At this very moment, somewhere, there is probably a boss-type who is banging on a conference table, shouting to the room and into a conference phone: “Bring me more AI projects! The next person who suggests allocating budget for anything, even a pencil, that doesn’t have AI in it somewhere, is fired!”

Naturally, the executives will scurry out of the room, then blast out instructions to their managers that they had better start searching for AI solutions to all of the things that they used to do without AI.

Unfortunately their search for AI will land on an infinite number of results. Here’s a plan: go look at the websites of the stodgy old vendors that we already used from before AI, figure out what exactly we were doing with them, and then buy or build the AI that can do that.

Wait a minute – when you get to their websites, every single one of them is doing AI now! Not only that, every one of them claims to be some combination of the first, leading, easiest, best rated, and most powerful AI vendor in their space.

To figure it out, let’s hire someone who’s been on the leading edge of AI for 5-10 years. Lots of resumes say they did in the career site.

Uh-oh. AI is literally everywhere, and everyone’s doing it. It’s a no-win situation. 

What is our hapless hierarchy going to do now?

How about we all stop saying AI at the same time?

If all of us made up our minds to stop saying AI, stop mentioning it, stop typing it, I think we could actually get out of this mess we’ve allowed ourselves to put ourselves in.

I’m serious. Don’t. Say. A. I. Ever. Again.

All of a sudden, we just won’t talk about it anymore. Then all the things that were AI-something, and the companies that were going to rebrand and put somethingAI at the end of their names, we can just call them whatever they were before.

Now, I’m not talking about AI going away. No, no, it’s way too late for that. We’re already soaking in it, and it will eventually consume something like half the energy output of the world.

Instead, we will simply assume every product company, application vendor or service provider that has somehow survived the last three years must already be doing AI by now, and since it is ubiquitous, we will be allowed to move on with our lives from there.

No more worrying about getting left behind by the competition because of AI. No more fear of missing out on the big AI party. Let’s start our own party... [Read the whole Cortex on Intellyx.com.]

In the first three installments of this series of articles, my colleague Eric Newcomer and I made the case for bitemporal databases.

In the first installment, Eric introduced the central challenge of data compliance: how traditional relational databases struggle to keep track of how values change over time.

I followed up with an explanation of how the everyday UPDATE and DELETE operations so familiar to database professionals are inherently flawed, as they erase any information about the previous state of the data they overwrite.

In the third article, Eric explored the bitemporality challenge in depth ... [Read the BrainBlog here.]

Legacy mainframe code can be a major modernization roadblock. Now generative AI allows clearer understanding, simpler refactoring, and less risky updates. Read this Intellyx eBook to take the fear out of mainframe transformation. 

At first glance, as you wander onto this expansive Moscone Center expo floor, witness some of the near-million-dollar booths, you might wonder if the only kind of budget consideration on the chief information security officer’s mind is something related to responding to new artificial intelligence threats with AI agents — or perhaps worrying about monster trucks or goats crushing or eating a user’s mobile phone.

But beyond the glitz, AI agents can barely scratch the surface on the shortage of skilled cybersecurity talent available to address the exploits our software faces today. In this regard, newer AI-based security tools are really just the next incremental boost in automation toward protecting an exponentially expanding attack surface exacerbated by AI.

Attending the 34th annual RSAC 2025 in San Francisco with 44,000 others, I really started to understand why the organizers would pick a theme like “Many Voices. One Community.” It will take people from different walks of life, many of whom did not envision themselves as cybersecurity professionals, working together ... [Read the whole BrainBlog here.]

A strategic guide to evaluating mobile app security approaches and selecting the right protection model for your business.

As attackers grow more sophisticated, especially with the help of AI, organizations must rethink how they secure their mobile ecosystems. This white paper introduces a practical framework to help teams assess and strengthen their mobile app security strategy, no matter where they are in their journey, featuring:

• Why Mobile Security Matters — Understand why mobile apps require a unique security approach
• Pick the Right Security Model — Explore the four security quadrants: Basic, Wrapper-Based, Embedded, and Combined—and understand when to use which approach.
  
• Secure Early, Stay Safe — Learn why building security into the app early is critical to reducing risk and maintaining user trust.
• Find and Fix Security Gaps — Assess your current security posture and close gaps before threats strike.
• How Verimatrix XTD can help