From ransomware and insider threats to advanced persistent attacks, the complexity and scale of cyber risks are growing faster than traditional security operations can handle. Security teams are ...

Opportunities, Architecture, and Challenges: A Systematic Review,” published in Account Audit, the authors argue that AI is expanding audit coverage and improving anomaly detection, while also ...

What Does It Mean to Manage Non-Human Identities Effectively? Imagine where every digital entity, from simple applications to complex systems, functions like travelers in an international airport. If ...

Zapier reports that AI security is crucial as AI usage grows, presenting risks like data breaches and adversarial attacks ...

As AI automates scanning, compliance, and mitigation, cybersecurity isn’t disappearing; it’s evolving into a higher-order ...

Organizations increasingly are turning to LLM-based autonomous agents to detect and prevent threats to their networks. As cybersecurity threats grow, artificial intelligence (AI) is revealing itself ...

Founded by Nir Zuk, Wilson Xu and Ehud (Udi) Shamir (pictured), veterans of Palo Alto Networks Inc. and SentinelOne Inc., ...

Overview: Big data analytics helps turn massive amounts of big data into useful insights for better decision-making.Processes ...

Artificial intelligence is now embedded in many modern security platforms. Detection systems increasingly rely on behavioral models to analyze authentication events, network activity, and identity ...

NightBeaconAI is the threat analysis engine operating inside the Binary Defense SOC. It analyzes logs, alerts, files, emails, and command-line activity across multiple formats and produces ...