Tanium Korea said companies need a fundamental shift in patch management as AI automates the full cyberattack chain and sharply shortens the time from vulnerability disclosure to large-scale attacks. Executives said existing patch processes are too slow and that simply increasing speed can raise risks. They proposed policy-led automation and introduced Autonomous Patch Management, which assesses risk in real time, executes patches based on predefined policies and verifies removal of threats. The company also outlined AI-focused security products and an autonomous operations agent.

Growing concern is emerging over a so-called patch gap, as AI can find vulnerabilities and write attack code within hours, leaving corporate security teams with less time to fix flaws. A Google M-Trends 2026 report cites cases where attacks occur before patches are deployed. Tests of Anthropic’s Mythos preview also showed rapid exploit generation for Windows kernel and Firefox vulnerabilities, while experts propose new prioritisation methods for patching.