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Businesses often share data across corporate boundaries, but cybersecurity risks have never been higher.  As joint technology projects become more common, security teams currently face a difficult balance between enabling collaboration and protecting sensitive systems and information.  This balance requires careful planning to support innovation while protecting valuable assets from potential threats.[1]

Current data attacks underline the challenge, with hundreds of millions of records compromis

Sentinel Labs has provided a keen look into LLMs and SOC operations.  For security teams, AI promised to write secure code, identify and patch vulnerabilities, and replace monotonous security operations tasks.  Its key value proposition was raising costs for adversaries while lowering them for defenders.

To evaluate whether Large Language Models (LLMs) were both sufficiently performant and reliable to be deployed in the enterprise, a wave of new benchmarks was created.  In 2023, these early benc