Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Airtel is strengthening security operations with Elastic's AI-driven analytics

In a previous blog post, we covered how Airtel’s (a leading telecommunications provider) managed security services (MSS), powered by Elastic Security, provide real-time threat detection, advanced analytics, and cloud security for enterprise customers. By using SIEM, endpoint protection, cloud security, and threat intelligence, Airtel enhances proactive threat hunting and incident response.

Elastic named a Leader in The Forrester Wave: Security Analytics Platforms, Q2 2025

We’re excited to share that Elastic has been named a Leader in The Forrester Wave: Security Analytics Platforms, Q2 2025. At Elastic, we believe security starts with the data. Elastic Security enables teams to detect, investigate, and respond to threats at scale, without lock-in or limits — powered by the speed and flexibility of Elasticsearch — and is grounded in a commitment to openness, innovation, and customer control.

You thought Elastic only did SIEM? Think again!

Elastic Extended Security, born from the acquisition of Endgame, brings years of battle-tested EDR and threat prevention expertise directly into Elastic’s Search AI Platform. This isn’t a bolt-on or third-party integration; it’s a native, deeply embedded component that redefines what’s possible with XDR. As data volumes grow exponentially, traditional EDR tools hit walls. Elastic doesn’t.

AI, out-of-the-box!

Elastic's GenAI capabilities are now available by default in Elastic Cloud Elastic AI features in Elastic Security, Observability, and Search are now enabled by default in Elastic Cloud. Getting started with generative AI (GenAI) shouldn’t be a project in itself. Too often teams encounter organizational friction that slows adoption of AI-based features, from third-party contracts and external API keys, to additional terms of service and billing management.

Reclaiming analyst time: Smarter investigations with AI in defence

How the MOD can reduce investigation fatigue and boost operational efficiency Security analysts at the UK Ministry of Defence (MOD) — and everywhere — face an overwhelming challenge: They can receive thousands of alerts daily, and distinguishing genuine threats from false positives in a timely fashion has become nearly impossible without technological intervention.

How the MOD can achieve decision superiority against cyber threats

AI as a force multiplier for cyber resilience in defence Military leaders are well-acquainted with the expansion of conventional warfare into digital battlefields. The recent attack and breach of a UK Ministry of Defence (MoD) supplier exposed data of 270,000 service personnel,1 representing not an isolated incident but a pattern in an escalating cyber conflict.

Cyber threats explained: How to safeguard your enterprise

Cyber threats (also known as cybersecurity threats) are events, actions, or circumstances that have the potential to negatively impact an individual or an organization by taking advantage of security vulnerabilities. Cyber threats can affect the confidentiality, integrity, or availability of data, systems, operations, or people’s digital presence.

Tips for choosing an AI-driven SIEM

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.

Threat hunting in Elastic with JOINs!

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.

How to achieve full-spectrum financial risk detection with AI and unified data

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.