ExploitBench is an AI cybersecurity benchmark that measures how well a system can move through the stages of exploit development, rather than only spotting a bug. Instead of a simple pass or fail, it scores progress from early signals like a crash or memory corruption toward more advanced outcomes such as reliable code execution. That makes it a more realistic test of offensive capability.
In cyber security, this matters because exploit development is what turns a vulnerability into an attack. A strong score can suggest that a model may help automate parts of vulnerability research, exploit chaining, or proof-of-concept creation. Defenders use benchmarks like this to assess risk, design safer model controls, and decide when to add sandboxing, restricted tooling, logging, and human review. In practice, ExploitBench is most useful as an evaluation tool for red-teaming and containment, not as proof that real targets are already compromised.