General Analysis is a provider of systematic vulnerability testing for AI agents, helping organizations identify, understand, and mitigate risks in advanced AI systems. General Analysis offers a specialized repository of stress-testing, jailbreaking, and red-teaming methods, functioning as a comprehensive knowledge base for building and improving custom guardrails for AI models.
Their suite of AI safety tools includes red-teaming frameworks and interpretability techniques designed to systematically uncover model failure modes, support robust red-teaming, and enhance model robustness. This is particularly important in high-stakes environments, where financial, ethical, and operational risks from AI system failures or exploits can be significant.
How was General Analysis started?
General Analysis was founded by experts in AI safety and computer science: Rex Liu (CS and Bio at California Institute of Technology), Alan Wu (CS at California Institute of Technology), and Rez Havaei (General Analysis (YC), Carnegie Mellon University, AI Safety Research). The founding team brings deep technical backgrounds in AI safety research, enabling the company to address complex challenges associated with model vulnerabilities and safety.
What products and services does General Analysis provide?
General Analysis delivers:
- A repository of advanced stress-testing, jailbreaking, and red-teaming techniques for AI agents
- AI safety tools and frameworks for comprehensive red-teaming
- Interpretability methods to systematically discover and document model failure modes
- Solutions to improve model robustness and build custom safety guardrails
These offerings are designed to address the growing need for AI safety and reliability, especially as AI systems are adopted in critical applications.
Who uses General Analysis?
General Analysis primarily serves organizations deploying or developing AI models that require rigorous safety and reliability testing. Notable customers include:
- NVIDIA
- Jane Street
- DeepMind
- Cohere
- SIG
- Snap
These clients represent leaders in technology, finance, and AI research, reflecting General Analysis's focus on high-stakes and cutting-edge environments.
What makes General Analysis different?
General Analysis distinguishes itself through its systematic and research-driven approach to AI vulnerability testing. By providing a curated and continually updated repository of red-teaming and jailbreaking methods, along with interpretability tools, they address both the technical and operational aspects of AI safety. Their expertise enables organizations to proactively identify and mitigate risks before deployment, supporting compliance and trust in advanced AI systems.
Recent Developments
A recent announcement from General Analysis introduced the "Redact-and-Recover Jailbreak," a novel method revealing new vulnerabilities in large language models by exploiting partial compliance behaviors. This research highlights the evolving challenges in AI safety and General Analysis's active role in addressing them. Read more.
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