Enterprise developer: from code to AI system management
AI-native development is transforming the role of the enterprise developer in 2026-2027, shifting focus from writing code to managing AI systems, security, and domain-specific models.
Information Security
Ideas and experience in communications, technology and customer service.
Oracle PeopleSoft vulnerability exploited in university data breach
A critical zero-day vulnerability, CVE-2026-35273, in Oracle PeopleSoft has been exploited by the ShinyHunters group to compromise educational institutions, highlighting the ongoing risks associated with legacy ERP systems.
CERT-UA: New UAC-0057 Toolkit and Countermeasures
CERT-UA has reported on new tooling used by the UAC-0057 group. We examine the technical aspects of OYSTERFRESH, OYSTERSHUCK, and OYSTERBLUES, along with practical recommendations for defense.
Microsoft 365 Token Theft on Android: Lessons for Zero Trust and NIS2 Compliance
A vulnerability in Microsoft 365 Android apps allows account token theft via a residual debug flag, necessitating immediate security measures and NIS2 compliance.
Cyber threats to critical infrastructure: defending against new attacker tactics
CERT-UA warns of intensified cyberattacks targeting critical infrastructure. We examine new attacker tactics and effective defense strategies based on Zero Trust architecture.
Supply chain security lessons for AI integrations
The Miasma attack on Red Hat's npm packages highlights supply chain risks and credential theft, which are critical for AI integration security.
AI security platform: protecting AI services from prompt injection and data leaks
Protecting AI services from prompt injection and data leaks in 2026 requires a comprehensive approach and integration with existing cybersecurity tools.
AI drives compliance audit automation
AI-driven compliance is transforming ISO/IEC 27001 and SOC 2 audits by automating evidence collection and non-compliance detection.
Zero Trust for legacy systems: migration or adaptation?
Implementing the Zero Trust model for legacy systems presents a critical challenge, requiring in-depth analysis of architecture and business processes. The key question remains the choice between full migration and adapting existing solutions.
DLP for AI Systems: The New Cybersecurity Reality of 2026
By 2026, over 70% of new AI systems will experience data breaches due to inadequate Data Loss Prevention (DLP) integration, necessitating a reevaluation of sensitive information protection in the age of artificial intelligence.
Zero Trust for legacy systems: adaptation or full replacement by 2026?
Amidst growing cyber threats and tightening regulatory requirements, the Zero Trust concept is becoming critically important for corporate data protection. This issue is particularly acute for legacy systems, which form the foundation of many organizations.