Information Security
AI risk management in critical infrastructure via NIST AI RMF 1.0
How critical infrastructure operators can adapt the NIST AI RMF 1.0 framework to defend against specific AI threats and ...
// expert
Fedir Tereschenko
Automation Practice Lead
Automation Practice Lead at voiceip.com.ua. Focuses on AI-телефонії, контакт-центрів, омніканальності та CRM/BPM-інтеграції and provides expert commentary on корпоративних комунікацій.
Information Security
AI in cybersecurity 2027: from perimeter defense to semantic DLP filters
How to protect corporate LLM integrations from data leaks and new attack vectors using NIST AI RMF, MITRE ATT&CK framewo...
Information Security
Building noise-free security monitoring with SIEM, SOC, and SOAR
A practical approach to overcoming SOC alert fatigue through MITRE ATT&CK mapping, SOAR automation, and NIST CSF 2.0 bus...
Information Security
How to detect cloaking on a compromised website
Cloaking hides signs of website compromise by displaying spam content only to search bots. We analyze the threat mechani...
Information Security
Casibom in Search Console: detecting corporate website compromise
Unusual gambling queries in Google Search Console indicate website compromise via cloaking. Learn how to detect hidden S...
Information Security
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 ...
Information Security
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, OYSTERS...
Information Security
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 effecti...
Information Security
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 A...
Information 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 wi...
Information Security
Protecting critical infrastructure from emerging IoT/SCADA threats
The increasing number of cyberattacks on critical infrastructure necessitates a reevaluation of approaches to securing I...
Information Security
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) integrati...