PRODUCT UPDATES
•7 min read
Guardrail Release
Open-source release of the GA Guard series, a family of safety classifiers that have been providing comprehensive protection for enterprise AI deployments for the past year.
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Applied research in adversarial intelligence
We train adversarial models to break agentic systems
Exploit discovery and forecasting, trained together.
Offensive
Adversarial Agents
RL-trained agents that learn from realistic engagements with agentic systems to simulate adversarial behavior. Context-aware, not random fuzzing: they understand your system and find exploits specific to it.
Defensive
Forecasting Models
Single-pass vulnerability prediction. Fast enough to run on every pull request, accurate enough to catch what full red-teaming campaigns would find. Convert adversarial examples into training data for safeguards.
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Why This Matters
Agent security is a critical, distinct problem
The Problem
AI Agents Are A New Attack Surface
AI systems now have real agency. They execute code, call APIs, and make autonomous decisions. Every tool in the chain is a potential entry point. Traditional security was built for static software, not systems that reason.
What We Do
Intelligent Attack Path Discovery
Our models explore how agents reason, plan, and execute. They find multi-step exploit chains across tools, APIs, and decision points: attack paths that static analysis and pattern matching cannot find.
Our Approach
Models That Learn to Exploit
We leverage proprietary models to simulate adversarial behavior against your system. They discover exploits you did not know existed. Our forecasting models use insights from our simulations to predict vulnerabilities before code ships. A closed loop that compounds.
LatestWork
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Fresh press mentions, walkthroughs, and partner spotlights about how teams use General Analysis to harden their AI systems.
