Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

AI has moved from experimentation to a strategic enterprise imperative. It’s no longer about whether organizations will adopt AI, but whether their security architecture can govern it at the speed and scale at which it is being embedded into the business. This is not a future concern. It is today’s operational mandate to: Securing AI is not limited to software applications and agents.

GitGuardian’s 5th State of Secrets Sprawl report is here. In this blog, we unpack the key findings behind the 2026 edition, from AI-driven leak growth to the remediation gaps security teams can’t ignore.

AI is transforming the cybersecurity landscape for both threat actors and defenders. Learn how AI is being used on both sides of the battle with practical tips to help your security team up-level its AI use.

Cursor's security team built four autonomous agents that review 3,000+ PRs per week, catch 200+ vulnerabilities, and open fix PRs automatically. The engineering is impressive, and the prompts are shockingly simple. But there's a meaningful gap between "LLM agents reviewing PRs" and "enterprise security program," and that gap is exactly where things get interesting.

Agent skills are becoming the building blocks of AI-native software development, giving coding agents structured, versioned context, like how to use your APIs, how to build in your codebase, and how to enforce your team's policies. Developers install them from registries the same way they install npm packages or Python libraries. But unlike npm or PyPI, the agent skills ecosystem is new.

DLP and Secude solutions protect your IP data from generation to storage to deletion - no matter where it travels. Here’s how. Building designs, mechanical drawings, structural plans. CAD software is the backbone of modern AECO projects and contains some of AECO’s most confidential intellectual property (IP). But most architects, engineers, construction firms and operations companies still rely on Data Loss Prevention (DLP) tools to protect their CAD data.

Organizations today operate in a threat landscape that is clearly more complex than it was just a few years ago. Advanced attacks no longer follow a single path or rely on a single entry point. Instead, they move across endpoints, identities, networks, and cloud services, exploiting fragmented environments and the lack of integration between different security layers. This evolution highlights the limitations of traditional approaches.

You’ve entrusted your Git and/or SaaS app data to popular cloud platform providers like GitLab, Atlassian, and Microsoft. But are you 100% sure about the data security, considering that your organization lives and dies by it? Do you have a backup and recovery plan? Or do you rely on your cloud provider only? Get to know how to implement cloud-to-cloud backups to stay with the modern cloud technology, while giving your business-critical data in the cloud maximum protection.

Modern enterprises aren’t just adding employees; they’re adding subsidiaries, multiple teams, contractors, AI builders, temporary projects, and new SaaS tools every week.

Automating user provisioning sounds simple, until you remember everything that provisioning really touches.