2025-12-22
Red teaming LLMs exposes a harsh truth about the AI security arms race
Unrelenting, persistent attacks on frontier models make them fail, with the patterns of failure varying by model and developer. Red teaming shows that it’s not the sophisticated, complex attacks that can bring a model down; it’s the attacker automating continuous, random attempts that will inevitably force a model to fail.
That’s the harsh truth that AI apps and platform builders need to plan for as they build each new release of their products. Betting an entire build-out on a frontier model prone to red team failures due to persistency alone is like building a house on sand. Even with red teaming, frontier LLMs, including those with open weights, are lagging behind adversarial and weaponized AI.
The arms race has already started
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2025-12-04
Anthropic vs. OpenAI red teaming methods reveal different security priorities for enterprise AI
Model providers want to prove the security and robustness of their models, releasing system cards and conducting red-team exercises with each new release. But it can be difficult for enterprises to pa [...]
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Prompt Security's Itamar Golan on why generative AI security requires building a category, not a feature
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2025-08-07
Trump's Truth Social launches AI search powered by Perplexity
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2025-11-13
Forrester: Gen AI is a chaos agent, models are wrong 60% of the time
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When AI Backfires: Enkrypt AI Report Exposes Dangerous Vulnerabilities in Multimodal Models
In May 2025, Enkrypt AI released its Multimodal Red Teaming Report, a chilling analysis that revealed just how easily advanced AI systems can be manipulated into generating dangerous and unethical con [...]
2025-03-18
The Quantum Arms Race Isn’t Just About Tech, It’s About Who Controls the Narrative
The quantum arms race is no longer just a battle over technology, it’s a battle over perception. For years, the narrative around quantum computing has been clouded by skepticism, fueled by early hyp [...]