Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Domain-name system (DNS)- based cyber attacks are becoming increasingly complex, and AI will only make managing them even more challenging. According to a recent report, Chief Information Security Officers (CISOs) anticipate a tumultuous season of cyber threats, with low confidence in their abilities to defend against them effectively.

AI Agents aren’t coming - they’re already here! reshaping industries, enhancing productivity, and unlocking new possibilities. Embedded in tools like Microsoft 365 Copilot, Salesforce Einstein, and custom-built assistants, they’re making decisions, automating workflows, and interacting with sensitive business data in real time. This wave of innovation is moving fast, but for once, security doesn’t have to play catch-up.

Cyber threats continue to move faster, operate smarter and hit harder than ever before. Against this backdrop, one truth has emerged: identity is the new perimeter – your people’s digital identities are the new front line of defense. And that brings identity into focus for every attacker. To truly protect your business, you need an AI-enabled, dynamic, intelligent, unified Identity Fabric to deliver next generation protection and control without impacting productivity.

AI is often compared to electricity, but without trust, it’s just a live wire. As organizations adopt AI to move faster, reduce manual effort, and push the boundaries of what’s possible, one truth is becoming clear: trust in AI isn’t optional. It’s foundational. And for software development teams, AI Trust is now the north star that guides safe, scalable innovation.

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.

Large Language Models (LLMs) provide strong reasoning and data summarization capabilities, making them valuable proxies for a variety of cybersecurity operations tasks. However, their performance can decline when applied to highly specific or enterprise-contextual tasks, particularly if the models rely solely on public internet data.

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.

As organizations race to adopt artificial intelligence, many overlook a key success factor: Organizational Change Management (OCM). While AI governance and compliance frameworks provide the structure—policies, controls, and oversight, OCM addresses the human factors that brings these frameworks to life. AI governance requires more than technical controls; it demands cultural alignment, ethical awareness, and behavioral change across the enterprise. That’s where OCM becomes critical.

AI Agents have become one of the most discussed emerging technologies in enterprise environments, and now, they’ve captured the attention of policymakers in Washington, DC. Over the past several weeks, a series of developments have brought AI Agents into the national spotlight, particularly through the lens of cybersecurity and regulatory preparedness.