venturebeat

2025-12-01

AI models block 87% of single attacks, but just 8% when attackers persist

One malicious prompt gets blocked, while ten prompts get through. That gap defines the difference between passing benchmarks and withstanding real-world attacks — and it's a gap most enterprises don't know exists.

When attackers send a single malicious request, open-weight AI models hold the line well, blocking attacks 87% of the time (on average). But when those same attackers send multiple prompts across a conversation via probing, reframing and escalating across numerous exchanges, the math inverts fast. Attack success rates climb from 13% to 92%.

For CISOs evaluating open-weight models for enterprise deployment, the implications are immediate: The models powering your customer-facing chatbots, internal copilots and autonomous agents may pass single-turn safety benchmar [...]

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Your IT stack is the enemy: How 84% of attacks evade detection by turning trusted tools against you

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MCP stacks have a 92% exploit probability: How 10 plugins became enterprise security's biggest blind spot

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Match Score: 55.46

venturebeat

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Match Score: 45.36