate of suspicious activity. OpenAI Atlas showed the same pattern at lower volume, concentrated in technical and productivity courses.
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The visibility, classification, and enforcement capabilities that caught exam cheating at scale are the same ones Arkose Titan brings to account takeover, payment fraud, and AI-driven commerce abuse. One platform, one detection engine, defending across every threat surface where agents operate.
  • Agents Identified and Classified: Arkose Labs classified the specific AI browsers involved as Perplexity Comet and OpenAI Atlas and mapped their behavior patterns, giving our customer a clear understanding of which agents were being used, how often, and in which courses.
  • Foundation for Policy and Enforcement: Armed with definitive evidence, the platform can now establish and enforce AI use policies across its certification programs, with attribution precision down to the individual exam and user level.

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