CyberIntelAI tracks how AI is changing the threat landscape in real time.
Not just new capabilities, but how attackers are actually using them: the incidents, the tools, and the shifts that matter once systems move into production.
If you're defending modern infrastructure, this is where the signal is.
A Hong Kong finance worker was tricked by a deepfake video call into wiring millions—now the same playbook is being industrialized with voice clones, synthetic meetings, and targeted social engineering. Which sectors are most exposed, and which controls actually break the fraud chain before money moves?
Role-playing, token manipulation, and many-shot prompting can steer enterprise LLMs past intended safeguards—even when the model appears well-guarded. The real question is how security teams can detect these attacks early and reduce the risk before sensitive data or workflow controls are exposed.
Employees are pasting source code, customer records, and internal strategy into unauthorized AI tools—often before security even knows those tools exist. This post examines the real leakage paths, practical ways to detect shadow AI across SaaS, browsers, and endpoints, and the policies that reduce risk without blocking legitimate work.
Prompt injection isn’t just “bad input” — indirect attacks can hide inside webpages, emails, or documents and override an AI system’s instructions even when the prompt itself looks clean. This post breaks down why traditional sanitization fails and which defenses actually help today: sandboxing, output validation, and privilege separation.
For years, typos and awkward phrasing were the telltale signs of phishing. Large language models just eliminated that detection signal entirely.
Developers are shipping AI-generated code faster than ever. Security researchers are finding the vulnerabilities just as fast.
Autonomous AI agents can browse the web, run code, and call APIs on your behalf. Attackers have noticed — and are already exploiting them.
Discover how Google's A2A protocol standardizes secure agent-to-agent communication and the critical security considerations organizations must address.
Learn what the Model Context Protocol (MCP) is, how it enables AI systems to share context, and key security considerations organizations must address.
Learn how AI tools like ChatGPT can help security teams respond faster, reduce false positives, and streamline analysis.