All news with #generative ai tag

AWS DMS Schema Conversion Adds SAP ASE to PostgreSQL

🤖 AWS Database Migration Service (DMS) Schema Conversion now supports conversions from SAP Adaptive Server Enterprise (ASE) to both Amazon RDS for PostgreSQL and Amazon Aurora PostgreSQL. The integrated generative AI capability helps automatically translate complex database code such as stored procedures, functions, triggers, cursors, and other ASE-specific constructs that traditionally require manual conversion. Schema Conversion also provides detailed assessment reports to help migration teams plan, estimate effort, and reduce risk when executing migrations to PostgreSQL-compatible managed databases on AWS.

AI Risk Guide: Assessing GenAI, Vendors and Threats

⚠️ This guide outlines the principal risks generative AI (GenAI) poses to organizations, categorizing concerns into internal projects, third‑party solutions and malicious external use. It urges inventories of AI use, application of risk and deployment frameworks (including ISO, NIST and emerging EU standards), and continuous vendor due diligence. Practical steps include governance, scoring, staff training, basic cyber hygiene and incident readiness to protect data and trust.

Enabling Enterprise Risk Management for Generative AI

🔒 This article frames responsible generative AI adoption as a core enterprise concern and urges business leaders, CROs, and CIAs to embed controls across the ERM lifecycle. It highlights unique risks—non‑deterministic outputs, deepfakes, and layered opacity—and maps mitigation approaches using AWS CAF for AI, ISO/IEC 42001, and the NIST AI RMF. The post advocates enterprise‑level governance rather than project‑by‑project fixes to sustain innovation while managing harm.

Network Visibility for Generative AI Data Protection

🔍 Generative AI platforms such as ChatGPT, Gemini, Copilot, and Claude create new data‑exfiltration risks that can evade traditional endpoint and channel DLP products. Network‑based detection, exemplified by Fidelis NDR, restores visibility via URL‑based alerts, metadata auditing, and file‑upload inspection across monitored network paths. Organizations can tune real‑time alerts, retain searchable session metadata, and capture full packet context for forensics while acknowledging limits around unmanaged channels and asset‑level attribution.