Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Security analysts know the feeling: The all-too-familiar dread creeps in as a new exploit hits the headlines. Cyber teams worldwide brace themselves, knowing that their weekends, vacations, and carefully laid plans are likely about to go up in smoke. The first question a CISO will always ask rings in their ears: “Are we protected against this?”

Artificial intelligence is rewriting the rules for cybersecurity on both sides of the battle. Cloud adoption, a broadening attack surface, and AI-fueled cyber threats are driving organizations to rethink their approach to security. Discussions on the best way to adapt to a highly dynamic threat environment will naturally steer toward updating SIEM, as it is core to today’s security operations.

We’re all exhausted—both by the problem and by hearing about it. False positives and overwhelming alert volume have long plagued security operations. And despite years of innovation, solutions have remained elusive. Alert volume. Alert fatigue. SOC burnout. This persistent problem puts security teams in a tough position: For CISOs and SOC managers, it’s a lose-lose scenario.

Elastic’s piped query language, ES|QL, brings joins to the party Threat hunters rejoice! Have you been looking for a way to join data with the speed and power of Elastic? Well, we heard you! Elastic can now join data sources with a new function for the piped query language, ES|QL (Elasticsearch Query Language). This will enable robust searches that range from advanced behavior detections to alert triage and of course, threat hunting.

CrowdStrike is launching new innovations to power the AI-native security operations center (SOC) and help teams hunt and resolve threats with speed and accuracy. A new solution, CrowdStrike Falcon Adversary OverWatch Next-Gen SIEM, will bring managed threat hunting to available third-party data and extend the visibility of CrowdStrike’s elite threat hunters into unmanaged attack surfaces.

Security operations and large-scale conferences have more in common than you'd think: too much noise, too many tools, and insufficient clarity. Both can leave you overwhelmed with information as you sort through one acronym or bold claim after another, only to end up with more questions than answers. RSA Conference is no exception. Booths are packed with AI promises and buzzwords, but there’s little visibility into how anything works.

Financial services can’t rely on manual review alone. Discover how unified data and explainable AI are helping firms detect risk, reduce cost, and stay ahead of evolving regulations. Financial services organizations are drowning in data. From emails and Bloomberg chats to WhatsApp messages and calls, the need to review communications data to detect potential misconduct and financial crime by employees and third parties is a mandated regulatory requirement for compliance and risk teams in 2025.

What does it really mean to have a SIEM Without Compromise? For too long, security teams have been stuck in a no-win game—forced to choose between visibility and cost, detection breadth and team capacity, automation, and control. Every decision felt like a trade-off, with real-world consequences: dropped logs, missed alerts, and inconsistent response when it mattered most. With the Spring ’25 release of Graylog Security 6.2, we’re eliminating those compromises.