The AI Controls Matrix (AICM) is a first-of-its-kind vendor-agnostic framework for cloud-based AI systems. Organizations can use the AICM to develop, implement, and operate AI technologies in a secure ...

As businesses work to bring technology value to market faster, serverless computing is gaining adoption with developers. Serverless platforms enable developers to develop and deploy faster, allowing ...

Data pipelines are rarely simple anymore. A typical enterprise pipeline might ingest data in AWS, process it in Azure, send a subset to a SaaS analytics platform, and store the results in Google Cloud ...

Written by Megan Theimer, Content Marketing Manager, CSA. TL;DR: Deepfakes are not merely a detection challenge. They expose fundamental weaknesses in how organizations establish identity, grant ...

The State of Hybrid and Multi-Cloud Security Policy Management AlgoSec, a global cybersecurity leader, empowers organizations to secure application connectivity by automating connectivity flows and ...

Attackers are using fabricated OAuth application identifiers to fragment cloud account enumeration across millions of fictional applications. The result is a signal that resembles configuration noise ...

An IEEE standard for local and metropolitan area networks–Port-Based Network Access Control. IEEE 802 LANs are deployed in networks that convey or provide access to critical data, that support mission ...

The CCSK certificate is highly regarded as the benchmark for cloud security expertise. It provides a comprehensive and unbiased understanding of how to effectively secure data in the cloud. Earning ...

Cloud, AI and cybersecurity are moving faster. Join the organization that gave the industry an early warning on Mythos implications and the first CISO analysis of the Hugging Face incident. We will ...

These auditing guidelines are designed to support organizations and auditors in evaluating how effectively cloud service providers implement the new CCM v4.1 controls. Drafted in alignment with the ...

Explores AI incident response in 2026+, showing how traditional playbooks break for autonomous AI, and outlining logging, detection, containment, and governance.