Hackers are abusing n8n workflows to deliver malware and evade detection, according to Cisco Talos, using trusted automation ...

In today’s digital landscape, cyber threats are evolving at an unprecedented pace. Traditional security measures struggle to keep up with ...

Gartner has predicted that by 2030, over 50 per cent of IT security spending will be allocated to pre-emptive cybersecurity ...

Abstract: In the evolving landscape of sustainable digital technologies, safeguarding cyber-ecosystems has become a critical priority. Traditional machine learning-based malware detection systems are ...

Traditional security setups focus on walls around your network. They block outsiders at the gate. But intelligent cloud apps run AI and ML ...

The Microsoft Defender Security Research Team uncovered a sophisticated macOS intrusion campaign attributed to the North ...

Machine learning is helping cyber teams process telemetry at scale to more quickly identify behavioral anomalies that might ...

The China-backed threat group is targeting AWS, Google, Azure, and Alibaba cloud environments and using typosquatting to ...

In the SOC of the future, autonomous defense moves at machine speed, agents add context and coordination, and humans focus on ...

Cyber threats are increasing in speed and complexity, driving the need for advanced detection techniques. Machine learning is ...

Over a dozen companies have suffered data theft attacks after a SaaS integration provider was breached and authentication ...

Researchers in Morocco analyzed cybersecurity challenges in smart grids, highlighting AI-driven detection and defense strategies against threats like distributed denial-of-service, false data ...