Mega Sekurak Hacking Party Sets New Record with First-Ever Two-Day Cybersecurity Conference in Krakow

GRC Professionals Must Master Data Literacy Agent Governance and Communication to Survive AI Automation

The article argues that AI agents are already performing core GRC tasks such as control testing evidence collection and framework mapping at increasing speed and scale. Rather than replacing GRC managers outright the shift moves human roles toward directing and governing these agents through three critical skills. Data literacy is presented as foundational because agents produce unreliable outputs when fed poor quality inputs like screenshots or stale exports. Agent governance requires treating each AI system like a direct report with defined KPIs accuracy thresholds and escalation rules. Communication skills become essential to maintain auditability as agents hand off work to one another without human intervention. The piece is sponsored by Anecdotes and urges immediate reskilling while emphasizing that the GRC manager who learns to use AI will replace the one who does not.

US Government Agencies Warn of Cyber Attacks Targeting Industrial Refrigeration and Cold Chain Systems

The Cybersecurity and Infrastructure Security Agency (CISA), along with the FBI, HHS, USDA, and DoT, has issued a joint fact sheet highlighting malicious cyber activity aimed at industrial refrigeration and cold chain monitoring systems worldwide. These systems are widely deployed across the Healthcare and Public Health, Chemical, Food and Agriculture, and Transportation Systems sectors for temperature monitoring, logging, defrost management, and energy optimization. Attackers are exploiting vulnerabilities such as authentication bypass, arbitrary code injection, and weak configurations in unpatched or internet-exposed controllers. Successful exploitation allows threat actors to alter temperature settings, force continuous heating and defrost cycles, cause inventory loss, create fire hazards, and induce denial-of-view conditions. The advisory strongly recommends immediate implementation of mitigations aligned with the Cross-Sector Cybersecurity Performance Goals (CPGs) developed by CISA and NIST, including eliminating public internet exposure, isolating OT devices, enforcing strong authentication, applying patches, and maintaining offline backups.

EU AI Act Turns Inherited AI Systems into Major Liability Risks During Corporate Acquisitions

The EU AI Act creates significant new compliance and liability challenges for buyers in M&A transactions by regulating the use of AI systems rather than their development. Many common business tools in HR, biometrics, and production control now fall under high-risk categories, requiring careful due diligence that is often overlooked. The regulation applies staggered deadlines, with general-purpose AI model obligations effective from August 2026 and high-risk system rules phasing in through 2028. Penalties can reach 35 million euros or 7 percent of global annual turnover for prohibited practices. The article highlights the need for updated purchase agreements that address AI risk classification, documentation, registration, and post-closing modifications that may trigger new obligations. Cross-border deals face additional complexity due to differing national enforcement structures between Germany and Italy.