Hazen Tech

There was a time when "IT operations" meant a wall of dashboards, a rotating on-call schedule, and someone getting paged at 2 a.m. because a server flagged a threshold nobody remembered setting. Monitoring told you something broke. It rarely told you why, and it never fixed anything on its own. That model is quietly disappearing. AIOps has moved past its original job of watching metrics and flagging anomalies. The category is now about systems that reason through incidents, correlate signals across a sprawling tech stack, and take corrective action without a human clicking "approve" first. Call it autonomous IT operations, self-healing infrastructure, or agentic ops — the label matters less than what's actually changing inside enterprise IT teams. From Alerts to Action Traditional monitoring tools are built to notice. They watch CPU load, latency, error rates, and uptime, then throw an alert when something crosses a line. The problem was never detection. I...

Most CIOs already know that the encryption protecting their organization's crown jewels won't last forever. What fewer of them realize is that the clock started ticking the moment adversaries began stockpiling encrypted data they can't yet read. It's a strategy security researchers call "harvest now, decrypt later," and it's not a theoretical exercise anymore. Nation-state actors and organized cybercrime groups are actively collecting encrypted files, financial records, and intellectual property today, betting that a sufficiently powerful quantum computer will unlock all of it within the next several years. That bet might pay off sooner than most enterprise security roadmaps account for. The Math Problem That Made Everything Secure Is About to Get Solved RSA and elliptic-curve cryptography have kept the internet running for decades because factoring large numbers is, for a classical computer, brutally slow. A quantum computer running Shor's algor...

Nobody's sending out a press release about it. There's no big rebrand, no splashy announcement that "we've overhauled our security posture for the AI era." But talk to enough CISOs and security directors at mid-size US companies right now, and you'll notice the same thing happening underneath the surface: budgets are shifting, training programs are getting rewritten, and old verification habits are quietly being replaced with new ones. This isn't a response to some single dramatic breach. It's a slower, steadier reaction to a threat landscape that's changed shape faster than most security teams' documentation has kept up with. The old playbook assumed a human on the other end Traditional security training spent years teaching employees to spot phishing emails by them tells — awkward grammar, mismatched logos, a sender address that's almost right but not quite. That training is losing relevance fast, because generative AI has removed m...

Somewhere in the last two years, "the AI flagged it" quietly became a stand-in for "we checked." It shows up in incident reports, vendor risk reviews, hiring decisions, and customer refund logs. It sounds like due diligence. In an actual audit, it's closer to a shrug, and regulators have started treating it that way. The Phrase That Doesn't Hold Up "AI approved it" answers a different question than the one auditors, regulators, and courts actually ask. They don't want to know what the system did. They want to know who was accountable for letting it do that, and whether a qualified person reviewed the outcome before it affected a customer, an employee, or a filing. A model output is not a control. A person checking that output, on a defined cadence, with the authority to override it, is a control. Those two things get conflated constantly, and the gap between them is where compliance programs are quietly failing. The Federal Trade Commissi...