Salesloft breach shows how OAuth tokens abused by trusted apps enable data exposure, underscoring the need for Zero Trust and ...
The SaaS Security Capability Framework (SSCF) v1.0 introduces practical, actionable controls for SaaS security, guiding ...
RiskRubric provides a six-pillar framework to quantify AI model risk, guiding secure, compliant adoption with evidence-based ...
Overview of NIS2, CRA, and DORA status, implications, and compliance strategies for EU organizations and the financial sector ...
Regional analysis of BEC and VEC engagement, post-read behavior, and reporting gaps, highlighting the need for targeted ...
In the 2024 Microsoft hack, Midnight Blizzard gained access to Microsoft employees’ emails via residential proxies and ...
You trust AI to protect your systems. It spots threats, blocks risks, and makes fast calls. But do you know how it reaches ...
A Zero-Trust IAM framework and Trust Fabric to secure autonomous AI agents against logic-layer threats like LPCI.
Machine learning systems face a new class of security threats—sophisticated attacks that target the very foundation of how ...
These implementation guidelines are designed to support organizations and cloud service providers in understanding and operationalizing the new CCM v4.1 controls. Developed in alignment with the ...
Written by Jim Reavis, Co-founder and Chief Executive Officer, CSA. Today, CSA is releasing the official mapping of the AI Controls Matrix (AICM v1.0) to ISO/IEC 42001:2023—with companion references ...
Introducing CSA’s MCP Security Resource Center — the first open industry hub for securing the Model Context Protocol and the broader agentic AI control plane. The Model Context Protocol (MCP) gives us ...
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