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The AI race is accelerating, with tech giants announcing multi-billion-dollar investments to supercharge computing power and infrastructure. From headline making supercomputer projects to record-setting data center expansions, the scale of ambition is unmatched.This surge, supported by billions in investment from governments and corporations, has extended from advanced chipmaking to the expansion of high-powered data centers. The AI market has tripled in size over the past year alone and is expected to quadruple again by 2030.Yet alongside the opportunity lies a growing complexity. AI brings with it a new wave of environmental, ethical, and operational challenges that organizations, particularly their boards, must confront with urgency. While the excitement around AI often focuses on what it can do, there is an equally critical question being: is it being done responsibly?Board visibility and decision-making are becoming ever more important to navigate the opportunities and challenges.But the challenge of keeping pace with AI’s rapid evolution while sustaining progress on long-term sustainability goals remains. Addressing this requires a governance approach that is both agile and strategic, capable of enabling quick decisions, without compromising ethical considerations. One that requires stronger alignment between technology, ESG targets, and long-term value creation.AI – both part of the problem and the solutionAI is already testing the boundaries of many companies’ ESG strategies. We’ve already seen big corporations like the famous GAFAM (Google, Amazon, Meta, Apple, Microsoft) struggling to manage the environmental impact of AI expansion, with some AI investments consuming millions of liters of water or gigawatts of power.That said, organizations are also exploring how AI can actively support in reducing emissions through the additional capabilities it brings to the table.Optimizing energy & asset utilization in data centers through AI driven workload and capacity distribution is one of the promising use cases AI bring to the table.Greater visibility on current status and data-driven insights on sustainability projects with direct prioritization based on ROI and impact, is another one. For example, conversational AI tools designed to help business leaders see and interact with their energy and sustainability data. Tools like this allow companies to ask natural language questions about their energy use and sustainability projects, instantly generating prioritized recommendations to maximize carbon reduction and financial return.These initiatives, among others, show that while AI presents new sustainability challenges, it can also be part of the solution. The central question for companies of all sizes is how to understand how AI can apply to their business model and operating models in a way that bring tangible business value, but also how that usage is meaningful with regards to the resource consumed for it, which are not yet part of the economic equation of AI business models for the time being, without losing eye on the longer term implications of AI.Indeed, responsibly embracing its potential without compromising environmental targets or stakeholder trust is key. Maximizing it’s impact on workforce future proofing & ethical usage with regards to customers are others aspects to look into.Boards have a central role to play in this balancing act. As stewards of long-term strategy, they are uniquely positioned to oversee the development of frameworks that can mitigate AI’s risks- while unlocking its potential to support sustainability goals.However, this requires foresight, subject matter expertise, and adaptability to the sheer speed of evolution we see in the AI space, and hence an updated and adapted governance structures that is adapted to the pace of change.Evolving board structures for effective AI OversightTo manage AI’s risks and opportunities effectively, organizations need to evolve their own internal governance structures. One way companies are doing this is by including dedicated AI or technology oversight committees. These may be supported by panels of external advisors, futurists, ethicists, data scientists who help translate emerging risks into actionable insight.Equally important is the distribution of responsibility across the board, ensuring that AI oversight doesn’t rest with a single function or team. Adapted executive compensation and well defined leading and lagging KPIs, tied to the outcomes and progress sought after are a good way to ensure the above.Education is also a critical enabler here. Many board members (but also executives!) today are not technologists, and that’s entirely reasonable. However, in the context of AI’s growing influence on strategy, risk, and reputation, a baseline understanding of its capabilities and implications is now essential. Ongoing board & executive education, training programs, and engagement with research institutions or industry conferences will help bridge this gap and ensure AI oversight is both informed and effective, beyond the current hype seen in the market.Another practical mechanism for improving oversight is the use of real-time metrics. Much like ESG dashboards that track emissions or water usage, similar systems should be developed for AI-related performance, ethics, and environmental impact. These tools can give board members a clearer view of how AI is evolving inside the business, whether it’s aligning with sustainability commitments or where interventions may be needed.Empowering the ecosystemImportantly, boards must also consider how AI’s effects ripple through their entire value chain, especially for large corporations aiming to reduce Scope 3 emissions.Be it the need for resources the investment in AI will require; to the issues (including Sustainability related ones) companies will be enabled to solve with AI tools. Implications certainly do not limit themselves to the very company’s very own operations but go across. In this context, a company’s business ecosystem is a strategic resource giving access to expertise, applied knowledge, access to markets and customers, as well a common drive for mutual success, and should not be overlooked, but rather engaged and if possible embedded when making plans in order to reach objectives.Building transparent, structured frameworks that boards & executives can look to when shaping responsible AI strategies inclusive of the whole value chain will help maximize outcomes and turn sustainability and AI from siloed priorities into shared ecosystem goals that can drive impact at scale.Future proofing governanceIn the end, the challenges AI presents are significant, and hence need to be anticipated for financial returns and impact maximization. The key lies in understanding the speed and scale at which technology evolves and responding with governance that is equally adaptive, in term of knowledge (or access to it), access to data and insights, and with strong frameworks to maximize value and mitigate risks across the value chain, with strong translation mechanisms into the business operations, including through executive compensation mechanisms.Whether through dedicated oversight committees, external advisory panels, real-time performance dashboards, companies have the tools to lead responsibly. Boards that embrace this moment, investing in education, fostering cross-functional agility, and embedding sustainability at all levels-will be better positioned to harness AI for long-term impact, not just for short-term gains.As we look to the future, one thing is clear: effective AI governance is no longer optional. It is a fundamental requirement for preserving stakeholder trust, delivering on climate commitments, and ensuring that innovation serves the business together with people and the planet.We've featured the best green web hosting.This article was produced as part of TechRadarPro's Expert Insights channel where we feature the best and brightest minds in the technology industry today. The views expressed here are those of the author and are not necessarily those of TechRadarPro or Future plc. If you are interested in contributing find out more here: https://www.techradar.com/news/submit-your-story-to-techradar-pro

