Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Managing an enterprise-level Active Directory (AD) means enterprise-grade volumes of identity accounts. Naturally, operations at this scale come with high complexity and call for intensive resources to maintain control. Manual errors can creep in as the business expands, leading to increased cybersecurity risks and vulnerabilities.

Starting today, Egnyte is available through the AWS Marketplace! Our partnership with AWS makes it easier to streamline procurement processes and maximize your technology investments. Read on to discover how our collaboration with AWS simplifies the integration of Egnyte into your existing tech stack, helping you unlock more value from your investment.

The Digital Operational Resilience Act (DORA) and the Revised Network and Information Systems (NIS 2) are two of the latest EU cybersecurity regulations designed to fortify the security posture and cyber resilience of in-scope entities. ‍ Both regulations share the same general purpose of increasing their respective sectors' overall transparency and security. Still, their approaches to this goal vary in several key aspects you’ll learn about in this guide.

In our first blog post, “Sysdig Secure-Google Chronicle integration – Why, what, and how“, we introduced the idea of connecting both platforms, highlighting their complementary strengths and providing a high-level overview. Now, we’re taking it a step further—moving beyond theory to focus on practical, real-world applications.

MITRE ATT&CK has become the go-to knowledge base for understanding how attackers operate since 2013. The framework’s 12 tactical categories map out attack stages from original access to final impact. Security teams can spot and block threats at multiple points before any damage occurs. This piece shows how companies can utilize MITRE ATT&CK’s framework to boost their EDR.

Agentic AI is transforming business. Organizations are increasingly integrating AI agents into core business systems and processes, using them as intermediaries between users and these internal systems. As a result, these organizations are improving efficiency, automating routine tasks, and driving innovation. But these benefits come at a cost. AI agents rely on APIs to access data and functionality from underlying systems. Without APIs, AI agents are useless.