AI in Cybersecurity | Breaking Cybersecurity News | The Hacker News

Security Orchestration, Automation, and Response (SOAR) was introduced with the promise of revolutionizing Security Operations Centers (SOCs) through automation, reducing manual workloads and enhancing efficiency. However, despite three generations of technology and 10 years of advancements, SOAR hasn't fully delivered on its potential, leaving SOCs still grappling with many of the same challenges. Enter Agentic AI—a new approach that could finally fulfill the SOC's long-awaited vision, providing a more dynamic and adaptive solution to automate SOC operations effectively. Three Generations of SOAR – Still Falling Short SOAR emerged in the mid-2010s with companies like PhantomCyber, Demisto, and Swimlane, promising to automate SOC tasks, improve productivity, and shorten response times. Despite these ambitions, SOAR found its greatest success in automating generalized tasks like threat intel propagation, rather than core threat detection, investigation, and response (TDIR) workloads....

In 2023, no fewer than 94 percent of businesses were impacted by phishing attacks, a 40 percent increase compared to the previous year, according to research from Egress . What's behind the surge in phishing? One popular answer is AI – particularly generative AI, which has made it trivially easier for threat actors to craft content that they can use in phishing campaigns, like malicious emails and, in more sophisticated cases, deepfake videos . In addition, AI can help write the malware that threat actors often plant on their victims' computers and servers as part of phishing campaigns. Phishing as a Service , or PhaaS, is another development sometimes cited to explain why phishing threats are at an all-time high. By allowing malicious parties to hire skilled attackers to carry out phishing campaigns for them, PhaaS makes it easy for anyone with a grudge – or a desire to exfiltrate some money from unsuspecting victims – to launch phishing attacks. Phishing has become agil...

In recent years, artificial intelligence (AI) has begun revolutionizing Identity Access Management (IAM), reshaping how cybersecurity is approached in this crucial field. Leveraging AI in IAM is about tapping into its analytical capabilities to monitor access patterns and identify anomalies that could signal a potential security breach. The focus has expanded beyond merely managing human identities — now, autonomous systems, APIs, and connected devices also fall within the realm of AI-driven IAM, creating a dynamic security ecosystem that adapts and evolves in response to sophisticated cyber threats. The Role of AI and Machine Learning in IAM AI and machine learning (ML) are creating a more robust, proactive IAM system that continuously learns from the environment to enhance security. Let's explore how AI impacts key IAM components: Intelligent Monitoring and Anomaly Detection AI enables continuous monitoring of both human and non-human identities , including APIs, service acc...