The cybersecurity landscape continues to evolve, with new threats and solutions appearing every day. But the rate of change in the past two years, intensified by the mass implementation of AI, has seen meteoric growth in the number of cyber-attacks. Unfortunately for businesses and their IT security teams, AI-driven attacks are becoming more sophisticated, and businesses must rethink their security strategies to stay resilient in the face of changing cyber threats.Accelerating security and networking enhancements will continue to take center stage for UK organizations in 2025, but added complexity can slow enterprises down. Adding simplicity as a key vector for networking and security posture optimization is key to successful, secure connectivity strategies for the year ahead.The growing threat of AI-powered attacksIn today’s threat landscape, cybercriminals are leveraging artificial intelligence to orchestrate attacks with unprecedented speed and accuracy. AI’s capability to identify vulnerabilities, craft hyper-realistic phishing scams, and execute complex malware campaigns is increasing the difficulty of threat detection and mitigation. One of the most concerning trends is the rise of “deep phishing” attacks, where AI-generated deepfake content is used to impersonate trusted individuals and deceive employees into revealing sensitive information.Cyber breaches are already a top concern for organizations, downtime prevention and data protection taking center stage, but what is more unsettling is not being aware when a breach occurs. The longer an attacker remains in the system - intruder dwell times can range from several weeks to months and even over a year - the more costly and damaging these “silent breaches” become. Being unable to identify when a breach took place means that restoring systems to a safe version is much harder.To counteract these risks, organizations need to deploy security tools capable of recognizing behavioral anomalies and responding in real time to potential breaches.AI cyber defense - the other side of the cybersecurity coinAs the advent of AI presents new security challenges, it also offers us the tools to strengthen cyber defenses. AI-based networking assistants and correlation engines are gaining traction, providing advanced capabilities in real-time threat detection and response.The potential for human-supported with various degrees of AI autonomy for secure networking deployments is being explored, which could change how enterprises approach security and networking. By leaning into AI-led penetration testing, automated vulnerability mitigation, and self-healing network infrastructure AI is revolutionizing security strategies.With intuitive AI tools, security teams can gain deeper insights into vulnerabilities and rapidly address potential threats. This will be particularly crucial as UK businesses face a growing cybersecurity skills gap, requiring intelligent automation to bridge expertise shortages and upskill quickly. In 2025, we will see more businesses will turn to AI-driven security intelligence tools that allow teams to query complex security data using natural language interfaces.The democratization of security intelligence through intuitive AI tools will empower non-experts to play an active role in cyber threat mitigation. This shift will be instrumental in fostering a culture of shared responsibility between IT and security teams, enhancing collaboration and improving overall security outcomes.The shift from prevention to incident responseWhile traditional security strategies have focused on threat prevention, 2025 will also see a distinct shift towards rapid incident response. Companies will do well to prioritize detecting and containing breaches to augment preventive measures, increasingly allocating budget resources to solutions that enable swift incident identification and response.This shift reflects an understanding that breaches cannot always be prevented, and in reality, should be expected. Instead, mitigating their impact through rapid detection and containment will be the key to minimizing damage.One development that is representing this shift is the adoption of self-healing security systems. These AI-powered systems can autonomously detect, analyze, and respond to threats, significantly reducing response times and mitigating damage.Indeed, using machine learning, self-healing networks can dynamically adjust a company’s cybersecurity measures based on real-time risk assessments. This self-healing security will be a game-changer, as automated incident response will enable businesses to bolster their security teams and protect their assets. AI and human partnerships can help businesses strengthen their overall resilience when facing a cyber-attack.So, what’s next for businesses navigating the threat landscape?As cyber threats become more advanced, businesses must embrace a holistic approach to security, that can introduce simplicity for observability, control, management and response. Consolidating cyber defense, network and data management, and operational resilience into a single, integrated platform will help organizations navigate the increasingly turbulent threat landscape efficiently.This access to and complete visibility over these systems and tools means that teams can identify risks and opportunities as a passive activity, and invest time into value-driving initiatives, as opposed to combing through multiple applications for status updates.Ultimately, 2025 will be the year where more AI-driven corporate security strategies move from theory to practice. Organizations that proactively adapt to these emerging trends will be better equipped to withstand the ever-evolving challenges of the digital age. For businesses, staying ahead of the curve will require embracing automation, strengthening incident response capabilities, and continuing to hold security as an organizational priority.We've featured the best encryption software.This article was produced as part of TechRadarPro's Expert Insights channel where we feature the best and brightest minds in the technology industry today. The views expressed here are those of the author and are not necessarily those of TechRadarPro or Future plc. If you are interested in contributing find out more here: https://www.techradar.com/news/submit-your-story-to-techradar-pro

