Topic
SIEM
SOC Forum 2026: Experts Warn Generative AI Lowers Attacker Skill Barriers While Raising SOC Complexity
AI Security
From MTTD and MTTR to Real Value: How to Organize SOC Metrics Effectively
Policy & RegulationFSTEC Publishes 35-Point Network Perimeter Recommendations, Most Require No Spending
Policy & RegulationBuilding Information Security Culture: How Welcome Training Turned Rules into Engaging Dialogue
A large software development company transformed its approach to information security awareness by replacing formal policy sign-offs and portal documents with an interactive Welcome Training program. The 45-minute in-person sessions target developers, analysts, testers, product managers, and designers, focusing on real-world context, attack mechanics, and personal relevance rather than prohibitions. Training covers global and local threat landscapes, password policies, corporate email usage, sensitive data storage with VeraCrypt, secure credential sharing via pbin, file verification with VirusTotal, and social engineering defense. It also highlights existing corporate tools including Kaspersky Endpoint Security, Kaspersky Secure Mail Gateway, and SIEM systems to emphasize layered protection. The format has increased engagement, improved retention of guidelines, fostered conscious compliance, and noticeably reduced incidents stemming from human error. The company stresses that technology alone fails without employee understanding of why rules matter.
AI in Cybersecurity: Where It Delivers Real Value and Where It Remains Marketing Hype
The article examines how artificial intelligence is applied in information security, distinguishing genuine technological capabilities from vendor marketing claims. It explains the differences between classical correlation rules in SIEM systems, machine learning models for anomaly detection, and generative AI for analyst assistance. Real-world examples from Alfa-Bank highlight both successes in anti-fraud and UEBA systems and limitations when context or business understanding is required. The piece warns against inflated expectations that AI alone can replace SOC analysts or automatically investigate complex incidents. It concludes by identifying areas where AI genuinely reduces noise and processes large data volumes effectively.