Daily cybersecurity news with a working-engineer's filter. Breach disclosures, CVEs that will actually get exploited, ransomware activity, threat actor profiles, and the operational patches that move the needle — sourced and dated.
Machine learning security covers adversarial attacks, data poisoning, model theft, and supply chain risks targeting ML systems. Here is what practitioners need to know.
From prompt injection to supply chain poisoning, the generative AI risk landscape is broader than most security teams realize. Here is what the frameworks say and what attackers are doing.
From DNS-based data exfiltration and command injection in Codex to credential theft and prompt injection, here is what security teams need to know about ChatGPT security in practice.
Three incidents in three months — Clinejection, the FortiGate campaign, and the OpenClaw exposure wave — show how autonomous AI assistants are collapsing the boundaries security programs were built around.
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