Prevent scams this Holiday season, thanks to TELUS

Posted in Commentary with tags on November 10, 2026 by itnerd

A too-good-to-be-true Black Friday deal. A text saying your package couldn’t be delivered. A call that looks like it’s coming from someone you know. Sound familiar?

As Canadians gear up for the holiday shopping season, scammers use this time to catch people off guard.

According to the Canadian Anti-Fraud Centre, Canadians reported more than $704 million in fraud losses in 2025, across more than 112,000 reports. The agency estimates that only 5–10% of frauds are reported, suggesting the true impact could be much greater.

To help Canadians navigate these risks, TELUS recently launched Scam Protection powered by Norton, which includes four distinct features that helps identify suspicious calls, texts and emails and provides an on-demand assistant for checking potentially fraudulent messages.The service is built directly into the My TELUS app and once activated, the service works quietly in the background so customers can continue with their day-to-day knowing they have tools to help identify potential scams and make more informed decisions about what to trust.

TELUS Scam Protection is included at no additional cost with new TELUS mobility data plans. Existing customers can also access it by switching to an eligible plan or adding the service to their current plan for $3 per month.

With that in mind, I wanted to share a timely story idea on common holiday shopping scams and how Canadians can better protect themselves, offering a natural tie in for TELUS Scam Protection.

  • Fake shopping deals: Be cautious of suspicious offers and links promising unbelievable discounts.
  • Fraudulent delivery notifications: Think twice before clicking a link in an unexpected package or delivery text.
  • Spoofed phone numbers: Just because a call appears to come from a familiar number doesn’t mean the caller is legitimate.
  • Phishing emails and texts: Watch for messages asking you to urgently share personal or payment information.
  • Suspicious messages on social media: Be cautious of unexpected requests or links, even when they appear to come from a familiar account.

November Patch Tuesday Commentary From Fortra

Posted in Commentary with tags on November 10, 2026 by itnerd

By Tyler Reguly, Associate Director, Security R&D at Fortra

Another Patch Tuesday, another 4-digit patch drop from Microsoft. This month, we do see fewer vulnerabilities than we saw last month. I’m not foolish enough to think that this single drop indicates that we’re into the downward trend that I predicted we’ll see in the coming months. Instead, I think that we’re seeing a continuation of the elevated numbers as Microsoft continues to fix long hidden issues that are being surfaced by AI. Soon, however, these numbers will begin to decline as the last of these long-hidden issues are resolved and we only have new bugs to deal with.

For the past few weeks, everyone has been talking about MS Paint and an associated vulnerability (CVE-2026-83844) from the October Patch Tuesday, that is the kind of noise that experienced administrators and security researchers are ignoring, and everyone else should to. It was not an issue that warranted conversation, yet there was plenty of it. Instead, let’s focus on real issues, like actively exploited vulnerabilities. This month, luckily, we only have one of those, CVE-2026-124194, a vulnerability in Outlook that could allow the disclosure of an account’s NTLMv2 hash. Since Microsoft notes that an exploit has been detected, this one is worth talking about… everyone should work to update Outlook as soon as possible.

I don’t know about everyone else, but I’m tired. I can only imagine that if I’m tired, admins and operations teams everywhere are also tired. We must remember perseverance now. It isn’t a question of if vulnerability counts will decrease, it’s a question of when. We just need to hold on a little bit longer – drink that coffee or that energy drink with a sweet treat to keep yourself going. I believe that we will make it through to the other side, if we prioritize updates and focus on what really matters. The noise is coming at us from all sides, and we need to cut through it and figure out what really matters to the business.

