Whilst the EU is committed to renewable energy, most solar power systems come from China. Brussels fears that this could pose a security threat to the electricity grid and is therefore amending the rules governing subsidies for solar parks.

#China #SolarPower #CyberSecurity #dwbusiness

For more news go to: http://www.dw.com/en/

Follow DW on social media:
►Instagram: https://www.instagram.com/dwnews
►TikTok: https://www.tiktok.com/@dwnews
►Facebook: https://www.facebook.com/deutschewellenews/
►Twitter: https://twitter.com/dwnews

Für Videos in deutscher Sprache besuchen Sie: https://www.youtube.com/dwdeutsch

Subscribe: https://www.youtube.com/user/deutschewelleenglish?sub_confirmation=1

The post Is there a Chinese cyber threat to EU solar energy? | DW News appeared first on MASSIVE News.

This is why it’s so important that defenders have access to AI capabilities, so they can be leveraged to harden and protect systems before that same AI is used to attack them.

For this reason, the Five Eyes statement warns that AI is dramatically shrinking the time between when a vulnerability is first discovered and when it is first exploited in an attack. Defenders can no longer afford to wait weeks before deploying software patches.

There is much hype and uncertainty surrounding AI and cybersecurity right now. This latest statement comes little over a week since the US government caused frontier AI provider Anthropic to block access to Mythos and Fable, its most advanced AI technology, over fears they might be misused by foreign adversaries to attack US government systems.

A call to arms

Working out the best methods to do this is what I have devoted my research career to.

The joint statement was issued by the heads of the national cybersecurity agencies of the Five Eyes. It warns that AI is dramatically shifting cyber risk and spells out how defenders must act to secure their organisations.

This is why it’s so important for cyber defenders to keep up to date with deploying software patches. These are small modifications to system software that close off known vulnerabilities.

A blanket export ban on advanced AI models is likely to be counterproductive. Open-source AI models such as DeepSeek lag only months behind the most advanced models of OpenAI and Anthropic. Recent research suggests that much of that gap can be closed by pairing less powerful AI models with complementary technologies.

Defenders should therefore assume their adversaries already have access to AI on par with that used for cyber defence. Only by investing in strong foundations can they hope to escape the cat-and-mouse AI cyber arms race.

In the 2000s the rise of cyber exploit kits allowed defenders to better test their systems but also enabled any disaffected teenager with an internet connection to become a “script kiddie” hacker, leading to arms controls debates a decade later.

What can defenders do?

They also use evidence-based processes for tracking known vulnerabilities in their systems and prioritising which are most important to patch. These are backed up by reliable processes for rapidly testing and rolling out software patches, as well as for responding to cyber breaches and incidents.

This doesn’t mean AI can’t play an important role for cyber defence – just that it should augment rather than replace strong cyber fundamentals.

AI that can automatically exploit software vulnerabilities is just as useful to defenders in helping them to confirm their software has been correctly patched. AI that can map and discover sensitive assets within a computer network is useful for both offensive and defensive purposes.

When AI makes finding software vulnerabilities cheap, the next generation of software needs to be engineered to be secure by construction.

The Five Eyes report notes cyber fundamentals are crucial and encourages organisations to use AI to boost defences. But deploying AI without first investing in cybersecurity basics would be a mistake.

Cybersecurity agencies of Australia, Canada, New Zealand, the United Kingdom and the United States issued a call to action on Monday for cyber defenders. The message was clear: artificial intelligence (AI) is a powerful weapon for cyber attackers; defenders must act urgently to improve their cyber defences.

The role for AI in cyber defence

Before reaching for AI, defenders should first invest in their fundamentals. Otherwise, they are effectively deploying a robot guard dog to defend an unlocked door.

The rise of AI presents a similar dilemma for regulators.

In the 1990s, society grappled with how to regulate the encryption that protects online communication from adversaries but also allows them to avoid law enforcement.

AI benefits attackers and defenders alike. An AI model that can help attackers find software vulnerabilities can also help defenders fix those same vulnerabilities.

Can regulation help?

Working out how to balance the competing benefits and risks of new cybersecurity technology is nothing new.

AI is enabling adversaries to find flaws orders of magnitude faster, as well as to work out how to exploit those flaws to carry out attacks.

One way this is happening is through automated vulnerability discovery and exploitation. No software is perfect. Adversaries leverage subtle design or implementation flaws in a system’s software to break into that system. They then take control of it and use it as a staging ground to launch further attacks.

The 2010s gave us blockchain technologies such as Bitcoin and other cryptocurrencies, which were built on defensive cyber technologies but whose lasting legacy remains the rise of ransomware attacks and online illicit marketplaces.

