In this special guest feature, Rohit Gupta of Palerra discusses some specific new uses of machine learning technology—especially as it pertains to cybersecurity. Rohit founded Palerra in 2013 with the ...

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

When it comes to cybersecurity, organizations are constantly looking for new ways to improve their defenses. A promising area of research is combining cybersecurity with machine learning (ML). This ...

Raju Narayana Swamy calls for proactive cyber security at Bodhi 2026 in Kochi, urging AI-driven defence systems and ...

Introduction In today’s digital age, organizations face an escalating wave of cyber threats that can compromise sensitive ...

The pace of digital innovation is rapidly increasing, and emerging technologies powered by artificial intelligence and machine learning are changing the digital landscape. Alongside advancements, ...

In a constantly evolving cyberthreat landscape where firewalls and antiviruses have become old hat, organizations must adopt more technologically advanced ways to protect crucial data. Advanced ...

From SOCs to smart cameras, AI-driven systems are transforming security from a reactive to a predictive approach. This evolution unites physical and cyber domains, improves situational awareness, and ...

Using an internally developed machine learning model trained on log data, the information security team for a French bank found it could detect three new types of data exfiltration that rules-based ...

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 ...

Here are some of the ways in which machine learning has contributed to cybersecurity: 1. Malware detection: Machine learning algorithms can analyze large volumes of data to identify patterns that are ...