The Asymmetric Future of AI in Cybersecurity
by Matteo Strada
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Highlights
the exact same technical action may be either legitimate or harmful depending entirely on the context.
This creates an intrinsic problem for language models because intent is ultimately expressed through language. For example, I can ask an LLM to help me validate a bug bounty report or provide a CTF narrative to bypass guardrails and exploit that vulnerability.
Cybersecurity has always had an interesting property: the same knowledge can either protect a system or compromise it. A proof-of-concept exploit can help a vendor reproduce and patch a vulnerability, or help an attacker weaponize it before users update their systems.
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