Virtue AI Closes the AI Agent Security Gap with Agent ForgingGround: The First Enterprise-Scale Testing Ground for Autonomous AI

Agent ForgingGround with Built-In Red-Teaming Agents continuously evaluates and stress-tests AI agents across 50+ production-grade enterprise environments so enterprises can embrace AI agents without compromising security.

Are AI Security Tools the New EDR? Attackers Are Treating Them That Way

AI security tools are no longer just defensive layers. They are high value targets being studied, fingerprinted, and bypassed much like traditional endpoint detection and response (EDR) platforms and antivirus solutions were in their early days. The speed and scale at which these tools are being deployed makes reactive defense increasingly unsustainable.

Why Keeper Security is Preparing for Quantum Computing with Quantum-Resistant Cryptography

For decades, public key cryptography has protected global commerce, governments and enterprises. But advancements in quantum computing are forcing a fundamental reevaluation of how that protection holds up long-term. That’s why we’re rolling out quantum-resistant encryption across our solutions to help protect against future quantum-enabled threats.. Dr. Adam Everspaugh, Keeper Security’s Cryptography Advisor, explains what a quantum computer is and why preparation can’t wait.

Cloud-to-Cloud Backup: How to Protect SaaS Data with an Independent Cloud

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.

How we centralize and remediate risks with Datadog Case Management

Proactively addressing risks in technical environments is a constant challenge. Many teams wait until it’s too late and key application functionality is disrupted or sensitive data is exposed. However, understanding risk severity in context can be difficult, especially in distributed systems where related issues and impacts may not be immediately obvious.

XDR to Eliminate Silos and Strengthen Business Security in 2026

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.

Why Synthetic Data for AI Fails in Production

Synthetic data has been fine for testing software for decades. Traditional apps follow rules. You check inputs, check outputs, file a bug when something breaks. AI is different. AI gets deployed into the situations where the rules aren’t clear and context is everything. The edge cases aren’t exceptions. They’re the whole point. That changes what your test data needs to look like.

Accelerate incident response with Datadog and ServiceNow

For many organizations, ServiceNow operates as the system of record for governance, auditability, and compliance. But when incidents occur, engineers often need to consult external tools to identify and resolve the root cause. When investigations are siloed from the system of record, engineers must return to ServiceNow to manually update work notes, incident statuses, and mandatory resolution fields before closing tickets.