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Case Study

AI Innovator Neutralizes Compute Abuse and Slashes GPU Costs

A pioneer in the AI space, this organization focuses on developing reliable, interpretable, and steerable AI systems, including a globally popular large language model (LLM).

  • Unsustainable Compute Burn: Bad actors were creating mass volumes of free accounts and cycling through them to exploit free tier limits, driving up massive compute and GPU costs.
  • Revenue-Expenditure Imbalance: While maintaining millions of users, the organization faced a critical gap between revenue and the high costs of supporting a non-paying majority during a phase of rapid growth.
  • Ineffective Legacy Defense: Previous third-party “point solutions” failed to provide the efficacy needed to curb sophisticated, automated abuse, leading to a “sticker price” issue for security that didn't deliver results.
  • The Build vs. Buy Dilemma: Despite having world-class engineering capabilities to build in-house tools, the organization needed a more expedient and expert-led solution to address the problem immediately.
  • Holistic Platform Defense: Deployed Arkose Titan, a unified platform that replaces disparate point solutions with a comprehensive suite including bot management, email intelligence, and behavioral biometrics.
  • Proof of Value (POV): Conducted an intensive POV that demonstrated superior effectiveness over the incumbent competitor by identifying and neutralizing malicious traffic in real-time.
  • Arkose Device ID: Created persistent digital fingerprints that identify and track nefarious devices even when they attempt to hide their tracks.
  • Automated “Banning” Logic: Leveraged Arkose Device ID signals to set up automated response workflows that identify and ban returning bad actors within 10 minutes of their reappearance.
  • Expert Human Intelligence: Augmented automated defenses with the Arkose Labs SOC team, providing 24/7/365 monitoring and deep-dive insights into evolving AI-driven attack patterns.
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Choosing Arkose Titan proved more expedient than an internal build, allowing the company's engineers to stay focused on core AI research rather than security infrastructure.
  • Immediate Financial Relief: During the POV period this customer saved between $120,000 and $150,000 in compute and GPU costs.
  • Rapid Time-to-Value: Choosing Arkose Titan proved more expedient than an internal build, allowing the company’s engineers to stay focused on core AI research rather than security infrastructure.
  • Deterred Organized Abuse: Effectively stopped the cycle of free-account creation and LLM platform abuse, restoring economic balance to the free-user tier.
  • Superior ROI: Displaced the underperforming incumbent by delivering high-fidelity detection and material savings that far outweighed the cost of the platform.

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