Managing Cyber Risk in 2026 With Incident Response Training and Drills


Cybersecurity was once viewed as a technology issue that was addressed behind the scenes by the IT department. This is no longer the case. In fact, by 2026, cyber risk will be something that every organisation must think about at a leadership level. A cybersecurity incident has the ability to disrupt business operations, compromise sensitive data, destroy customer loyalty, and create regulatory issues that last far longer than the underlying technology issue.

But, due to AI transformation, many organisations are exploring modern AI tools to improve their security capabilities. Their concern is not the number of cyber attacks; it is the rate at which they are being executed.

This is also challenging for security teams that are heavily dependent on cloud technology, digital supply chains, and technology that utilises automated systems. This has created a world where teams are dealing with cyber incidents that they never expected.

The Expanding Cyber Threat Landscape

A few years ago, the main concerns of the majority of firms were monitoring network activity and implementing security software. The rationale behind this was quite simple: if we build a robust digital boundary, attackers will remain outside that boundary.

The world has changed a great deal since then. Employees work from home networks; partners have integrated their systems into our own via APIs; our business operations utilise a number of different cloud services. Each additional connection into our digital landscape is another surface area for attackers to aim at.

In response to these changes, cyber threats have moved from being a technology issue alone to a business issue. Senior management, compliance groups, legal groups, and communications groups all have a role to play in the event of a significant threat. If we are not prepared to face a threat, then we are essentially risking making the problem worse.

In addition to this, security groups are exploring the use of new AI technology to aid them in the fight to detect cyber attacks more quickly. With the aid of machine learning technology, we can analyze enormous amounts of network data to identify patterns that might have gone unnoticed. This technology is just as useful to hackers as it is to security groups.

Cyber Risk as a Leadership and Business Issue

The digital systems become an integral part of day-to-day activities, and cyber threats are no longer the concern of IT groups only. Today, cyber threats are an organizational issue.

The role of senior management groups, compliance groups, legal groups, and even communication groups is also important while dealing with any serious cyber threat. If companies are not prepared to handle such situations properly, the unavailability of coordination can lead to an even worse cyber threat.

Teams can seek structured advice on how to handle cyber threats with expert guidance from Cyber Management Alliance.

The Role of Artificial Intelligence in Modern Cybersecurity

Many companies are using AI capabilities to enhance their entire cybersecurity operations due to the continuous rise of new cyberthreats. Security teams are also looking into ways to employ AI skills to detect threats more effectively. For instance, millions of network data points can be examined and analyed by AI-driven machine learning. So, businesses can identify values or patterns that can point to a potential threat.

The usefulness of AI capabilities keeps rising as the digital surroundings get more complicated. But, platforms like AIChief are showcasing several new types of AI tools that may help to understand the cybersecurity issues, threat detection, and much more.

Unfortunately, in addition to providing benefits for businesses, AI capabilities are also providing new opportunities for cybercriminals. The use of automated scripts, adaptive AI techniques, and intelligence-based reconnaissance methods will make it even easier for attackers and criminals to quickly carry out an attack against specified organizations while increasing the effectiveness of their efforts. Because of the technological capabilities of artificial intelligence, many businesses are evolving their security strategy.
 

Why Traditional Cybersecurity Defences Are No Longer Enough

For a long time, traditional cybersecurity methods have concentrated on stopping assaults before they start. Firewalls, endpoint protection software, and intrusion detection systems are some of the measures that are commonly found within a company’s infrastructure.

However, depending on these measures alone can lead to a false sense of security. Modern cyber attacks are often carried out by targeting people rather than machines.

The Importance of Cyber Incident Preparedness

In this digital era, cybersecurity planning is necessary. This is mainly due to difficulties in understanding who to make decisions with, how to communicate information internally, and what to do in such situations.

These delays often lead to more harm from a cyber incident and extend the period required for recovery. Therefore, businesses should be aware of how to create an efficient plan for responding to cyber incidents in order to reduce future risks.

Preparing for Cyber Risk in 2026

AI is getting advanced and better every day, so is the risk. This is because every year, new technologies, tools, and systems will be incorporated into the operations of businesses, and as such, new risks will be introduced. It means that organizations are no longer able to view cybersecurity as an issue that only the IT department handles behind the scenes.

In other words, to manage risks today, security teams will need to involve everyone within the organization when something goes wrong. The leadership team, operations team, and communication team are involved when something goes wrong. The businesses that are better prepared to deal with these issues are those that are well-equipped to deal with them.

As we continue into 2026, the resilience of enterprises will not be measured by the quality of tools they use to deal with risks but by how well they are prepared to deal with these risks.

 





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As I’m writing this, NVIDIA is the largest company in the world, with a market cap exceeding $4 trillion. Team Green is now the leader among the Magnificent Seven of the tech world, having surpassed them all in just a few short years.

The company has managed to reach these incredible heights with smart planning and by making the right moves for decades, the latest being the decision to sell shovels during the AI gold rush. Considering the current hardware landscape, there’s simply no reason for NVIDIA to rush a new gaming GPU generation for at least a few years. Here’s why.

Scarcity has become the new normal

Not even Nvidia is powerful enough to overcome market constraints

Global memory shortages have been a reality since late 2025, and they aren’t just affecting RAM and storage manufacturers. Rather, this impacts every company making any product that contains memory or storage—including graphics cards.

