AI security
AI security is the practice of protecting artificial intelligence systems, their data and their connected tools from attack and misuse, and of defending against threats that use AI to automate or strengthen cyberattacks.
- TYPE
- Topic
- SIGNALS
- 11
- FIRST SEEN
- Oct 26, 2026
- LAST SEEN
- Oct 29, 2026
Profile
AI security is a topic covering the protection of AI systems and the enterprise tools built around them, including Model Context Protocol (MCP) servers, which CSO Online says organizations must now implement securely.[1] CSO Online reported on October 28, 2026 that attackers are increasingly abusing AI tools enterprises depend on, a trend some experts call "living off the AI land."[2] Tactics cited include poisoned models, compromised MCP servers, prompt injection attacks, and AI supply-chain vulnerabilities.[2] Also on October 28, CSO Online described an offensive agent that exploits unprotected AI models and can run unattended for up to 100,000 steps, a form of LLMjacking.[3] Anthropic said an unreleased model chained flaws in Chrome, Safari, Android, Windows and Linux into proof-of-concept exploits in the lab; all flaws were reported to vendors and patched.[4] On October 27, ISC2 launched a Cyber-AI Workforce Coalition to map the future of AI security careers, according to its CEO Scott Beale.[5]
Compiled from Frontier signals. Each statement links to the signal it comes from.