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Protecting Your Business Against AI Phishing is Essential

Protecting Your Business Against AI Phishing is Essential

I’m about to say something that is going to sound weird at first, but stay with me here:

I miss the Nigerian Prince scam.

I know, I know, it’s crazy, but let me tell you why: threats were a lot easier to spot.

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LexisNexis Breach — Lessons in Small Business Patching

LexisNexis Breach — Lessons in Small Business Patching

In late February, data analytics company LexisNexis Legal & Professional suffered a data breach in which the threat actor responsible used an unpatched application to access the company’s Amazon Web Services infrastructure. While LexisNexis L&P claims the data leaked was minimal, this breach still serves as an important reminder of a critical security principle:

If a company as large as LexisNexis L&P can fall victim to such a simple vulnerability, what’s to say your business won’t?

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3 Fatal Cybersecurity Myths That Put Your Business At Risk

3 Fatal Cybersecurity Myths That Put Your Business At Risk

If your best defense against cybersecurity threats is to hope your business is too small to target, we’ve got news for you. That’s no cybersecurity strategy, and hackers don’t care how big or small your business is. All they care about is the value your data presents, and let’s be real, that’s a lot.

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How to Build Security Into Your Backup Strategy

How to Build Security Into Your Backup Strategy

An unpopular opinion regarding business IT infrastructure is that there’s a big difference between “fun” and “functional.” Sure, your infrastructure might run, but how practical is it, and a better question yet, can it survive a major disaster? While data backup is not the most fun topic in the world, this doesn’t change the fact that your business needs to consider what happens in a data destruction scenario and if it can bounce back in a reasonable timeframe.

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The Moltbot Story and the Perils of Agentic AI Autonomy

The Moltbot Story and the Perils of Agentic AI Autonomy

AI has moved past the buzzword phase and into the plumbing phase. It is no longer about what an AI can say; it is about what it can do. But as the industry races toward total autonomy, the gap between a productivity breakthrough and a systemic breakdown has become a razor-thin edge.

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