Security researchers spot new campaign targeting Docker instancesThe attack deploys a cloud crypto miner, and a worm for further propagationThe miner generates the Dero currencyHackers are building a botnet out of misconfigured Docker API instances and using it to mine the Dero cryptocurrency, experts have warned.Security researchers from Kaspersky reported finding a “container zombie outbreak” that started with an exposed Docker API.“This led to the running containers being compromised and new ones being created not only to hijack the victim’s resources for cryptocurrency mining but also to launch external attacks to propagate to other networks,” they explained.Negotiations ongoing?In this zombie outbreak, the “patient zero” is a misconfigured API that’s left open to the internet. There, the attackers deploy a piece of malware disguised as ‘nginx’, a high-performance, open-source web server and reverse proxy server.The malware scans for vulnerable instances and infects them, and then creates new malicious containers and forces existing ones to mine Dero. At the same time, it continues to spread to other systems.This is a two-step process, Kaspersky explains. Nginx is the propagation tool that scans for new victims, with the miner being a cloud-based solution. Both components are written in Golang, which makes them rather difficult to detect.Kaspersky also says that unlike traditional cryptojacking campaigns, this one doesn’t rely on a command & control (C2) server, but instead spreads autonomously, like a worm.Users running Docker should check their API settings, and make sure it’s not exposed to the internet. Furthermore, they should fortify their login credentials, and perform regular security audits and monitoring.While cybercriminals usually hijack servers to mine Monero with the XMRig, this is not the first time researchers spotted Dero. According to The Hacker News, CrowdStrike saw Kubernetes clusters being targeted back in March 2023, and a subsequent iteration of the same campaign was spotted by Wiz in June 2024.Similar to Monero, Dero is also a privacy-focused Layer 1 blockchain, built to support decentralized applications (dApps) and smart contracts.Via The Hacker NewsYou might also likeNew cryptojacking attacks target uncommon AWS instancesTake a look at our guide to the best authenticator appWe've rounded up the best password managers

Sony's latest Days of Play sale has just kicked off. It features deals aplenty on PlayStation 5 consoles, accessories and games, as well as PS Plus subscriptions. One of the more intriguing discounts is for the PS5 DualSense Edge. The premium controller has dropped by 15 percent from $200 to $169. That's the lowest price to date for the peripheral. The deal is available on Amazon and from Sony directly.

The layout apes that of the regular DualSense controller, but there's a lot more going on with the Edge. For instance, there are function buttons below each thumbstick that allow you to swap between button configurations (which you can customize at any time in the PS5 settings). On the rear, there are switches that enable you to change the pull length of the shoulder triggers. There are also rear paddles, and you can choose between a set of levers or shorter half-domes.

It's possible to swap out the thumbsticks as well and, because they attach to the controller magnetically, it's a cinch to do so. Other than the standard nubs, you can choose between short-stemmed convex and long-stemmed convex options. There's also a cable lock that prevents you from accidentally removing the USB-C charging cable by accident.

You might want to keep that cable plugged in. One of the major downsides of the DualSense Edge is its battery life. In our testing, we got around five to six hours of use on a single charge, less than the six or seven we get with the standard DualSense.

Last be not least, the DualSense Edge comes with a hardshell carrying case. There's even a passthrough flap through which you can thread a USB-C cable to charge the controller while it's cocooned in the case.

There are, of course, lots of other intriguing discounts in the Days of Play sale, including one on the standard PS5 DualSense controller. That has dropped to $55, which is $20 off the list price.

Follow @EngadgetDeals on X for the latest tech deals and buying advice.This article originally appeared on Engadget at https://www.engadget.com/deals/playstations-dualsense-edge-wireless-controller-is-cheaper-than-ever-143629820.html?src=rss