Since NVIDIA sells GPU and memory bundles to its partners, which they then solder onto PCBs and add cooling to create full-blown graphics cards, this means that NVIDIA doesn’t just have to battle other tech giants to secure a chunk of TSMC’s limited production capacity to produce its GPU chips. It also has to procure massive amounts of GPU memory, which has never been harder or more expensive to obtain.

While a company as large as NVIDIA certainly has long-term contracts that guarantee stable memory prices, those contracts aren’t going to last forever. The company has likely had to sign new ones, considering the GPU price surge that began at the beginning of 2026, with gaming graphics cards still being overpriced.

With GPU memory costing more than ever, NVIDIA has little reason to rush a new gaming GPU generation, because its gaming earnings are just a drop in the bucket compared to its total earnings.

NVIDIA is an AI company now

Gaming GPUs are taking a back seat

A graph showing NVIDIA revenue breakdown in the last few years. Credit: appeconomyinsights.com

NVIDIA’s gaming division had been its golden goose for decades, but come 2022, the company’s data center and AI division’s revenue started to balloon dramatically. By the beginning of fiscal year 2023, data center and AI revenue had surpassed that of the gaming division.

In fiscal year 2026 (which began on July 1, 2025, and ends on June 30, 2026), NVIDIA’s gaming revenue has contributed less than 8% of the company’s total earnings so far. On the other hand, the data center division has made almost 90% of NVIDIA’s total revenue in fiscal year 2026. What I’m trying to say is that NVIDIA is no longer a gaming company—it’s all about AI now.

Considering that we’re in the middle of the biggest memory shortage in history, and that its AI GPUs rake in almost ten times the revenue of gaming GPUs, there’s little reason for NVIDIA to funnel exorbitantly priced memory toward gaming GPUs. It’s much more profitable to put every memory chip they can get their hands on into AI GPU racks and continue receiving mountains of cash by selling them to AI behemoths.

The RTX 50 Super GPUs might never get released

A sign of times to come

NVIDIA’s RTX 50 Super series was supposed to increase memory capacity of its most popular gaming GPUs. The 16GB RTX 5080 was to be superseded by a 24GB RTX 5080 Super; the same fate would await the 16GB RTX 5070 Ti, while the 18GB RTX 5070 Super was to replace its 12GB non-Super sibling. But according to recent reports, NVIDIA has put it on ice.

The RTX 50 Super launch had been slated for this year’s CES in January, but after missing the show, it now looks like NVIDIA has delayed the lineup indefinitely. According to a recent report, NVIDIA doesn’t plan to launch a single new gaming GPU in 2026. Worse still, the RTX 60 series, which had been expected to debut sometime in 2027, has also been delayed.

A report by The Information (via Tom’s Hardware) states that NVIDIA had finalized the design and specs of its RTX 50 Super refresh, but the RAM-pocalypse threw a wrench into the works, forcing the company to “deprioritize RTX 50 Super production.” In other words, it’s exactly what I said a few paragraphs ago: selling enterprise GPU racks to AI companies is far more lucrative than selling comparatively cheaper GPUs to gamers, especially now that memory prices have been skyrocketing.

Before putting the RTX 50 series on ice, NVIDIA had already slashed its gaming GPU supply by about a fifth and started prioritizing models with less VRAM, like the 8GB versions of the RTX 5060 and RTX 5060 Ti, so this news isn’t that surprising.

So when can we expect RTX 60 GPUs?

Late 2028-ish?

A GPU with a pile of money around it. Credit: Lucas Gouveia / How-To Geek

The good news is that the RTX 60 series is definitely in the pipeline, and we will see it sooner or later. The bad news is that its release date is up in the air, and it’s best not to even think about pricing. The word on the street around CES 2026 was that NVIDIA would release the RTX 60 series in mid-2027, give or take a few months. But as of this writing, it’s increasingly likely we won’t see RTX 60 GPUs until 2028.

If you’ve been following the discussion around memory shortages, this won’t be surprising. In late 2025, the prognosis was that we wouldn’t see the end of the RAM-pocalypse until 2027, maybe 2028. But a recent statement by SK Hynix chairman (the company is one of the world’s three largest memory manufacturers) warns that the global memory shortage may last well into 2030.

If that turns out to be true, and if the global AI data center boom doesn’t slow down in the next few years, I wouldn’t be surprised if NVIDIA delays the RTX 60 GPUs as long as possible. There’s a good chance we won’t see them until the second half of 2028, and I wouldn’t be surprised if they miss that window as well if memory supply doesn’t recover by then. Data center GPUs are simply too profitable for NVIDIA to reserve a meaningful portion of memory for gaming graphics cards as long as shortages persist.


At least current-gen gaming GPUs are still a great option for any PC gamer

If there is a silver lining here, it is that current-gen gaming GPUs (NVIDIA RTX 50 and AMD Radeon RX 90) are still more than powerful enough for any current AAA title. Considering that Sony is reportedly delaying the PlayStation 6 and that global PC shipments are projected to see a sharp, double-digit decline in 2026, game developers have little incentive to push requirements beyond what current hardware can handle.

DLSS 5, on the other hand, may be the future of gaming, but no one likes it, and it will take a few years (and likely the arrival of the RTX 60 lineup) for it to mature and become usable on anything that’s not a heckin’ RTX 5090.

If you’re open to buying used GPUs, even last-gen gaming graphics cards offer tons of performance and are able to rein in any AAA game you throw at them. While we likely won’t get a new gaming GPU from NVIDIA for at least a few years, at least the ones we’ve got are great today and will continue to chew through any game for the foreseeable future.



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