This is where CSOs can help their teams by ignoring any noise coming from vendors and any vulnerabilities that are overhyped. When vuln counts started to rise, it was C-level employees who jumped up the fastest and added to the burden their admins were facing. Now it’s time to settle down and support your teams rather than increasing their burden. Keep these four things in mind:

  • AI companies and security vendors may needlessly hype unimportant vulnerabilities because it is a cheap, effective marketing for their services.
  • A vulnerability isn’t critical if you don’t have the impacted software deployed.
  • Prevention is key, focus your efforts on system hardening and mitigation, it will be more effective than chasing vulnerabilities.
  • Prioritization matters. If you’ve developed a prioritization strategy that works for you, don’t change your process just because the media is looking for clicks.

Your iPhone Saying “Slow Charger” Is NOT A Problem

Posted in Commentary with tags on November 10, 2026 by itnerd

Since iOS 18 from September to November, I get calls from clients who got new iPhones and who want me to fix their “Slow Charger” issue. As in they either plug their phone in or drop it on a wireless charger and they get the message “Slow Charger” pop up on their lock screen.

I am here to tell you that this is not a problem. Here’s why.

First, your phone is still charging. It’s just charging slowly. Why is that the case? well, if your wireless charger is less than 10W or your wired charger is less than 7.5W, Apple considers that to be “slow.” And that you can charge faster if you had a “faster” charger. You will typically see this if:

  • Your charging brick is wired and USB-A. The fix is to go to a USB-C charger and cable.
  • Your cable is not a good quality USB-C cable. In which case get a better quality cable.
  • Your wireless charger is less than 10W. That means you need to upgrade your charger to something faster.

I have also found that shared power adapters cause this issue. By shared I mean that a power adapter is 20W, but it only puts 7.5W or less to the iPhone for example. And I have found that Non–Power Delivery (PD) adapters or uncertified third‑party chargers cause this issue as well. The fix for these are to have either a dedicated charger or a higher wattage shared power adapter, or have a certified charger that does PD.

The key message is that this message is informational, not a sign of damage. It simply indicates that your iPhone could charge faster with a better charger.

How to Assess OT Incident Response Preparedness

Posted in Commentary with tags on November 10, 2026 by itnerd

Cyberattacks affecting operational technology (OT) can disrupt production, equipment, and essential services, resulting in consequences that extend beyond disruptions to traditional IT systems. To help organizations evaluate their preparedness, Cloud Range today introduced the Cloud Range OT Cyber Readiness Assessment, a free, 28-question resource designed to identify potential gaps in OT incident response preparedness.

The assessment provides a practical starting point for IT, security, OT, and engineering teams to evaluate how well they understand their environments, coordinate responsibilities, and prepare to detect, investigate, respond to, and recover from cyber incidents affecting industrial operations.

T Cybersecurity Threats Reinforce the Need for Preparedness

Recent research illustrates the scale of cyber threats facing industrial organizations. The Dragos 2026 OT Cybersecurity Year in Review reports that approximately 3,300 industrial organizations were affected by ransomware in 2025.

Palo Alto Networks’ 2026 State of Critical Infrastructure Cybersecurity Report found that 59% of surveyed critical infrastructure organizations experienced a significant security breach in the past year. The research also found that 74% had not fully integrated IT and OT security operations, highlighting the importance of coordinated incident response.

The report also identifies operational consequences of cybersecurity incidents, including safety concerns, unplanned downtime, production disruptions, and financial losses.

Together, these findings underscore a central challenge for organizations operating OT and industrial control systems (ICS): preventing attacks is important, but so is understanding whether teams can recognize, investigate, and respond quickly and effectively when incidents occur.

An attack does not have to originate within an OT network to affect industrial operations. Compromises involving enterprise IT systems, third-party access, supply chains, or interconnected infrastructure can create consequences for production environments and critical services.

