Outflank is pioneering the integration of large language models (LLMs) to expedite research and development workflows while maintaining rigorous quality standards. This approach allows teams to focus on refining and testing techniques for their Outflank Security Tooling (OST) suite, which delivers evasive capabilities for complex operations. A recent case study exemplifies this by demonstrating how […] The post LLMs Boost Offensive R&D by Identifying and Exploiting Trapped COM Objects appeared first on GBHackers Security | #1 Globally Trusted Cyber Security News Platform.
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