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As a relatively new security category, many security operators and executives I've met have asked us "What are these Automated Security Validation (ASV) tools?" We've covered that pretty extensively in the past, so today, instead of covering the " What is ASV?" I wanted to address the " Why ASV?" question. In this article, we'll cover some common use cases and misconceptions of how people misuse and misunderstand ASV tools daily (because that's a lot more fun). To kick things off, there's no place to start like the beginning. Automated security validation tools are designed to provide continuous, real-time assessment of an organization's cybersecurity defenses. These tools are continuous and use exploitation to validate defenses like EDR, NDR, and WAFs. They're more in-depth than vulnerability scanners because they use tactics and techniques that you'll see in manual penetration tests. Vulnerability scanners won't relay hashes or combine vulnerabilities to further attacks, whic...

Over the past two years, a shocking  51% of organizations surveyed in a leading industry report have been compromised by a cyberattack.  Yes, over half.  And this, in a world where enterprises deploy  an average of 53 different security solutions  to safeguard their digital domain.  Alarming? Absolutely. A recent survey of CISOs and CIOs, commissioned by Pentera and conducted by Global Surveyz Research, offers a quantifiable glimpse into this evolving battlefield, revealing a stark contrast between the growing risks and the tightening budget constraints under which cybersecurity professionals operate. With this report, Pentera has once again taken a magnifying glass to the state of pentesting to release its annual report about today's pentesting practices. Engaging with 450 security executives from North America, LATAM, APAC, and EMEA—all in VP or C-level positions at organizations with over 1,000 employees—the report paints a current picture of modern...

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...