NIST CSF Function PR
The Protect (PR) Function is the primary defensive pillar of the NIST Cybersecurity Framework (CSF) 2.0, operating as the “safeguard” engine since its inception to provide a unified technical response to identified cyber risks. The PR Function supports both infrastructure teams and data owners by offering a suite of proactive controls, such as identity management and encryption, to reduce the likelihood and impact of adverse events and to help make the organization the safest place for business-critical services to operate. Acting as the framework’s “armor,” the PR Function monitors access attempts, issues requirements for security awareness training, coordinates with the Identify function to ensure the most critical assets receive the strongest protections, and serves as the single point of mitigation before an incident occurs, ensuring a coordinated and resilient technical approach to cybersecurity.
Released in February 2026 by the OWASP GenAI Security Project, the Practical Guide for Secure MCP Server Development provides a comprehensive framework for securing the connection between AI agents and… Read More »OWASP Practical Guide for Secure MCP Server Development
BSI TR-02102-1 provides comprehensive recommendations for cryptographic mechanisms and key lengths to ensure long-term data security, with a particular focus on maintaining a security level of at least 120 bits.… Read More »BSI TR-02102-1: Cryptographic Mechanisms
The ANSSI guide, titled Sécurisation du poste de travail multi-environnements, provides a strategic framework for securing workstations that need to interact with multiple information systems of varying sensitivity levels. Recognizing… Read More »ANSSI Securing the Multi-Environment Workstation (FR)
The NIST Cyber AI Profile offers a structured approach to integrating AI into cybersecurity operations. It provides guidance on leveraging AI for threat detection, risk assessment, and automated response while… Read More »NIST IR 8596 Cybersecurity Framework Profile for Artificial Intelligence (Cyber AI Profile): NIST Community Profile ★★★★★
ETSI EN 304 223 is a landmark European standard, published in early 2026, that establishes the first globally applicable baseline for securing artificial intelligence models and systems throughout their entire… Read More »ETSI EN 304 223: Securing Artificial Intelligence (SAI) – Baseline Cyber Security Requirements for AI Models and Systems
The CSA Key Management Guide outlines best practices for securely creating, storing, distributing, and retiring cryptographic keys in cloud environments. It emphasizes robust key lifecycle management, access controls, and compliance… Read More »CSA Key Management
The Cloud Security Alliance (CSA) provides comprehensive guidelines on data security within AI environments, emphasizing a lifecycle approach to protect sensitive training data, models, and inference inputs from threats like… Read More »CSA Data Security within AI Environments
The CISA Principles for the Secure Integration of Artificial Intelligence in Operational Technology provide a comprehensive framework to help critical infrastructure owners and operators securely integrate AI into their OT… Read More »CISA Principles for the Secure Integration of Artificial Intelligence in Operational Technology
CSA A Practitioner’s Guide to Post-Quantum Cryptography is a practical resource designed to help security professionals safeguard sensitive data both in transit and at rest against the emerging threat posed… Read More »CSA A Practitioner’s Guide to Post-Quantum Cryptography
This document is a comprehensive guide developed by the Center for Internet Security (CIS) in collaboration with SAFECode and a community of experts. It provides a practical, evaluable framework to… Read More »CIS Secure by Design: A Guide to Assessing Software Security Practices ★★★★★