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When manufacturers discover their IP and other valuable data points have been encrypted or deleted, the company faces existential risk. Paul Knight, VP Information Technology & CISO at Turntide, explains why OT security operates under fundamentally different constraints than IT: you can't patch legacy systems when regulatory requirements lock down production lines, and manufacturer obsolescence means the only "upgrade" path is a pricey machine replacement. His zero trust implementation focuses on compensating controls around unpatchable assets rather than attempting wholesale modernization. Paul's crown jewel methodology starts with regulatory requirements and threat actor motivations specific to manufacturing.
Paul also touches on how AI testing delivered 300-400% speed improvements analyzing embedded firmware logs and identifying real-time patterns in test data, eliminating the Monday-morning bottleneck of manual log review. Their NDA automation failed on consistency, revealing the current boundary: AI handles quantitative pattern detection but can't replace judgment-dependent tasks. Paul warns the security industry remains in the "sprinkling stage" where vendors add superficial AI features, while the real shift comes when threat actors weaponize sophisticated models, creating an arms race where defensive operations must match offensive AI processing power.
Topics discussed:
By QohashWhen manufacturers discover their IP and other valuable data points have been encrypted or deleted, the company faces existential risk. Paul Knight, VP Information Technology & CISO at Turntide, explains why OT security operates under fundamentally different constraints than IT: you can't patch legacy systems when regulatory requirements lock down production lines, and manufacturer obsolescence means the only "upgrade" path is a pricey machine replacement. His zero trust implementation focuses on compensating controls around unpatchable assets rather than attempting wholesale modernization. Paul's crown jewel methodology starts with regulatory requirements and threat actor motivations specific to manufacturing.
Paul also touches on how AI testing delivered 300-400% speed improvements analyzing embedded firmware logs and identifying real-time patterns in test data, eliminating the Monday-morning bottleneck of manual log review. Their NDA automation failed on consistency, revealing the current boundary: AI handles quantitative pattern detection but can't replace judgment-dependent tasks. Paul warns the security industry remains in the "sprinkling stage" where vendors add superficial AI features, while the real shift comes when threat actors weaponize sophisticated models, creating an arms race where defensive operations must match offensive AI processing power.
Topics discussed: