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

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

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

A clear look at risk engineering, showing how proactive analysis reveals real vendor exposure beyond audits in modern TPRM.

Explores how Shadow AI drives DSPM and DLP in healthcare, outlining a practical approach to secure PHI, data flows, and governance.

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.

Guidance on securing cloud workloads across multi-cloud environments with continuous vulnerability management, agentless scanning, build-to-runtime security, and automated compliance.

A lifecycle-based guide to securing enterprise AI—covering models, data, and agents, with five risk categories and governance guidance for leadership.

Explores discovery and traceability gaps in autonomous AI agents, real-time registries, and identity governance across cloud and on-prem environments.

Explores Zero Trust for agentic AI pipelines in cloud production, outlining identity, access controls, and guardrails to prevent machine-driven gaps.