The cyber defenders who will be able to weather the AI storm will be those who already have mature practices. They know exactly what assets they need to protect, which systems in their organisation are exposed to attack, and what defences are in place to protect exposed systems. They also know to measure defence effectiveness and determine where defences are missing.

It notes how powerful AI is already helping adversaries carry out more sophisticated attacks more quickly.

In this torrid environment, it’s important for cyber defenders to look past the noise and prioritise what is truly important in protecting their systems.

The post Spy agencies say AI can help combat AI cyber risks. But don’t forget the basics appeared first on MASSIVE News.

Frontier AI is poised to change cybersecurity faster than most organizations can adapt. It’s accelerating vulnerability discovery, which puts new pressure on security teams to handle more vulnerabilities, in less time, with workflows built for much slower technology.

The primary challenge of the frontier AI era is not the increase in vulnerabilities. It’s understanding which exposures are most critical and how to address them before adversaries target them.

That’s why we’re making CrowdStrike Falcon® Exposure Management available to organizations that have not standardized on CrowdStrike endpoint solutions. This widens the accessibility of CrowdStrike’s exposure management capabilities to any third-party endpoint environment. Organizations can gain the exploitability-driven prioritization and continuous visibility they need to face frontier AI security challenges without changing their existing endpoint stack.

Built to Support Frontier AI Readiness

In our Five Steps for Frontier AI Security Readiness white paper, CrowdStrike outlines the actions organizations must take to prepare for a world in which AI accelerates cyber risk. Falcon Exposure Management is built to help organizations take the first two steps:

Focus on exploitability: As frontier AI drives a surge in vulnerability discovery, traditional prioritization models will not narrow the funnel enough. Security teams cannot afford to treat every CVE as equal. They need to know which vulnerabilities are exploitable in their environment, and which exposures adversaries are most likely to target, in order to determine which issues to address first.

Continuously monitor for vulnerable assets: Periodic scanning is too slow for the AI era. By the time the next scan runs, new vulnerabilities may already be discovered, weaponized, and exploited. Organizations need continuous visibility across endpoints, external assets, cloud, network, OT/IoT, and emerging AI components to understand where exposure exists in real time.

Cut Through the Coming Vulnerability Overload

Frontier AI is expected to dramatically increase the volume of discovered vulnerabilities, which would create a scale problem that legacy vulnerability management approaches weren’t designed to handle.

At the center of Falcon Exposure Management is the Exposure Prioritization Agent, which evaluates every vulnerability on every asset against three critical questions:

• Is it exploitable in this environment?
• What is the business impact if it is exploited?
• Does CrowdStrike threat intelligence indicate active adversary interest?

By combining exploitability conditions, asset criticality, attack path analysis, and real-world adversary intelligence, the Exposure Prioritization Agent produces a contextual risk score that helps teams focus on what is most likely to lead to a breach. This allows them to reduce noise, focus on the exposures that matter most, and scale their programs without adding headcount.

See the Exposure Prioritization Agent in action:

Falcon Exposure Management also helps teams move faster with the Exposure Summary Agent, which turns complex vulnerability data into clear, actionable guidance. Rather than forcing analysts to manually research technical details across multiple sources, it provides AI-enhanced summaries that include threat context, exploitation requirements, and remediation guidance. This saves valuable analyst time while improving decision-making.

See the Exposure Summary Agent in action:

Falcon Exposure Management is built to work across organizations’ existing environments. By combining CrowdStrike telemetry with third-party asset and vulnerability data, it creates a single, real-time view of exposure across the organization. It connects prioritized findings to CrowdStrike Falcon® Fusion SOAR and patching workflows so teams can quickly move from visibility to remediation. 

Start Now to Prepare for What’s Next

Falcon Exposure Management helps organizations identify what is exploitable, continuously understand where exposure exists, and begin securing the expanding AI attack surface — whether or not they already use CrowdStrike endpoint solutions. 

This gives security teams a faster path to modern exposure management and a stronger foundation for frontier AI readiness. In a world where vulnerabilities will multiply faster and AI-driven risk will spread wider, the successful organizations will be the ones that can focus first on what matters most.

Additional Resources

• Download our guide to explore the five steps for frontier AI security readiness.
• Learn how Falcon Exposure Management can help you discover, prioritize, and manage vulnerability exposure risk in your environment. 
• To learn more about Falcon Exposure Management features, visit our exposure management YouTube channel.
• Fal.Con 2026 registration is now open. Join us in Las Vegas to explore what’s next in cybersecurity.

The post Falcon Exposure Management Now Available for Third-Party Environments appeared first on MASSIVE News.