ElevenAgents update: automated validation and collaborative development
ElevenLabs has added automated procedure validation and team collaboration tools for configuring voice AI agents.
VOICEIP JOURNAL / EXPERT
Software and integration reviewer
A VoiceIP editorial profile. This collection covers software development and systems integration.
ElevenLabs has added automated procedure validation and team collaboration tools for configuring voice AI agents.
Historical contributions with their original publication dates and URLs.
How critical infrastructure operators can adapt the NIST AI RMF 1.0 framework to defend against specific AI threats and integrate it into corporate cybersecurity.
How to protect corporate LLM integrations from data leaks and new attack vectors using NIST AI RMF, MITRE ATT&CK frameworks, and Security by Design architecture.
A practical approach to overcoming SOC alert fatigue through MITRE ATT&CK mapping, SOAR automation, and NIST CSF 2.0 business prioritization.
Cloaking hides signs of website compromise by displaying spam content only to search bots. We analyze the threat mechanics and detection methods using Google Search Console.
Unusual gambling queries in Google Search Console indicate website compromise via cloaking. Learn how to detect hidden SEO spam and protect your domain.
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 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.
CERT-UA warns of intensified cyberattacks targeting critical infrastructure. We examine new attacker tactics and effective defense strategies based on Zero Trust architecture.
The Miasma attack on Red Hat's npm packages highlights supply chain risks and credential theft, which are critical for AI integration security.
Protecting AI services from prompt injection and data leaks in 2026 requires a comprehensive approach and integration with existing cybersecurity tools.
The increasing number of cyberattacks on critical infrastructure necessitates a reevaluation of approaches to securing IoT and SCADA systems. Emerging challenges for 2026 demand integrated solutions and continuous monitoring.
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.