Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Making Waves: Elastic named a Strong Performer in The Forrester Wave: Extended Detection And Response Platforms, Q2 2026

Elastic has been named a Strong Performer in The Forrester Wave: Extended Detection And Response Platforms, Q2 2026 report. The report recognized our SIEM-replacement capabilities, open data architecture, AI innovation, and endpoint protection. Here's what Forrester found and why we believe it reflects what we've been building.

Monitor Claude activity in Elastic Security

The agentic security operations platform As more people across an organization start using Claude, security and compliance teams end up asking the same questions they ask about any other system: Who’s using it? How are they signing in? Who’s changing the configuration? Claude’s Compliance API answers all of that. It tracks more than 300 event types across Claude Enterprise, Claude Team, and Claude Platform, and every event arrives with the actor, a timestamp, and where it came from.

Compliance work is overdue for a new approach

Compliance has traditionally lived in dashboards, spreadsheets, screenshots, audit packets, and point-in-time reviews. Security teams know the reality is more dynamic. The evidence auditors need is often buried across identity providers, endpoints, cloud platforms, network controls, vulnerability scanners, alerts, and custom application logs — all generating live operational telemetry that static tools struggle to keep up with.

Agentic SOCs: The public sector's new AI cybersecurity defense

Adversaries are using AI to launch cyber attacks in record time, forcing security teams to measure responses in seconds instead of hours or days. Detecting these attacks is increasingly difficult. Phishing campaigns built by large language models (LLMs) achieve click-through rates 4.5x higher than traditional methods.1 Public sector organizations are at an inflection point with cybersecurity. Most security stacks in place today weren’t built for this level of speed.

How to overcome data gravity and accelerate AI security in the SOC

Security teams ingest massive volumes of telemetry from endpoints, cloud workloads, identity providers, and network controls. The goal is faster threat detection and shorter incident response times. But the reality is that all of this data becomes harder to move, slower to query, and messier to analyze as it grows. That's data gravity, and it's the biggest barrier to effective AI in cybersecurity.

Protecting critical infrastructure in the AI era: It starts with data

In the public sector, it’s not uncommon for disruptions of critical infrastructure to ripple outward and wreak major havoc on systems and communities whether the cause is a technical issue, a natural disaster, or a cyber attack. As critical infrastructure becomes more connected through distributed systems and IoT devices, the attack surface continues to expand.

Elastic + Azure: The scalable security stack driving better outcomes

Discover how implementing Elastic helped drive measurable improvements across key security metrics, from performance to client satisfaction. In this video, Tyler Hopperton, Chief Information Security Officer at Coretek, shares how a flexible, data-driven approach to cybersecurity, combined with Elastic and Microsoft Azure, enables teams to better understand, normalize, and act on critical security data. Learn how this partnership is helping modern organizations adapt to evolving threats and build more effective security operations.