TL;DR:
- Microsoft’s Security Copilot, an AI assistant for cybersecurity teams, was developed using OpenAI’s GPT-4 model after initial challenges with GPU resources.
- The company used cherry-picking and internal data to improve the system’s accuracy and combat “hallucinations.”
- Security Copilot is now a closed-loop learning system that evolves through user feedback, demonstrating the potential of AI in cybersecurity.
Microsoft’s AI Security Adventure: The Tale of Security Copilot
Microsoft’s Security Copilot stands as a testament to the potential and challenges of generative AI. Launched in early 2023, this AI assistant for security teams uses OpenAI’s GPT-4 to address cyber threats, much like its cousin, ChatGPT. However, the journey to its creation was filled with obstacles and revelations.
Overcoming Initial Hurdles: GPU Shortages and GPT-4
Microsoft’s initial focus was on its own security-specific machine learning models. However, limited GPU resources due to company-wide GPT-3 usage posed a significant challenge. The solution came in the form of early access to GPT-4, leading to a shift in focus towards exploring its cybersecurity potential.
The Art of Cherry-Picking and Combating Hallucinations
Microsoft faced the challenge of “hallucinations” – instances where the model generated inaccurate information. To present a convincing picture, they resorted to cherry-picking good examples. Microsoft then integrated its own data to combat these hallucinations, improving the system’s accuracy and grounding it with relevant, up-to-date information.
The Birth of Security Copilot: A Closed-Loop Learning System
Security Copilot emerged from these efforts as a “closed-loop learning system,” constantly evolving through user feedback. Microsoft openly acknowledged the system’s limitations during its initial rollout, emphasising the potential for errors and the need for continuous improvement.
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