The digital twin concept earned its credibility in engineering. Its origins trace to a 2002 University of Michigan presentation in which Michael Grieves described a “Mirrored Spaces Model”: a virtual system holding the information about a physical one, linked to it throughout its life. For example, a jet engine manufacturer builds a precise virtual replica…
Your AI agents are making decisions faster than your teams can review them. Governance requires the same speed. In order to accomplish their given tasks, agents gain access to new applications and business data around the clock. But every autonomous decision raises a question you’ll eventually have to answer: Can you prove the agent acted…
An AI trust deficit occurs when an organization deploys autonomous AI agents faster than it can prove those agents are acting within policy. It’s the gap between what AI agents are doing and what CIOs can clearly explain to a board, auditor, or regulator. Closing that gap requires audit-ready context: evidence showing who owns an…
In the fast-paced world of agentic AI, building agents and defending ROI is yesterday’s news. Today, the more pressing challenge is managing and governing the exploding workforce of agents to mitigate growing enterprise risk. The problem intensifies as AI agents move from advisory to more active roles. According to a survey of 200 IT and…
With hundreds of AI-related companies increasingly crowding the market for enterprise dollars, IT leaders should prepare for the day when at least one of their AI vendors suddenly shutters or gets acquired. While the AI market overall is showing few signs of slowing down, a shakeout will eventually happen — with potentially significant ramifications for…
Artificial intelligence has been part of semiconductor design for years, helping engineers optimize chip architectures for performance, power efficiency, silicon area and faster development. More recently, the industry has begun integrating large language models and AI agents into established electronic design automation (EDA) workflows. Now Cadence Design Systems is taking that approach further with its…
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In Part 1, I argued that the moat is dry. When NotPetya hit Merck in 2017, it didn’t climb a wall. It came in through trusted vendor software, the routine traffic every perimeter is built to admit, and Merck put the damage at more than $1.4 billion. Its insurers then tried not to pay, and…
In June 2017, a piece of malware called NotPetya got into Merck & Co. without climbing a single wall. It arrived through a backdoor in accounting software supplied by a Ukrainian vendor, the kind of trusted, routine traffic every perimeter is built to let through. It spread to some 40,000 of the drugmaker’s computers, and…
New hands-on lab lets security practitioners explore PHP2Shell exploitation firsthand as AI-assisted research reshapes vulnerability discovery. OffSec today announced the release of a free, interactive hands-on lab in Proving Grounds Play (PG Play) to help security practitioners examine and defend against the critical “PHP2Shell” vulnerabilities (CVE-2026-109618 and CVE-2026-109619) firsthand. Developed in response to AI-accelerated vulnerability…