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The Latest Cybersecurity News & Insights From Around The World
Securing the Energy Sector: The Backbone of the UK's AI Ambitions
The UK’s ambition to become a global leader in artificial intelligence (AI) marks a transformative era. However, the foundation of this progress—the energy sector—has emerged as a prime target for cybercriminals. While AI-driven technologies offer greater efficiency and resilience, they also heighten the sector’s vulnerability to cyberattacks. To sustain the nation’s AI advancements, ensuring the security of the energy infrastructure must be a critical priority.
Strategies to Mitigate Risks in AI-Driven Medical Note Systems
AI isn't just changing how healthcare works-it's redefining how care is delivered. With medical note systems powered by AI, clinicians are finally getting a break from endless documentation. But with that freedom comes a new set of challenges: accuracy, data safety, and the delicate balance between tech and human judgment. If you're adopting or managing these tools, it's not just about innovation-it's about protecting what matters most. Read on to discover the key strategies every healthcare leader must know to implement AI documentation systems responsibly and effectively.
AI in Cybersecurity: Smarter Threat Detection & Ethics | Foresiet
With an information era in which information equals money and threats change daily, Artificial Intelligence (AI) has become a frontline watchman of the world against cyberattacks. From credential stuffing discovery to darknet monitoring capabilities, AI is empowering security teams with the capability to predict, identify, and defeat threats quicker than ever before. But while AI tools redefine defense systems, they also introduce new challenges of transparency, compliance, and ethical governance.
Deepfake Threats in GenAI Era: Cyber Resilience at Work
GenAI is transforming industries with record levels of innovation. But the new cyber threats it introduces also introduce a whole new level of worry. Deepfakes are perhaps the most unsettling trend here: hyper-realistic audio and video fakes that can deceive even the most trained eyes and ears. As deepfake tech becomes more accessible and advanced, it's time for organizations to prepare their workforce to combat these new threats.
Securing Identities for the Agentic AI Landscape
Twenty-five years ago, we set out to tackle one of the most challenging problems in identity security: Securing privileged access. Today, CyberArk takes another giant step forward, extending our leading identity security to the rapidly evolving challenge of securing AI agents. And this is no small undertaking. Due to their autonomous mandate, AI agents are growing to be among the most privileged machine identities that enterprises have ever seen.
AI and AppSec: A Partnership to Prevent Breaches
As software development accelerates, cyberattacks are also growing more sophisticated. The result? Traditional security methods are often rendered ineffective. With reactive strategies and stretched resources, application security (AppSec) teams are under increasing pressure to secure apps without sacrificing speed and innovation. Artificial intelligence (AI) has quickly become the frontrunner solution, automating labor-intensive tasks, improving accuracy, and enabling proactive security measures.
AI Is the New Trust Boundary: STL TechWeek Reveals the Risk Shift
At St. Louis TechWeek 2025, AI took center stage as industry thought leaders shared sessions warning about inputs, data health, and how agents are the new attack surface.
Ongoing TPRM Success: Continuous Security Monitoring with AI
All security professionals know third-party risk management doesn’t stop after one risk assessment. What about the next vendor? Or the future risks the vendors you’ve already evaluated will inevitably endure? While completing even a single risk assessment can feel like an arduous journey when done manually, all successful TPRM programs continue long after assessment.
ISO 42001:2023 Certification for Ethical AI Governance
ISO 42001 takes a risk-based approach and structure like other ISO standards and covers: with a focus on AI governance. Under the Annex A, it provides a list of controls, used to manage AI risks and ensure responsible deployment of AI systems. Under Annex B, it explains how to implement these controls, giving organisations the flexibility to adapt them based on their specific needs.