News, Article, and Solution in Cybersecurity Realms.

A penetration testing report with 200 findings might look impressive. But what if some findings cannot be reproduced, several describe the same underlying weakness and the most serious exposure is buried halfway down the list? The number of findings makes a poor measure of security. What matters is whether the testing reveals exploitable weaknesses, demonstrates their potential impact and gives the organisation enough evidence to decide what to fix first. As AI becomes part of security testing workflows, this distinction deserves more attention. Automation can help teams examine larger sets of assets and accelerate parts of an assessment. Yet faster testing only creates value when the results are reliable. A FRESH REMINDER FROM AI SECURITY TESTING On 20 October 2026, the OWASP GenAI Security Project published version 1.0 of its GenAI Red Teaming Manual. Its eight-phase methodology covers planning, reconnaissance, attack surface mapping, exploitation, persistence, impact assessment, reporting and remediation. The manual emphasises reproducible findings and measurable outcomes when evaluating generative AI systems. OWASP's announcement [https://genai.owasp.org/resource/genai-red-teaming-manual-version-1-0/?utm_source=chatgpt.com] offers a timely reference for organisations building

A response plan can look excellent in a document. Roles are assigned, escalation paths are mapped and recovery procedures are neatly organised. Then a suspicious login becomes a suspected ransomware incident, the business asks whether customer data is affected and three departments need answers at once. Suddenly, the test is less about remembering a procedure and more about knowing what to do next. That gap between documented processes and actual performance is why cybersecurity exercises deserve a place in workforce development. They give organisations a controlled way to test how people apply their knowledge, coordinate with colleagues and make decisions when information is incomplete. TRAINING NEEDS A REHEARSAL, NOT JUST A CLASSROOM The European Union Agency for Cybersecurity (ENISA) published its Cybersecurity Exercise Methodology in February 2026 to help organisations plan, conduct and evaluate exercises. The guidance covers the exercise lifecycle and provides tools for identifying weaknesses and turning lessons into improvements. ENISA's methodology [https://www.enisa.europa.eu/news/cybersecurity-preparedness-diy-build-your-own-cybersecurity-exercise?utm_source=chatgpt.com] offers a useful starting point for organisations that want training to produce measurable operational benefits. The approach reflects a

Most employees have seen a phishing warning. They know to look for unusual links, unexpected attachments and messages that create urgency. Yet when a convincing message arrives during a busy workday, remembering the advice and acting on it are two different things. A message may look routine, appear to come from a senior colleague or arrive just as someone is rushing to meet a deadline. That gap between awareness and action is worth addressing. In its 30 September 2026 release, the European Commission reported that 74% of EU employees had encountered suspicious emails, messages or links at work in the previous six months. Phishing was the most commonly reported threat, affecting 39% of respondents. The survey also found that only 48% felt able to recognize an AI-generated fake video. ENISA's summary of the findings adds another important detail: only 45% of employees said their organization provided regular cybersecurity awareness updates, while 85% expressed interest in improving their skills. Lack of time was the most frequently reported barrier to training, cited