AI Risk Management: Continuum GRC Automated Compliance Assessments 2026

AWS IAM Identity Center achieves FedRAMP Class C Certification

Discover more about what's new at AWS with AWS IAM Identity Center achieves FedRAMP Class C Certification

Effective Patch Management Strategies: 7 Best Practices

A structured guide to building a patch management strategy that holds up under real operational pressure. Covers a 7-step framework: asset inventory, policy definition with SLAs, risk-based prioritization (using CVSS, EPSS, and CISA KEV), testing with canary/phased rollouts, deployment execution, post-deployment verification, and KPI tracking. Also addresses common pitfalls like assuming deployment equals remediation, letting exceptions accumulate, and test environments that don't mirror production. Includes compliance mapping to NIST SP 800-40, PCI DSS, and HIPAA, plus practical best practices like automating routine patching and treating third-party software as a first-class patching target.

Pentagon pauses the cyber audit rule that was pushing small suppliers out

Bộ Quốc phòng Mỹ tạm dừng các cuộc kiểm toán bảo mật giai đoạn 2 của CMMC do chi phí cao và thiếu đánh giá viên khiến các nhà thầu nhỏ rời bỏ.

Lập trình viên chuyên về an ninh mạng nên đọc bài này để hiểu cách các chính sách an toàn dữ liệu ảnh hưởng đến thị trường công nghệ và cách các doanh nghiệp nhỏ phải đối phó với thách thức trong việc tuân thủ tiêu chuẩn an ninh mới.

Agentic Compliance: What AI Should Automate and What Humans Must Still Decide

Most compliance programs still run on annual or quarterly cycles, creating a mismatch with the continuous pace of system changes and vulnerabilities. AI can automate the evidence-gathering half of compliance — scanning environments, correlating data, mapping configurations to controls — but the interpretation and judgment half (drafting narratives, making control determinations) requires human oversight due to risks like LLM hallucinations and regulatory accountability requirements. An emerging 'agentic compliance' model has AI agents draft assessments while humans verify and approve, preserving audit trails. Three principles are outlined: treat all AI output as drafts, establish AI governance before deploying AI-assisted compliance, and prepare for AI governance to become a formal regulatory requirement under frameworks like CMMC Phase 2 and NIST IR 8596. The post ends with a webinar promotion from Qmulos.

PostgresEDI July 2026 Meetup — Public Speaking, AI Compliance

Recap of the PostgresEDI July 2026 meetup featuring two talks. Pat Wright (Redgate) shared practical advice for introverts on public speaking and community involvement, covering abstract writing, rehearsal strategies, and demo preparation. Martins Otun (Algonix AI) presented a SQL-first architecture for compliance-critical AI retrieval systems using PostgreSQL and pgvector, arguing that keeping vectors, permissions, document versions, and audit trails inside a single Postgres engine enables full traceability — essential when regulators ask why an AI made a high-stakes decision.

The Popia problem with agentic AI

South African firms are racing into agentic AI – and straight into a Popia compliance minefield, writes Herman Haasbroek.

How ISO 42001 Helps Organizations Manage AI Risk

Artificial Intelligence is making a faster penetration into several industries, automating decision-making and operations as well as research on a wide scale. AI can not only impact decisions but also create ethical concerns and potential errors faster. This is the reason organizations need a clear framework to manage AI risks. Organizations should manage their systems The post How ISO 42001 Helps Organizations Manage AI Risk appeared first on Kratikal Blogs.