Artificial intelligence (AI) and machine learning (ML) are predicted to have a significant impact on future industrial ...

In this special edition, Tenable leaders forecast key 2026 trends, including: AI will make attacks more plentiful and less costly; machine identities will become the top cloud risk; preemptive cloud ...

TNO’s methodologies and tools embed autonomous cyber resilience (ACR) into critical digital systems for improved resilience ...

That’s the aim of predictive cyber resilience (PCR)—an emerging approach to security built on intelligence, automation and adaptability. It introduces a vision of self-defending systems capable of ...

Phoenix Contact, Softing and Mitsubishi/Iconics show how basic best practices provide a solid foundation for cybersecurity ...

With the increasing use of automated systems comes a greater risk of outside threats interfering with critical operations. Digitization engenders the threat that systems can be compromised, and new ...

Demonstrating and applying control theory has long presented a complex challenge, encompassing a broad range of engineering ...

Expect significant innovations in AI-driven cyber tools and a closer convergence between cybersecurity and geopolitics, they ...

Outlining real-world attacks against the water, oil and gas, and agriculture industries, Canada’s Centre for Cyber Security highlights the risks of internet-exposed ICS devices. Security experts have ...

The spectacular, but ultimately harmless, hacking of the My Volkswagen app by an Indian cyber researcher last year continues to raise serious questions about cyber security for millions of connected ...

The widespread adoption of AI has revolutionized how cyber threats are created and executed. Traditional security methods, such as signature-based antivirus solutions, rule-based intrusion detection ...