Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

AI systems are no longer experimental. They sit at the center of product experiences, internal workflows, and customer-facing automation. As soon as an AI feature ships, it starts handling real data. Customer messages. Internal documents. Support tickets. Logs. Training samples. That’s when AI data security stops being an abstract concern and becomes a product requirement.

As Artificial Intelligence (AI) agents become more autonomous by accessing critical systems and acting without real-time human oversight, they are evolving from productivity tools into active Non-Human Identities (NHIs) like service accounts or API keys that require the same oversight and controls as human users. This shift expands organizational attack surfaces, introducing new security risks related to overprivileged access and lateral movement of NHIs across cloud infrastructure.

Today’s security teams need AI models that can reason over massive telemetry and support autonomous actions. At CrowdStrike, we're working closely with NVIDIA to operationalize NVIDIA Nemotron open models1, building on our existing integration of Nemotron on Amazon Bedrock within the CrowdStrike Falcon platform. This collaboration enables us to rigorously test and adapt large language models (LLMs) for security-specific workloads while maintaining production-grade performance and security.

Many organizations use Microsoft Entra ID to manage identities and access across hybrid and cloud-only infrastructures. Entra is a powerful identity provider (IdP) solution that has extensive, configurable features, including for managing multifactor authentication (MFA). The breadth of features can also be a challenge, as many organizations struggle to know how to implement MFA in a way that works best for their organization. This article will explain an approach for how to implement MFA using Entra ID.

The year 2025 proved to be a turning point in how governments, organizations, and communities manage the unpredictable nature of modern crises. With the accelerated pace of technology, significant shifts in global politics, and an increasingly interconnected world, the lessons learned from the recent period have provided a rich roadmap for crisis management governance.

For years, the cybersecurity industry has told itself that vulnerability management has been improving. This story is centered around “more”: more scanners, more data, more dashboards. Despite this abundance, by 2025 the gap between activity and outcomes became impossible to ignore. Security teams were doing more work than ever but struggled to show that risk was actually going down.