Seven Critical Areas of OT Cyber Readiness

The Cloud Range OT Cyber Readiness Assessment examines seven areas that influence an organization’s ability to prepare for and respond to cyberattacks affecting OT environments:

  • Know Your Environment: Understand critical OT assets, systems, dependencies, and connections between IT and OT environments.
  • Know Your Threats and Stakes: Recognize relevant cyber threats and their potential impact on operations, equipment, and safety.
  • Bridge IT and OT: Establish shared responsibilities, communication, and decision-making across IT, security, OT, and engineering teams.
  • Detect and Investigate: Identify suspicious activity, investigate threats, and determine their potential operational consequences.
  • Respond Without Making It Worse: Make coordinated incident response decisions that account for production continuity, equipment, and safety.
  • Recover and Maintain Resilience: Understand recovery priorities, system dependencies, and procedures for restoring critical operations.
  • Prove Readiness Before It Matters: Validate response capabilities through realistic cyberattack simulations and measurable performance.

Each area includes three questions, with responses of Ready, Developing, or Unsure.

Rather than assigning a numerical score, the assessment helps organizations identify gaps, uncertainties, and areas requiring further attention. IT, security, OT, and engineering teams can complete it independently and compare their responses to uncover differences in understanding, unclear responsibilities, or differing assumptions about preparedness.

Why OT Incident Response Preparedness Requires Cross-Functional Coordination

OT environments present distinct incident response challenges because cyber decisions can affect physical equipment, industrial processes, production availability, and potentially safety.

Actions that may be appropriate in an enterprise IT environment, such as isolating a system or shutting down a device, can require additional operational evaluation when industrial systems are involved.

Effective OT incident response therefore depends on coordination among teams with different responsibilities and expertise.

IT and security personnel may focus on identifying malicious activity, containing threats, and investigating compromised systems. OT and engineering personnel understand process dependencies, equipment limitations, and the operational consequences of response decisions.

Both perspectives are essential. The integration gap identified in the Palo Alto Networks research reinforces the importance of shared understanding, clear responsibilities, and coordinated decision-making across IT, security, OT, and engineering teams.

Understanding how to assess OT cyber readiness across these functions helps organizations identify where their procedures, communication, and decision-making may require further attention.

The assessment is intended to support those conversations before an actual incident demands coordinated action.

From OT Cyber Readiness Assessment to Attack-Based Validation

An assessment can help organizations identify preparedness gaps, but it cannot establish how effectively teams will perform during a real cyber incident.

That requires opportunities to investigate attacks, make decisions, coordinate across functions, and evaluate the results in realistic environments.

Cloud Range helps organizations strengthen critical infrastructure cyber readiness, realistic cloud-based OT/ICS, IT, cloud, and hybrid environments where teams can investigate cyber threats, coordinate incident response, and measure performance. Its critical infrastructure cybersecurity and readiness programs help organizations prepare for attacks that may disrupt industrial processes, equipment, and essential services.

The Cloud Range OT Cyber Range supports flat and Purdue-model industrial network architectures, allowing teams to investigate how connectivity, segmentation, and system dependencies influence attack progression and response. Hardware-in-the-loop capabilities can also connect physical OT laboratory equipment to the cyber range for cyber-physical security validation.

Through OT cyberattack simulations and adversary emulation, teams can investigate ransomware, supply-chain compromise, credential theft, lateral movement, and threats affecting industrial systems.

Performance metrics highlight how teams improve in detecting threats, investigating activity, coordinating decisions, and improving incident response over time.

Across Cloud Range customer engagements, measured improvements have included reductions of up to 66% in mean time to detect and improvements of up to 30% in overall incident response time. These results reflect broader cyber readiness programs and are not specific to OT environments.

Building a More Complete Picture of OT Cyber Readiness

As IT and OT environments become more interconnected, organizations face growing pressure to understand both their cybersecurity exposure and their ability to respond to incidents with operational consequences.

The Cloud Range OT Cyber Readiness Assessment provides a structured way to evaluate preparedness across seven critical areas. Organizations can use the findings to prioritize improvements and identify where realistic attack-based validation can provide stronger evidence of readiness.

The objective is not simply to have an incident response plan. It is to build confidence that the people, processes, and technologies involved can work together when an attack affects operations.

