Outlines five core cloud forensics capabilities for effective incident response: data depth, custody, automated collection, usability, and preparedness.

In traditional enterprise architecture, no application is allowed to execute privileged actions without passing through layers of policy enforcement, access validation, logging, and governance.

Learn how Zero Trust, CBAC, and microsegmentation reduce prompt injection risks in LLM environments and secure data across the full stack.

Shifting from checkbox-driven TPRM to risk engineering, using Agentic AI to detect real threats, reduce risk, and stop third-party sprawl.

Explore 2026 cloud and AI security trends, including non-human identity management, securing the orchestration brain, and the role of an exposure management program.

Insights from an AWS crypto-mining campaign show how valid credentials, rapid resource abuse, and visibility gaps expose cloud security blind spots.

A practical guide to defining the protect surface and prioritizing Zero Trust for cellular networks, enabling an iterative rollout.

Explores islands of identity in agent-based IAM and why a single IAM falls short across SaaS and enterprise agents.

AI automates multi-framework cloud compliance, delivering real-time visibility, policy-as-code, and scalable governance for CSA STAR assessments.

This piece shows why AI agents crossing domain boundaries require verifiable, real-time delegation and cross-domain revocation.

Examines a declarative governance framework for agentic systems, defining intent, continuous visibility, and automated responses across cloud environments.

This Code of Practice shows how you can apply the CCM control set in your organization to reach STAR Level 2 third party certification/attestation and also remain ...