Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Dynamic Lookup Tables with Falcon Fusion SOAR

Operationalizing external data is essential for smarter and faster threat detection. Falcon Next-Gen SIEM and Fusion SOAR make it easy with new HTTP Request and Lookup File actions. Security teams can now dynamically pull data from third party sources into automated workflows without writing a line of code. These inputs are instantly converted into lookup tables that enrich detections in real time, powering precision and speed at machine scale.

Beyond the Patch: SharePoint Exploits and the Hidden Threat of IIS Module Persistence

The cybersecurity landscape witnessed a perfect storm in July 2025 when multiple critical SharePoint vulnerabilities collided with sophisticated IIS module-based persistence techniques, creating a nightmare scenario for enterprise defenders. CVE-2025-53770, CVE-2025-53771, CVE-2025-49704, and CVE-2025-49706 are being actively exploited by sophisticated threat actors, but the real danger extends far beyond the initial exploitation phase.

Deploying Gen AI Guardrails for Compliance, Security and Trust

AI guardrails are structured safeguards, whether technical, security or ethical, which are designed to guide AI systems so they operate safely, responsibly, and within intended boundaries. Much like highway guardrails that prevent vehicles from veering off course, these measures ensure AI remains aligned with organizational policies, regulations, and ethical values.

The Data Sovereignty Debate Heats Up

The debate over data sovereignty spurred by the U.S. CLOUD Act is intensifying. On June 10, 2025, France’s Senate held a hearing on the role of procurement in data sovereignty, where Anton Carniaux, Director of Public and Legal Affairs at Microsoft France, testified. He stated he could not guarantee that data from French citizens would not be shared with U.S. authorities without explicit authorization from French authorities.

Why AI Infrastructure Growth Demands Next-Gen Cybersecurity and PAM

Global Artificial Intelligence (AI) infrastructure spending is projected to surpass $200 billion by 2028, according to research from the International Data Corporation (IDC). As organizations rapidly deploy more complex AI systems, the demand for high-performance infrastructure, like Graphics Processing Units (GPUs) and AI accelerators, is surging. This growth exponentially increases computing power, energy consumption and data exchange across hybrid and cloud environments.