Criminal IP Introduces AITEM for AI-Powered Threat Exposure Management
Summary
Criminal IP introduced AITEM, an AI-powered approach that combines threat intelligence and exposure data to help security teams detect, investigate, prioritize, and act on risks across external and internal environments.
Key points
- AITEM extends attack surface management beyond external asset discovery to include open-source intelligence, dark web data, internal infrastructure, Shadow AI, leaked data, and emerging vulnerabilities.
- The approach applies AI across detection, investigation, prioritization, and automation, including natural-language investigation and routing findings into alerts, tickets, and workflows.
- Criminal IP says prioritization will combine organization-defined risk criteria with exploitability and attacker activity rather than relying only on generic risk scores.
- The platform draws on threat intelligence such as exposed services, vulnerabilities, abuse history, scanner activity, threat attribution, and malicious infrastructure.
- AI SPERA CEO Byungtak Kang is scheduled to present a case study on AI-driven attack surface management at GovWare 2026.
Article Details
- Event Type
- AI SPERA announced AITEM, its vision for an AI-powered threat exposure management approach evolving from traditional attack surface management.
- Impact
- AITEM is designed to connect exposure findings across external assets, open-source intelligence, dark web data, internal infrastructure, Shadow AI, leaked data, and emerging vulnerabilities, and help security teams investigate, prioritize, and respond. The article reports intended capabilities, not measured outcomes.