Where AI Labs Will and Won't Disrupt Cybersecurity
Artificial intelligence labs are disrupting cybersecurity through application security, but their impact has limits. According to Sid Trivedi, partner at Foundation Capital, AI labs are unlikely to disrupt areas that require deep endpoint build-out or proprietary data.
Artificial intelligence labs have entered cybersecurity through application security. They moved from static analysis to dynamic testing, leveraging code generation capabilities. However, their disruption has limits. Sid Trivedi, partner at Foundation Capital, identified areas less likely to be disrupted, including runtime sensors and security functions built on proprietary data. Identity remains a key frontier. AI labs may replicate the cloud service provider model of owning identity at scale. Automating testing workflows is emerging as the next expansion layer beyond AI-driven code generation.
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