How Google DeepMind is Defeating Prompt Injection “By Design”
A new paper from Google DeepMind proposes a paradigm shift: stop trying to make the model smarter, and start making the architecture secure.
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A new paper from Google DeepMind proposes a paradigm shift: stop trying to make the model smarter, and start making the architecture secure.
Organizations that treat MCP as a serious platform decision invest in schemas, runtime controls and ownership. Others adopt quickly, hit hidden costs and lose confidence in agentic systems altogether.
Enterprises are moving quickly with AI, but most lack visibility into where AI is used, what data it can access, and what actions it can take at runtime.
Generative AI and agentic systems create whole new runtime surfaces. Enterprises are seeing attacks accelerate, while breaches involving shadow AI cost materially more.
Cybersecurity is shifting from reactive detection to predictive, AI-native, identity-centric and continuously governed systems. Static, scan-and-respond security will not scale into 2026.
Security teams are being asked to review AI projects before they go to production - and they’re being set up to fail.