The new OWASP LLM Top 10 highlights vulnerabilities unique to LLMs. However, operationalizing LLM security means weaving safeguards beyond just referencing a checklist.
Learn why deterministic security remains essential in an AI-driven world and how to combine probability and proof for safe, auditable development with LLMs.
Enterprise cloud architecture demands sophisticated orchestration of infrastructure, configuration, and workload management across diverse computing platforms.
September 9, 2025
by Vidyasagar (Sarath Chandra) Machupalli FBCS
CORE
Explainable AI bridges the gap between complex models and real-world accountability, helping teams build trust, ensure compliance, and make smarter decisions.
Explore the critical role of data retention in governance: reduce costs, mitigate legal and cybersecurity risks, and ensure compliance with clear policies.
Secure containers with hardened images, secrets management, runtime monitoring, and automated policies. We will also look at some of the cool tools Docker provides.
"We recently purchased a Zero Trust solution." A statement like that makes even the most seasoned security experts cringe. There is no such thing as buying Zero Trust.
Hardcoded secrets in test automation can silently expose your systems. Let us see how to eliminate that risk using Vault for secure, dynamic credential management.
Discover how Trivy PR #9224 enables complete SBOM dependency mapping, powering GenAI-driven DevSecOps automation and millions in enterprise cost savings.
Prototype for a Java database application with REST and security using Spring Boot and containers for testing, using Keycloak for security and PostgreSQL for persistence.
This article documents a simple approach on how you can implement outbound filtering capabilities in your VPC network by simply configuring your DNS and an ALB.
This article details exclusive host configurations, API-based control, templating improvements, logging, metrics, and modular SCM design for flexible system management.
This guide provides a complete checklist to assess, monitor, and improve data quality for AI success, ensuring accuracy, compliance, and long-term reliability.
Microsoft’s Azure IoT platform has emerged as a leading choice, powering innovative solutions across industries — from manufacturing floors to smart buildings.