Introduction Networks today are far more dynamic, complex, and demanding than ever before. With cloud-native deployments, multi-vendor stacks, edge computing, and real-time service-level demands, traditional rule-based automation often struggles. Enter Agentic AI — systems that don’t just react, but reason,…
August 2025 delivered another sobering month in cyber defense. Publicly disclosed breaches and attacks climbed, ransomware crews stayed aggressive, and several high-profile enterprises confirmed intrusions tied to third-party SaaS (notably Salesforce). Below is a clear, no-nonsense wrap-up of the month:…
Introduction Cloudflare, the web infrastructure and security company that millions of websites depend on for protection, performance, and reliability, recently experienced a serious outage. The cause? A massive Distributed Denial of Service (DDoS) attack that overwhelmed parts of its network,…
In today’s interconnected digital landscape, managing cybersecurity risks is no longer optional—it’s a necessity. To address this, the National Institute of Standards and Technology (NIST) developed a Risk Management Framework (RMF) to help organizations systematically identify, assess, and mitigate risks.…
Introduction As artificial intelligence systems grow more intricate, the art of getting them to work reliably has evolved beyond simply composing the right prompt. In the video “Context Engineering vs. Prompt Engineering: Smarter AI with RAG & Agents”, Tina Huang…
Introduction As AI systems become more pervasive, understanding how they organize decision-making—whether through autonomous agents or structured expert ensembles—is essential. The video “AI Agents vs Mixture of Experts: AI Workflows Explained” clarifies these contrasting architectures and their applications. 1. What…
Introduction As Large Language Models (LLMs) increasingly power enterprise systems—from customer service bots to content generators—securing them has become an urgent priority. The video “AI Model Penetration: Testing LLMs for Prompt Injection & Jailbreaks” underscores that LLMs must be treated…
Introduction As large language models (LLMs) grow in adoption across industries—in chatbots, knowledge management systems, and automated customer interactions—the imperative to fortify them against misuse becomes paramount. The video “LLM Hacking Defense: Strategies for Secure AI”, featuring IBM’s Jeff Crume,…
Introduction As cyber threats evolve, security teams face growing pressure to detect, investigate, and respond faster than ever. The sheer volume and complexity of alerts often overwhelm human analysts. Enter AI agents—autonomous systems that learn, reason, act, and adapt—offering a…
1. Introduction Anomalies—the sudden deviations or abnormal behaviors in IT systems—pose critical risks, often causing unexpected outages, performance degradation, or security breaches. Traditional monitoring tools generate vast volumes of telemetry, making it challenging to pinpoint root causes quickly. The IBM-led…
