Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Since day one, CrowdStrike's mission has been to stop breaches. Our pioneering AI-native approach quickly set our platform apart from the landscape of legacy cybersecurity vendors that were heavily reliant on reactive, signature-based approaches for threat detection and response. Our use of patented models across the CrowdStrike Falcon sensor and in the cloud enables us to quickly and proactively detect threats — even unknown or zero-day threats.

Discover EKS Pod Identity Association—the modern, secure way to grant AWS permissions without the operational overhead of OIDC providers. No more duplicated IAM roles across clusters, no more trust policy updates every time you scale.

One of the major Kotlin Multiplatform use cases is sharing code between mobile platforms. You can share application logic between iOS and Android apps and write platform-specific code only when you need to implement a native UI or work with platform APIs.

Hint: EASM by itself is a means, not an end. In the rapidly evolving landscape of cybersecurity, few innovations have shown as much early promise as External Attack Surface Management (EASM). Its core value proposition the ability to continuously discover, inventory, and monitor all internet-facing assets of an organization was compelling from the start. Yet, despite its utility and adoption across multiple cybersecurity disciplines, Gartner recently declared EASM an obsolete standalone product category.

We all know where vulnerability management fits into an overall security strategy; it provides the raw data that analysts use to figure out what’s wrong and what needs to be fixed. The problem is, traditional VM stops there – leaving analysts to do all the work. Today’s companies don’t have the luxury of doing that anymore. Experts are needed on the front lines, not vetting false positives, and VM solutions that deliver nothing but a data dump are on the road to becoming obsolete.

As organizations rapidly embrace generative AI tools like Microsoft 365 Copilot to boost productivity and innovation, a critical question emerges: Is your data fully protected against today's accelerating and deepening threat landscape? The integration of generative AI tools (such as Microsoft 365 Copilot) into daily workflows brings unprecedented opportunities to enhance productivity. Yet equally unprecedented risks to your organization's most sensitive information.

In this article If your cloud platform is already compliant with NIST SP 800-53, you’ve laid important groundwork for security and risk management. But when the goal shifts to serving U.S. federal agencies, the bar is raised significantly. That’s where FedRAMP enters the picture. While FedRAMP is built on NIST 800-53, the two are not interchangeable. FedRAMP adds a layer of rigor, documentation, and oversight specifically tailored to the requirements of the federal government.

For every enterprise CISO in the world right now, the burning question isn’t about cloud, TPRM, or internal threats. It’s about how to securely and responsibly adopt AI—specifically, agentic AI, the buzziest of today’s AI buzzwords. There’s no shortage of stats on skyrocketing adoption trends. Consider EY’s recent Technology Pulse Poll, which found that half of tech leaders have at least begun deploying agentic AI within their organizations.

‍ ‍Cyber risk quantification (CRQ) is the process of attributing numerical values to a cyber event's impact on an organization. When defined in financial terms, these values enable enterprises to assess and manage their cyber risks at the operational level.