Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Every time someone asks me about building their AI policy, I die a little inside. Not because it’s a bad question, but because my answer is always the same: “Can we not build it off pure fear for once?” Most people don’t understand how AI architecture works, so their first instinct is to panic. And, we’ve seen this movie before: cloud, mobile, bring your own device (BYOD).

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.

“CISOs and SOC analysts are fighting the same war, but too often, one’s answering to the board while the other’s drowning in alerts.” Security teams rarely fail because of a lack of skill or commitment. They fail when the coordination layer between the boardroom and the SOC starts to unravel.

Trying to stay ahead in cybersecurity can feel a bit like juggling gas-powered chainsaws while riding a unicycle across a tightrope—dangerous, noisy, and not for the faint of heart. Thankfully, security information and event management (SIEM) tools are your safety harness—keeping you steady, secure, and just far enough from the edge that you’re not plunging headfirst into the abyss of breached data, regulatory fines, and sleepless nights.

Security teams rely on SIEMs to aggregate and analyze data from a wide range of sources, including cloud environments, identity providers, endpoint protection platforms, network appliances, SaaS apps, and more. But every source delivers logs in its own format, with different field names, structures, and semantics. This fragmentation makes it difficult to build scalable, reusable detection rules or correlate threats across systems.

Whether you’re an Apple fan or not, one of the reasons people buy into their ecosystem is ease of setup across different devices. In a world where people customize the applications on their laptops to cross over with their mobile phones, an easy setup is a key to getting the most value from their devices. However, in the world of security information and event management (SIEM) solutions, the time to value often takes longer than most security teams want to admit.

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.

Let’s talk about privacy—specifically, the kind you thought you had when you hit “delete.” OpenAI received a court order to retain every single ChatGPT conversation, even the ones you erased. Yep. Even the awkward ones. Even the ones that start with, “Hypothetically, if I were to…” Why? Because The New York Times is suing them over copyright, and now everyone’s deleted chats are potential evidence.

“Too many alerts mean missing the real threats.” Alert fatigue is one of the top threats to a SOC’s performance. When everything looks like a threat, nothing does. The tradeoff is disabling rules, overly tuning rules, or simply ignoring alerts just to stay afloat. The risk? High-value, low-noise threats slip through the cracks.

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.