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A new class of security tools is emerging that promises to significantly improve the effectiveness and efficiency of threat detection and response. Emerging Extended Detection and Response (XDR) solutions aim to aggregate and correlate telemetry from multiple detection controls and then synthesize response actions. XDR has been referred to as the next step in the evolution of Endpoint Detection and Response (EDR) solutions. Because XDR represents a new solution category, there is no single accepted definition of what capabilities and features should (and shouldn't) be included. Each provider approaches XDR with different strengths and perspectives on how what an XDR solution should include. Therefore, selecting an XDR provider is quite challenging as organizations must organize and prioritize a wide range of capabilities that can differ significantly between providers. Cynet is now addressing this need with the Definitive RFP Template for XDR solutions ( download here ), ...

Anyone paying attention to the cybersecurity technology market has heard the term XDR - Extended Detection and Response. XDR is a new technology approach that combines multiple protection technologies into a single platform. All the analyst firms are writing about it, and many of the top cybersecurity companies are actively moving into this space. Why is XDR receiving all the buzz? Combining (or orchestrating) security technologies in a usable manner has become the bane of cybersecurity as technology spread has overwhelmed the space. There's a massive market for cybersecurity technologies that combine and rationalize other cybersecurity technologies (see SIEM and SOAR). However, most companies find selecting, implementing, integrating, normalizing, operating, and maintaining a fully combined set of cybersecurity technologies far too daunting and only within reach of the largest companies with the deepest pockets. XDR Insights Next week, Senior Analyst Dave Gruber of E...

As SaaS providers race to integrate AI into their product offerings to stay competitive and relevant, a new challenge has emerged in the world of AI: shadow AI.  Shadow AI refers to the unauthorized use of AI tools and copilots at organizations. For example, a developer using ChatGPT to assist with writing code, a salesperson downloading an AI-powered meeting transcription tool, or a customer support person using Agentic AI to automate tasks – without going through the proper channels. When these tools are used without IT or the Security team's knowledge, they often lack sufficient security controls, putting company data at risk. Shadow AI Detection Challenges Because shadow AI tools often embed themselves in approved business applications via AI assistants, copilots, and agents they are even more tricky to discover than traditional shadow IT. While traditional shadow apps can be identified through network monitoring methodologies that scan for unauthorized connections based on...

How do you know whether an attacker has infiltrated your network? Can you really rely on an Endpoint Detection and Response (EDR) solution to be your go-to technology for identifying security breaches? Endpoint detection and response (EDR) platform has been an important technology to detect cybersecurity incidents, but it provides only the view of endpoints, just a portion of the big picture. Since hackers can explore and exploit anything within reach, not just a few monitored endpoints, many security professionals are reaching the realization that the actual attack surface of their organizations is significantly wider than only endpoints. In an ideal and more effective approach to security, a broader set of attack vectors and activity data should be examined to get a more complete view of the attack operation. On top of the endpoint, security solutions must also include cloud, threat intelligence, network data, and logging information, among others. If you haven't already,...