For the Sports Fan Who Has Everything, Consider Fubo

Posted in Commentary with tags on November 10, 2026 by itnerd

Fubo, the sports-first live TV streaming platform h brings fans closer to the teams, leagues and competitions they love, making it a great addition to any gift that you might be giving. Let me hit the highlights:

  • For the sports lover who has everything: As the exclusive home of the English Premier League in Canada, Fubo streams every match live throughout the season, alongside Serie A, Bundesliga, Ligue 1, Concacaf and the Canadian Premier League. For fans who love more than soccer, Fubo Sports Pro bundles Fubo with DAZN, including NFL Game Pass for every NFL game.
  • For the last-minute gift giver: No shipping delays or crowded malls! A digital streaming subscription offers a convenient, instant-access option for shoppers looking for a thoughtful gift without the last-minute scramble.
  • For those who prefer experiences over things: Forget another gadget! From iconic rivalries and unforgettable sporting moments to entertainment, news and lifestyle programming, Fubo offers something for the whole family to enjoy together.

With cloud DVR, streaming across devices and select Premier League matches in 4K, Fubo delivers live sports excitement week after week, long after the holidays are over. So if you’re a last minute shopper, or you plan ahead, you should give Fubo a look.

Keeping iPhone Users Safe From Spyware

Posted in Commentary with tags on November 10, 2026 by itnerd

I don’t talk my clients out of much. But based on a quick interview with them, I often talk them out of having their iPhone scanned for spyware. That however might be changing.

iPhone spyware is usually reserved for government surveillance. So if you are a politician, an activist, a human rights campaigner, your a target. That likely changed with iVerify’s Advanced Mobile Threat Report 2026, published November 10. To highlight:

“In 2026, that changed. The exposure of DarkSword and Coruna in March, and the leak of DarkSword on GitHub, put government-grade iOS exploits in criminal hands. Attackers delivered them through online ads, reached ordinary employees, and erased their traces before defenders could respond. Android faced the same shift, with cheap, ready-made kits that let criminals take over phones remotely.”

This is of course, bad. Google’s Threat Intelligence Group sings a similar story. What this means is you need to be on guard. But the question is how? I have a few tips:

  • Keeping your iPhone updated is the most effective defense. You should install patches shortly after they are available.
  • Only download apps from trusted sources, and check the developer before installing unfamiliar software. I would not trust the Apple App Store to keep you completely safe. The same goes for certificates or profiles that you have no knowledge of.
  • Using strong, unique passwords and two-factor authentication also helps protect accounts.
  • People concerned about sophisticated, targeted spyware can consider Lockdown Mode, which restricts certain apps, websites, and features to reduce potential attack paths. That is the nuclear option. But it does work.

I also recommend watching this video from John Scott Railton of The Citizen Lab at the University Of Toronto for other useful tips.

Fraud Awareness Week: AI voice cloning, exposed data and holiday scams

Posted in Commentary with tags on November 10, 2026 by itnerd

With International Fraud Awareness Week (Nov. 15–21) kicking off next week and the holiday season approaching, I wanted to give you and the ones you love something to work with.

Virtual kidnapping is on the rise. Criminals can use AI-generated voices and personal details pulled from data breaches or social media to fabricate an emergency involving a loved one, then pressure victims into sending money before they can verify the story.

PureVPN recently highlighted this threat and the role exposed personal information can play in these scams, along with practical steps consumers can take to protect themselves, including checking their data exposure and establishing family verification plans. You can find more details here.

This is timely as holiday travel and online activity pick up. Thus it should be required reading.

Abstract Issues AI Pentesting Report: Countering Threats in the Era of Agentic Attacks

Posted in Commentary with tags on November 10, 2026 by itnerd

The techniques are the same. The clock is different.

That’s a line from Abstract‘s report just released: Countering Threats in the Era of Agentic Attacks.

