Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

AI agents can investigate a single vulnerability brilliantly, but that is only about 20% of vulnerability remediation. This post breaks down the other 80%: the data normalization, cross-tool asset identity, SLA enforcement, exception governance, and audit evidence that turn individual agent outputs into a governed, provable remediation program, and why AI and a platform like Seemplicity work better together than apart.

Your team already knows the pattern. The on-prem SIEM is still running, but it's become a bottleneck instead of a force multiplier. Cloud logs arrive late or in partial form. SaaS activity sits in separate consoles. Endpoint and identity events don't line up cleanly. Analysts burn time pivoting across tools, then still end up asking whether the alert is real. That's why the conversation around SIEM on cloud has changed. It's no longer about chasing a newer deployment model.

Hong Kong’s Protection of Critical Infrastructures (Computer Systems) Ordinance (Cap. 653) represents a major shift in cybersecurity regulation. The law moves beyond traditional compliance exercises and places a much stronger emphasis on continuous operational resilience. For designated Critical Infrastructure (CI) operators, the challenge is no longer simply deploying security controls.

Researchers at Malwarebytes warn that a fake ChatGPT download site is delivering malware. The attackers use sponsored results and SEO manipulation to target users who search for “ChatGPT download.” The phishing page is a convincingly spoofed version of the legitimate ChatGPT website, which delivers malware tailored to Windows or Mac users.

There was a time when “AI red teaming” sounded like a novelty. Now, it’s fast becoming table stakes. If your organization is shipping machine learning or LLM-powered systems into the real world (especially in sensitive domains), you need to know how those systems behave under pressure. That’s where AI red teaming tools come in. These tools help teams stress-test AI the way it will actually be used (and misused).