2025 AI Security AI Agents Privacy
AI agents are becoming increasingly autonomous — but how do we keep them secure when they can access sensitive data, communicate with external services, and make decisions on our behalf? We explore a networking-inspired approach that places independent security enforcement around agents, rather than relying on the agents themselves to always behave safely.
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Privacy Risks in Generative AI: What We Know and What We Don't
An accessible overview of membership inference, data extraction, and what privacy-preserving techniques actually protect against.
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How LLMs Are Being Used in Phishing Campaigns
A look at how large language models are changing the threat landscape for malicious emails and what defenders can do about it.
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Internet Censorship at Scale: Methods, Challenges, and Findings
Lessons from measuring DNS censorship across countries with machine learning — what the data reveals and what it hides.