Until recently an “AI-assisted attack” usually meant a more convincing phishing email. That changed in the past year with the rise of AI pentesting (AIPT) tools like ARTEX and CyberStrikeAI. These open-source frameworks compress the time it takes to probe target infrastructure, identify pathways in, and execute actions on objectives. No operator at the keyboard for most of it.

Abstract’s report contains:

  • What AI pentest frameworks are and what changed
  • The behaviors and artifacts they leave in logs
  • Detections and hunts you can implement
  • Why in-stream detection and autonomic response close the gap
  • Abstract detections for agentic attack activity
  • Deception as defense ideas
  • Hardening guidance

In the era of agentic attacks, these three things matter most:

  • Harden the infrastructure first
  • Detect at the speed the attack moves
  • Act without waiting for a human

More info here: https://www.abstract.security/blog/ai-pentest-frameworks-agentic-attacks

Hedra Launches Model Factory, an Autonomous Post-Training and Inference Platform for Real-World AI

Posted in Commentary with tags on November 10, 2026 by itnerd

Hedra, an a16z-backed research company building models and infrastructure for multimodal and physical AI, today launched Hedra Model Factory, an autonomous post-training and inference platform for building models for the real world. The platform combines flexible GPU sandboxes, post-training run by Hedra researchers working with autonomous AI agents, co-optimized low-latency deployment, and a data flywheel that keeps improving each model after it ships.

Models that improve themselves are accelerating frontier research. Hedra Model Factory applies that loop to real-world problems, where data is multimodal and orders of magnitude larger than text, and where reinforcement learning environments and simulators often need GPU acceleration just to run at scale. Hedra grew revenue 15x over the past 12 months, and the platform opens the research and infrastructure behind that growth to teams that need custom models built on their own data.

From Compute to a Data Flywheel

Compute. Hedra GPU sandboxes give teams flexible capacity running on Hedra’s inference engine, so they can scale training up without locking into long-term GPU commitments.

Post-training. Teams bring their simulation engines and data, and Hedra helps build the reinforcement learning environments and datasets they need. Hedra researchers work alongside each customer’s team, using tools such as vision-language models that caption and score data or give feedback during online reinforcement learning. For companies without their own research lab, Hedra researchers also set up data capture, evaluations and the training-to-serving loop.

Deploy. Models run on low-latency compute, on premises or at Hedra’s nearest partner data center, from distilling world action models to run faster than real time without losing physical coherence to fitting a vision-language-action model onto an edge device. Teams can also bring an existing model to serve on Hedra’s inference engine.

Self-improve. Once a model is deployed, Hedra researchers analyze its production performance, retrain the model and release only versions that pass the customer’s evals.

Research Results Behind the Factory

Physically consistent video. Hedra retrained H3 for physical consistency. The retrained model scored 34.9 on Google DeepMind’s Physics-IQ benchmark, compared with 30.3 for H3 Max, with comparable visual quality. An autonomously distilled version rendered a five-second clip in under three seconds on AMD MI355X GPUs.

Krea 3 image editing. Through distillation and inference optimization, Hedra cut Krea 3 2K image edits from about 22 seconds to 3.6 seconds on the same four AMD Instinct MI355X GPUs, roughly 6x faster, in under a week. The baseline ran the original bf16 model at 30 sampling steps; the faster result uses a distilled 14-step model. Krea 3 runs on MI355X on Hedra today.

Robot hardware changes. In a simulation study, Hedra fitted a robot running a trained policy with a new gripper and restored task success from near zero to near 100% with no retraining, by matching the new gripper’s reach and grasp point in the wrist camera view.

Recursive self-improvement describes systems that get better at improving themselves. Hedra applies the idea to how models are made: researchers work alongside autonomous AI scientists that run experiments and iterate on training runs, and every deployed model feeds data back into the next version. Hedra’s research pushes toward a model factory that gets faster with every model it produces.

