X-Industry

AI is now a practical part of work.  But “AI” gets used as a catch-all term, which sometimes creates confusion.  Below Calls9 explains the difference between traditional AI and large language models (LLMs) in plain language, with examples, limitations, and how to choose the right approach.  It is written for people who need clarity, not a computer science lesson.[1]

What people usually mean by “traditional AI” - In most organizations, “traditional AI” refers to two things:

Rules and logic: These

The United States faces persistent, increasingly sophisticated malicious cyber campaigns that threaten the public sector, private sector, and ultimately the American people’s security and privacy.  The federal government must improve its efforts to protect against these campaigns by ensuring the security of information technology assets across the federal enterprise.

The Artificial Intelligence (AI) data center insurance market is expanding rapidly due to the increasing adoption of AI technologies, rising cyber threats, and heightened demand for comprehensive risk management solutions.  For decades, insurance has relied on historical averages and pooled risk.  That model is breaking down; over the past several years, insured losses from natural catastrophes have exceeded US$100 billion each year.  In Canada, they were the costliest ever.  The country’s wildf

The researchers developed the AllFaith Benchmark, one of the first multi-faith test sets that examines how AI systems engage with a range of religions. They tested 14 different AI models, including flagship models from Anthropic, Google, xAI, and OpenAI.

The results are telling.  A survey of 1,125 Americans found that most people expect religious perspectives when asking ethics questions, but nearly every model failed to include any. More surprisingly, the models showed clear conversion bias, su

Twenty minutes into drafting an article, I stopped.  The voice was mine.  The rhythm was mine.  The vocabulary was mine. But the argument had moved somewhere I had not chosen to take it.  I had opened the session with a clear thesis.  The AI LLM assistant did not disagree with me.  It had simply kept offering better-sounding alternatives. And I had kept accepting them.  By the time I noticed, I could not easily identify where my thinking ended and the model’s thinking began.

Most people still im

For years, science fiction has warned humanity about artificial intelligence going off the rails.  Killer computers, manipulative chatbots, and superintelligent systems deciding people are the problem... all these themes have become so familiar that “evil AI” is practically its own entertainment genre.  Now, Anthropic is floating an idea that sounds almost like the plot of a science fiction novel itself: what if all those stories helped teach modern AI systems how to behave badly in the first pl

Finding software vulnerabilities used to require teams of security researchers months of painstaking analysis.  Anthropic’s Claude Mythos does it automatically-and that’s exactly the problem.  The company admits no one, including itself, has built safeguards strong enough to prevent such models from being weaponized.  Yet Anthropic simultaneously promises to make “Mythos-class models” publicly available once it develops “far stronger safeguards.”[1]

When AI Outpaces Human Security Teams - Mythos

In the cybersecurity world, we often assume that small and medium-sized businesses (SMBs) are the lagging indicators of digital maturity.  But new research from Tech.co and Expert Market suggests that SMB leaders are becoming surprisingly surgical in their tech adoption.  The data reveal a major pivot in 2026: while many organizations are pulling back AI for general business tasks, automated cybersecurity remains a non-negotiable priority.  As inflation pressures and tech regret drive a more sel

With attackers able to move at AI speed, defenders cannot rely on the techniques and instincts they have come to trust.   "That means putting in place stronger identity controls," said Jack Butler, a senior enterprise solutions engineer at Sumo Logic, a SecOps vendor.  "That means putting in place the more robust logging program and correlation engines to detect all of these in real time and reassess signals of trust. It needs to be reassessed dynamically."[1]

As for what to do about the substan

SonicWall has launched its 2026 Cyber Protect Report, marking a significant shift in how the organization presents threat intelligence.  Rather than focusing solely on raw data, the report prioritizes protection outcomes for business leaders.  The findings indicate that while the volume of attacks remains high, adversaries are becoming more precise, with medium and high-severity incidents rising by over 20% to reach 13 billion hits.

