Author: Protegrity
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If AI Can’t Do Yoga, Should It Do Healthcare?
Artificial wellness is a big topic these days. For $365 per year, you can swing by Function Health and test 100 biomarkers, covering thyroid, cardiovascular health, heavy metals, nutrients, and much more. If you’re feeling ambitious, add SiPhox Health, Direct Labs, Ways2Well, and maybe squeeze in a Prenuvo or Ezra scan to hunt for early-stage…
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Agentic Cybersecurity ROI: The CEO CISO Gap
Over the past few weeks, Anthropic has knocked billions of dollars of value out of the stock market. The “SaaSpocalypse” stock drop has just been supplanted by Cybersecurity stocks as the post-agentic era punching bag. The fundamental question, “Can we trust AI to build software?” has been answered. It’s not perfect, it’s getting better. It…
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The Unin-Vited Guests: When Vibe Coding Ships Security Holes
I look at CISA’s (the Cybersecurity and Infrastructure Security Agency) Known Exploited Vulnerabilities list regularly. Usually, it’s the typical flaws, VPN’s, firewalls, Microsoft, some major open-source packages… but today, I noticed CVE-2025-31125, a vulnerability in Vite. Vite is a frontend tooling framework for JavaScript. If you aren’t a developer, you may have never heard of…
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Data Security in Apache Iceberg: An Enterprise-Ready Framework for Granular Protection
Discover why Iceberg needs enterprise-grade, granular security—and what “pervasive protection” means in distributed data environments.
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Data Center Mania: Greed, Exuberance, and the Race to Build Artificial Brains
THE FRAGILE AI STACK The modern AI stack is both complex and fragile. It’s built from a patchwork of third-party models, open-source frameworks, cloud services, and compute constraints, all orbiting around a single gravitational force: data. Whether you believe language models are “stochastic parrots” or “blurry JPEGs of the internet,” the next leap in AI…
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AI Fraud Detection in 2026: What Security and Risk Leaders Must Know
Fraud has always evolved quickly, but the acceleration in 2025—driven by generative AI, synthetic identities, model-evasion techniques, and automated social engineering—has pushed enterprises into a new era of risk. As we move into 2026, AI is reshaping fraud detection faster than any previous shift, forcing security and data teams to rethink how they identify anomalies…
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Future Data Theft and How We’ll Fight Back
You wake up in the year 2047, where everything is connected to a network. You stretch your arms as your AI coffee maker prepares beans harvested on the moon. With five rapid blinks, you deactivate “do not disturb” on your brain-implanted HUD, and suddenly, you receive a barrage of bank notifications alerting you to suspicious…
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When GenAI Thinks Like Don Quixote
When working with Generative AI (GenAI) day in and day out, you see the promise and experience the difficulty of an entirely new business paradigm. GenAI brings real, transformative, enterprise scale power to knowledge work – it is the coming of the second industrial revolution. Yet, organizations shouldn’t assume agents will behave benevolently when deployed…
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The Social Engineering Economy
It started the way most heists do, with a file that shouldn’t exist. Bob, the vendor account manager, exported a spreadsheet to send out Holiday greeting cards to his customer’s family. Bob always takes copious notes on his customers, their family, how many kids, their names, ages, and which college they got accepted to. It’s…
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How To Make It in this Agentic World
For centuries, the question of achieving success was answered simply by effort and skill. Back in the day, you were told to do a good job, and in doing so, you would be rewarded. “Lace up your boots and get to work,” they preached. Expertise was fundamental to doing a good job, hence education, practice,…