Lingelbach has spent his career on reinforcement learning for visual and physical systems, first at Stanford and NVIDIA. Hedra’s research team brings together talent from Stanford, Berkeley and UIUC, with experience at NVIDIA, Meta Superintelligence Labs, Fireworks AI and Salesforce, and has published research in generative video and embodied AI at NeurIPS, CVPR and ICLR.

Availability

Hedra Model Factory is available starting today at the new hedra.com. Teams can work with Hedra researchers to build and deploy a custom model for the problem their general-purpose model can’t solve. They can also start with flexible GPU sandbox capacity without long-term commitments or serve an existing model on Hedra’s inference engine.

AI Adoption is rising, yet Readiness is falling

Posted in Commentary with tags on November 10, 2026 by itnerd

Kyndryl today released the findings from its third annual Readiness Report, revealing a widening divide between the returns organizations are seeing from AI and their readiness to manage the risks and demands that come with it.

While 64% of leaders report positive returns on AI investments, up 10 points from 2025, average readiness across external risks fell seven points to 24%. The steepest declines were in readiness for cyber threats and competitive disruption, as AI puts new pressure on business models, technology foundations and how organizations operate.

This year’s report captures the attitudes and actions of 3,700 senior business leaders across 21 countries. The data shows a dichotomy: while organizations are racing to deliver returns on significant AI investments, they simultaneously feel ill-equipped to navigate the implications for the AI era.

The report shows how organizations are making progress and adapting their AI strategies:

  • Significantly fewer describe themselves as in the experimentation phase compared to a year ago (-13 points from 2025, to 49%)
  • Nearly half (48%) substantially changed their AI strategies this year, with implications across tech, people and governance
  • About a quarter (24%) saw an AI investment fail, and 21% canceled a major AI initiative

The transition from experimentation to broader, sustained adoption remains uneven, particularly in the workforce and talent. Organizations have further to go in adapting how people work:

  • Just 27% have formally updated roles and responsibilities around AI
  • 29% have fully implemented change management for AI adoption at their organizations
  • Those who have done both are 28 points more likely to be completely ready for their AI implementation, and are 8 points more likely to report positive ROI on their AI investments

Additional findings in the report include:

Security concerns drive down confidence

For the third year in a row, security concerns topped the list of external risks, and this year contributed most to the overall decline in readiness. Just 26% of firms said they were completely ready for cyberattacks, a drop of 11 points from last year. Three in four leaders say AI helps their organizations identify threats faster, even as confidence in their ability to respond to cyberattacks has declined.

Concern about AI challenges established business models

The second-largest drop in readiness came from leaders’ concerns about competitive disruptions outside of their industry (-10 points from 2025, to 23%). The finding comes as AI agents and other new technologies are being deployed to erode established industry boundaries, and leaders described both challenges of adopting new technologies and questioning established products and business models.

Retailers, for instance, are weighing how to benefit from AI shopping assistants without forfeiting direct customer relationships; software companies face questions about SaaS models as AI rebalances the build-versus-buy equation; and financial institutions are challenged by emerging lending models.

Leaders put a premium on sovereignty, but action remains limited

The research also captures how leaders are considering digital sovereignty in a year marked by greater actions by governments, most visibly in the European Union. Notably, leaders in the EU are slightly less likely to have taken sovereignty-related actions compared to those in the rest of the world. It also captures the trade-offs organizations may need to make: 68% say solutions offering full operational control, should they need it, are worth a premium of 10% or more, and 60% say greater control is worth slower deployment and adoption of advanced capabilities.

Modernized infrastructure isn’t necessarily AI-ready

For the third year in a row, leaders said upgrading their IT infrastructure was the number one action their organizations are taking to mitigate external risks, and 71% rate their infrastructure as mostly or fully modernized. Yet two-thirds of CIOs surveyed think their technology foundations need significant re-architecture before being fully ready for AI at scale. Leaders are also making a distinction between a modern IT estate and one ready for the increased demands of artificial intelligence.

Read the Kyndryl Readiness Report.