Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Most teams think of data lakes as cold storage. A long-term archive. A place to keep logs “just in case” while budgets tighten and ingest volumes rise. Functional, sure. But limited. The traditional data lake keeps everything, helps occasionally, and rarely fits the way analysts work. Graylog approaches the data lake differently. In Graylog 7.0, the data lake is not a warehouse. It is a pressure release valve for teams overwhelmed by storage cost, investigation delays, and cloud data sprawl.

AI agents are finally moving past cute demos and into actual production workflows. With AWS AgentCore, teams can build agents that write tickets, call APIs, deploy infrastructure, invoke external tools, and make changes faster than any human operator ever could. That’s powerful, but it also introduces a brand-new operational and security surface. And here’s the uncomfortable truth: most organizations have no idea what their agents are actually doing. Agentic AI isn’t magic.

Even the mightiest and most prestigious companies and enterprises are not exempt from the sophisticated threats posed by cyber attackers. Your security team needs robust security measures for network security, endpoint security, threat detection, anomaly detection, data protection, security monitoring, application security and information security.

Learn how public sector organizations are using Elastic to identify fraudulent activity with rules and anomaly detection jobs fine-tuned for their specific use cases. Every organization faces the challenge of identifying and combating fraud. In the financial services industry, it might be credit card fraud; in the auto insurance space, staged accident fraud; and in the public sector, unemployment, health insurance, or tax fraud.

In today's complex IT environments, comprehensive log collection is crucial for effective auditing and security monitoring. Without this, endpoints, especially those that are VPN-joined, stay out of your reach while auditing. This was the bottleneck faced by our Log360 customer who recently availed OnboardPro, ManageEngine's professional services. They knew Log360 was capable of collecting logs from all their network devices—but what about the endpoints that were connected remotely via VPN?

Not investing in a Security Incident and Event Management (SIEM) solution means you’re missing out on significant business benefits. A SIEM platform provides real-time detection and response to security incidents, helping you reduce the risk of costly compliance violations. Combine that with SIEM use cases such as consolidating and streamlining reporting, and your security team saves time and operational costs.

For more than 20 years, the US Intelligence Community (IC) and Department of Defense (DoD) have relied on a legacy Host Based Security System (HBSS) to provide basic endpoint security on critical networks. This solution has generally served its purpose by checking the box for endpoint security. However, most agencies still lack a truly integrated cross-operating system and cross-domain solution for endpoint detection and response (EDR).

Choosing the right security information and event management (SIEM) solution is one of the most critical decisions you’ll make for your security program. As you evaluate your options, the central question is whether to stick with a traditional, on-premises SIEM or embrace a modern, cloud-native platform. This blog provides a direct comparison of the pros and cons of each, helping you make the best strategic decision for your organization’s needs.

You already know that a security information and event management (SIEM) offers crucial benefits like scalability and reduced management overhead. But how do those platform advantages translate into stopping sophisticated threats? The answer lies in moving beyond simple log collection to leveraging powerful, behavior-based analytics.