One of the most significant findings in the 2026 report is the

The idea that artificial intelligence might one day rival human creativity has become a familiar theme in public conversation. Generative models can rapidly produce images, stories and designs, which makes it tempting to assume that they possess something like imagination. A new study published in Advanced Science challenges that assumption in a direct and illuminating way. By examining how humans and AI generate images from abstract prompts, the researchers show that what looks like creativity

Senior business leaders in the UK are experiencing a significant rise in job complexity, with artificial intelligence (AI) identified as a primary driver.  A study by Alliance Manchester Business School (AMBS), based on a Censuswide survey of 500 UK managers, directors, and C-suite executives, reveals that almost three quarters (73%) of senior management have found their roles more complex since 2020 because of AI.  This figure climbs to 79% among directors and C-suite personnel, and 82% among m

Users frequently entrust AI assistants with highly sensitive information, including medical records, financial documents, and proprietary business code.  Check Point researchers have disclosed a critical vulnerability in ChatGPT's architecture that enables attackers to extract user data covertly.  A flaw in ChatGPT's code execution environment demonstrated how a single malicious prompt could quietly exfiltrate sensitive user data without warning or user approval.[1]

The Vulnerability - OpenAI de

If there's one thing that AI is good at, particularly language models, it's detecting patterns in datasets so large that it would be practically impossible for humans to sift through them all, quickly and accurately.  That certainly seems to be the case with Anthropic's new general-purpose model, Claude Mythos, as the company has announced that it used it to detect "thousands of high-severity vulnerabilities, including some in every major operating system and web browser."

Alongside the launch o

On 28 February 2026, a joint US-Israeli military campaign struck Iranian nuclear facilities, military infrastructure, and leadership targets in what was officially called Operation Epic Fury.  Social media quickly flooded with false footage of the conflict, including massive explosions in Tel Aviv, successful Iranian missile strikes on US warships, and satellite imagery purporting to show damage to American military bases in the Gulf. 

Some of this footage was recycled from unrelated conflicts,

If you've been using OpenClaw, the wildly popular AI agentic tool that took the developer community by storm, you should probably update it if you haven't done so already.  OpenClaw, as was reported in the past, has widely known security problems.  From the beginning, OpenClaw creator Peter Steinberger has warned potential users on GitHub that "There is no 'perfectly secure' setup."  Users can grant OpenClaw control over their devices and access to specific apps, local files, and logged-in accou

Rebranded as TrendAI, Trend Micro has published findings from a global study of 3,700 business and IT decision makers showing that 67% felt pressured to approve artificial intelligence projects despite security concerns.  One in seven described those concerns as extreme, yet overrode them to match competitors and meet internal demands.

Chief Platform and Business Officer and Head of TrendAI, Rachel Jin, commented: “Organizations are not lacking awareness of risk; they’re lacking the conditions t

Every time you check your bank balance online, send an email, or make a purchase with a credit card, your information is encrypted, a mathematical shield that keeps your data protected from prying eyes.  This encryption has worked extremely well for decades.  The algorithms safeguarding your most sensitive data would take today’s most powerful traditional computers millions of years to crack.  However, a new type of machine is emerging that could change everything.  That machine is the quantum c

Security researchers have uncovered a new supply chain attack targeting the NPM registry with malicious code that exhibits worm-like propagation capabilities.  Named Sandworm_Mode, the attack was deployed through 19 packages published under two aliases, which relied on typo squatting to trick developers into executing the malicious code.  According to cybersecurity firm Socket, the attack bears the hallmarks of the Shai-Hulud campaign that hit roughly 800 NPM packages in September and November 2

Artificial intelligence is becoming woven into the fabric of daily life, from helping doctors summarize medical notes to assisting developers with complex code.  As these systems move from novelty to infrastructure, the central question is no longer what they can do, but what happens when they are pushed to do what they should not.  A recent research paper titled Jailbreaking the Matrix: Nullspace Steering for Controlled Model Subversion and a companion article from TechXplore explore this quest