Research from Lasso shows that the performance of AI agents in offensive security tasks can vary significantly based on the agent harness used, rather than just the underlying model. This finding highlights the importance of evaluating both the model and its runtime environment for accurate benchmarking and effective deployment in enterprise settings. Tech professionals should focus on selecting appropriate harnesses to ensure reliable and successful autonomous operations.
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