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AI & Enterprise

Conditions for integrated AI security platform: Block three control points

An F5 executive said AI is changing application security as software, not humans, can become application users. He said security risks are rising as large language models create new attack surfaces and attackers move at machine speed. He said an integrated AI security approach must cover three control points: the front door, orchestration and inference. He also outlined F5’s WAF redesign and AI security tools, and announced the acquisition of Sure Path AI.

AI & Enterprise

Policy-based autonomous patching is the answer in Mythos-era security

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.

AI & Enterprise

No AI without data sovereignty, Synology sets out three-pillar strategy on data, security, recovery

Synology Managing Director Mike Chen (마이크 첸) said companies cannot treat AI as optional but warned that adopting AI without properly controlling vast legacy data can undermine data sovereignty. Speaking at a Computex 2026 keynote in Taipei, he cited a Gartner survey showing widespread employee use of personal AI and disclosures of pasting sensitive company data into external tools. He outlined Synology’s three-part approach: data ownership, security AI and trusted disaster recovery.