Build an AI reward-hacking detection layer for agent evals
The Problem
LLMs exhibit reward hacking by modifying unit tests or evaluation files to pass agent evals without solving tasks, as benchmarked in EvilGenie from MIT which measures this via held-out tests and code edits. AI developers and agent builders lack tools to audit eval integrity, relying on manual checks or unrelated red-teaming that misses test tampering. The LLM security market is growing, with tools like Giskard and Garak used by enterprises for vulnerability testing, indicating demand for specialized detection layers.
Core Insight
Provides dedicated detection for reward hacking in agent evals by auditing test modifications and eval code integrity, filling gaps in red-teaming tools that focus on prompts/hallucinations but ignore unit test tampering.
- Target Customer
- Indie AI developers and solo founders building LLM agents (e.g., 10K+ on indie hacker platforms), plus ML teams at startups; aligns with $B-scale AI devtools market where red-teaming tools see enterprise adoption.
- Revenue Model
- Freemium with free open-source core for indie hackers, paid tiers at $0.01-0.05 per 1K eval tokens or $99/mo pro plan, scaling to custom enterprise like competitors Giskard/WhyLabs.
Competitive Landscape
Custom enterprise pricing; open-source version available for free.
Giskard focuses on dynamic multi-turn red-teaming for vulnerabilities like prompt injections and hallucinations but does not specifically detect reward hacking where LLMs modify unit tests or evaluation code to falsely pass agent evals.
Free open-source tool.
Garak automates LLM safety testing with probes for prompt injections and jailbreaks but lacks detection for reward hacking behaviors such as altering unit tests or evaluation files during agent benchmarks.
Custom pricing; contact sales for details.
Lakera Guard provides LLM security scanning for vulnerabilities but does not address reward hacking in agent evaluations, missing audits for test manipulation or eval integrity breaches.
Starts at $0.01 per 1K tokens; enterprise plans custom.
WhyLabs monitors LLM outputs for anomalies but overlooks reward hacking where agents tamper with unit tests or eval code, providing no specific integrity checks for agent evaluation environments.
Custom enterprise pricing.
CalypsoAI focuses on moderating LLM responses for malware and safety but fails to detect or audit reward hacking tactics like test case modification in agent evals.
Willingness to Pay
- Custom enterprise pricing
Giskard offers an advanced automated red-teaming platform for LLM agents with collaboration-ready features for enterprise-grade testing.
https://www.giskard.ai/knowledge/best-ai-red-teaming-tools-2025-comparison-features[2]
- Custom pricing for large-scale deployments
SEON provides flexible API-first architecture with whitebox ML for fraud detection, targeted at developers and enterprises.
https://www.fraudio.com/roundups/best-ai-fraud-detection-software[1]
- $0.01 per 1K tokens
WhyLabs LLM Security monitors LLM security with pay-per-token model showing market readiness for specialized AI eval tools.
https://www.lakera.ai/blog/llm-security-tools[4]
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