Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

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.

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.

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.

Many businesses are using AI to innovate and boost productivity. But to truly benefit from AI, you need to trust it. That's where the Snyk AI Trust Platform comes in. As we announced at the 2025 Snyk Launch, the Snyk AI Trust Platform is designed to unleash innovation, reduce business risk, and accelerate software delivery in the age of AI.

We’re happy to announce that Cursor has validated Snyk’s CLI MCP server and added Snyk to their curated set of MCP tools from official providers. At Snyk, we recognized early on that although AI assistants accelerate development, they can inadvertently introduce vulnerable patterns, leverage outdated libraries, or even code with known security flaws. In order to maintain the rapid iteration cycles that AI enables, developers need security to be as agile as AI itself.