Over the weekend I went trough my notes I have created after I passed the certification and created over 200 practice questions. If you are preparing for this certification, you will find everything here. Otherwise each section has their own testing questions at the end of the lectures.

🤖 AI Agent Discovers Critical 9.8 RCE Vulnerability What happened: For the first time, a critical vulnerability (CVE-2026-21536, CVSS 9.8) was discovered by a fully autonomous AI penetration-testing agent named XBOW. The flaw was identified without direct access to source code, demonstrating that AI agents can independently detect complex vulnerabilities through automated analysis and fuzzing techniques. 🔗 https://krebsonsecurity.com/2026/03/microsoft-patch-tuesday-march-2026-edition/ 🛡️ OpenAI Releases ‘Codex Security’ for Automated Code Auditing What happened: OpenAI launched a research preview of Codex Security, an AI agent designed to analyze enterprise repositories and identify vulnerabilities before attackers can exploit them. The system can automatically scan codebases, generate proof-of-concept exploits, and suggest fixes—aiming to strengthen software supply-chain security and automate vulnerability remediation workflows. 🔗 https://openai.com/index/codex-security-now-in-research-preview/ 🩹 Microsoft March Patch Tuesday Fixes 80+ Vulnerabilities What happened: Microsoft’s March Patch Tuesday addressed over 80 security flaws, including the publicly disclosed SQL Server privilege-escalation vulnerability CVE-2026-21262. Successful exploitation could allow attackers with limited access to escalate privileges and gain sysadmin-level control over database environments, making rapid patching critical. 🔗 https://www.bleepingcomputer.com/news/microsoft/microsoft-march-2026-patch-tuesday-fixes-2-zero-days-79-flaws/ 🌪️ Handala Group Claims Destructive Attack on Stryker What happened: The Iran-aligned hacker group Handala claimed responsibility for a destructive cyberattack against medical manufacturer Stryker. By compromising the organization’s Microsoft Intune environment, attackers reportedly wiped thousands of endpoints and disrupted operations—though patient-connected devices were not impacted.

Here’s your clean roundup of the most important cybersecurity and AI-security developments from the past week. This cycle highlights the rapid rise of AI-driven vulnerability discovery, autonomous security tooling and the growing strategic battle over AI infrastructure. 🤖🛡️ OpenAI Launches ‘Codex Security’ Agent to Find and Fix Vulnerabilities What happened: OpenAI introduced Codex Security, an AI-powered agent designed to automatically analyze repositories, identify vulnerabilities, validate them in sandbox environments, and propose fixes. During early testing it scanned over 1.2 million commits and identified more than 10,000 high-severity security issues, while reducing false positives by validating findings within the system context. 🔗 https://thehackernews.com/2026/03/openai-codex-security-scanned-12.html 🚀☁️ Amazon and OpenAI Announce $50 B Strategic AI Partnership What happened: Amazon and OpenAI revealed a massive $50 billion multi-year partnership to accelerate enterprise AI adoption. As part of the agreement, AWS will host OpenAI’s Frontier models and provide large-scale infrastructure, while the companies jointly develop a stateful runtime environment integrated into Amazon Bedrock, allowing enterprises to run persistent AI agents directly in AWS environments. 🔗 https://www.aboutamazon.com/news/aws/amazon-open-ai-strategic-partnership-investment 🦊🔍 Anthropic’s Claude Opus AI Discovers 22 Firefox Vulnerabilities What happened: Anthropic’s Claude Opus 4.6 uncovered 22 previously unknown security vulnerabilities in the Firefox browser, including 14 high-severity issues affecting memory safety and access boundaries. Mozilla patched most of them in Firefox 148, demonstrating how AI systems are rapidly becoming powerful tools for automated bug discovery in complex software ecosystems. 🔗 https://thehackernews.com/2026/03/anthropic-finds-22-firefox-vulnerabilities.html

I'm trying to put into all relevant lectures API Key in case you don't want to create your own. I might miss some places so please let me know, if you want to use it and can't find it on relevant lecture.

Here’s your clean, high-signal roundup of the most important cybersecurity and AI-security developments from the past week. This cycle highlights AI governance failures, dramatic shifts in attacker velocity, strategic defenses for AI systems, and novel threats targeting developers. 🤖⚠️ Microsoft Copilot Privacy Bug Exposed Confidential Emails What happened: Microsoft confirmed a bug in Microsoft 365 Copilot Chat that caused the AI to summarize emails labeled as “Confidential” even when data loss prevention (DLP) and sensitivity labels were configured to block access. The issue, tracked as CW1226324, affected the Copilot work-tab chat since late January and allowed Copilot to pull content from Sent and Draft email folders that should have been blocked by security policies. 🔗 https://www.bleepingcomputer.com/news/microsoft/microsoft-says-bug-causes-copilot-to-summarize-confidential-emails/ 🚀🔥 AI Arms Race: Attack ‘Breakout Time’ Falls to 29 Minutes What happened: The 2026 CrowdStrike Global Threat Report revealed a dramatic acceleration in AI-enabled cyberattacks, with total AI-leveraged adversary activity up 89 % year-over-year. The average breakout time — the interval from initial access to lateral movement — dropped to just 29 minutes, with the fastest observed breakout in under 30 seconds, as AI is employed for reconnaissance, credential theft, and evasion at machine speed. 🔗 https://www.crowdstrike.com/en-us/global-threat-report// 🧠🏗️ Microsoft Releases Threat Modeling Framework for AI Applications What happened: Microsoft published a comprehensive guide to threat modeling for generative and agentic AI systems, tailored for the unique risks of language-model-driven applications. The framework covers adversarial goals like prompt injection, training data poisoning, and model inversion, and is designed to help security architects integrate “secure-by-design” assessments early in the AI development lifecycle.