Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

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 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.

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.

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.

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.

AI is transforming banking. But without security and data readiness, it accelerates risk as much as innovation.

You've done the work. Logs are flowing. Rules are enabled. Agents are deployed. Dashboards exist. But if your CISO, an auditor, or a red team report asked if your SIEM is ready to detect and respond to the threats that matter, could you answer confidently? Most teams can't.

Short answer: Because attackers exploit fragmentation faster than governments can respond This shift toward collective cyber defense is a cornerstone of the new federal vision. The March 2026 National Cyber Strategy for America explicitly calls for a "new level of relationship between the public and private sectors" and demands "unprecedented coordination across government" to protect the American people.

If you are not using AI to defend against AI, you will lose. But for organizations operating in air-gapped environments, the path to AI-driven defense can be blocked by the very isolation that protects them. Today, we're announcing that Elastic Security is now the embedded security layer for Google Distributed Cloud (GDC) air-gapped environments, expanding our collaboration with Google Cloud.

Let's address the elephant in the room, or I should say … the AI in the security operations center (SOC). If you're an SOC analyst, you've probably heard the doom and gloom predictions — AI is coming for your job! AI will replace you! Start updating your resumes now! In all honesty, that probably is not the case. AI isn't going to take your job, but it will change how you do it — and that's brilliant news.