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Torrance, United States / California, June 11th, 2026, CyberNewswire
Criminal IP by AI SPERA, a cyber threat intelligence platform offering actionable insights and attack surface visibility to security teams globally, took part in Infosecurity Europe 2026 at ExCeL London this week, signifying the company’s second successive presence at Europe’s premier cybersecurity conference.
In addition to live showcases of Criminal IP’s Attack Surface Management (ASM) features, the company unveiled AITEM (AI-based Threat Exposure Management), a conceptual framework symbolizing the next stage of exposure management in a world increasingly influenced by AI.
From Visibility to Action: Why ASM Must Evolve
Conventional ASM tools have fulfilled a vital role: assisting organizations in identifying internet-facing assets such as servers, domains, IP addresses, and admin panels, prior to attackers. However, mere discovery is no longer sufficient.
“Identifying a threat and tackling it are entirely distinct challenges,” stated Byungtak Kang, CEO of AI SPERA. “Creating a safer cyberspace necessitates a transition from visibility to action. Nowadays, organizations possess greater visibility than ever, but fewer can effectively prioritize and act on the risks it uncovers. By employing AI to filter out distractions, enhance context, and steer investigations, security teams can concentrate on the exposures that are most significant and respond promptly, converting insight into tangible action.”
The divide between detection and action has become even more pressing as AI lowers the barriers for attackers. Automated scanning, published proof-of-concept exploit codes, and AI-assisted vulnerability identification enable threat actors to pinpoint and target exposed assets at an unprecedented speed.
In this context, Criminal IP posits that AI agents will increasingly take on repetitive operational chores that currently burden security teams — gathering context, correlating data, and assisting in routine investigative tasks — empowering analysts to concentrate on decision-making, prioritization, and response. This redesign of labor dynamics between humans and AI captures one of the fundamental concepts behind AITEM.
Introducing AITEM: A Conceptual Framework for AI-Driven Threat Exposure Management
AITEM, as presented by Criminal IP, anticipates the incorporation of agentic AI into the complete CTEM (Continuous Threat Exposure Management) operational cycle, progressing beyond asset inventory to include threat prioritization, ownership attribution, vulnerability impact evaluation, and guided remediation.
Essential capabilities anticipated under the AITEM framework encompass:
- Natural language security operations — Security teams managing workflows using straightforward language instead of manually setting intricate query logic or alert protocols.
- Automated asset owner identification — When a novel external asset is identified, AI agents extract information from internal platforms such as Slack, Confluence, Jira, and email to track ownership and accountable teams — removing one of the most labor-intensive steps in current ASM operations.
- CVE impact triage — Instead of manually reviewing every new vulnerability, AI persistently observes newly disclosed vulnerabilities and threat intelligence from worldwide security sources, automatically mapping emergent CVEs to the organization’s active external asset inventory and highlighting only the exposures that demand immediate action.
- Shadow AI detection — As employees increasingly utilize unapproved AI services, those services become integral to the organization’s attack surface. AITEM envisions supervising unauthorized AI tool usage via firewall log analysis and domain intelligence.
- Guided remediation — When immediate patching is impractical, the system proposes mitigation strategies: strengthening configurations, disabling vulnerable components, or generating context-driven escalation tickets.
AITEM is not yet an officially recognized industry category. It serves as a framework Criminal IP is presenting to articulate the future direction of ASM and what Criminal IP ASM is being designed to achieve.
CEO Presentation: From Visibility to Threat Hunting
At Infosecurity Europe 2026, CEO Byungtak Kang presented a case study session titled “From Visibility to Threat Hunting: A Case Study of AI-Driven Attack Surface Management” as part of the official conference program, marking his second consecutive time participating in the event.
Leveraging real-world scenarios, the session investigated how threat intelligence and attack surface visibility can facilitate more rapid investigations and enhance security operations. The launch of AITEM broadened this dialogue by questioning what lies ahead.
The Broader Industry Shift
The trajectory Criminal IP is embarking on with AITEM corresponds to trends observed throughout the global security industry. Even at RSAC 2026, agentic AI, AI SOC, and shadow AI detection surfaced as pivotal themes, with major vendors including Cisco/Splunk, Microsoft, and CrowdStrike all indicating a transition from isolated tools toward integrated, AI-enhanced security operations.
“The competition in ASM is no longer about identifying the most assets,” remarked Kang. “It will now revolve around who can operate more swiftly, respond more adeptly, and mobilize the organization. AI should manage the repetitive analytical tasks. Humans should dedicate their efforts to judgment, accountability, and prioritization.”
About Criminal IP by AI SPERA
Criminal IP represents a cyber threat intelligence solution managed by AI SPERA that delivers decision-ready threat intelligence and attack surface management solutions to security teams worldwide.
Through continuous scanning of the global internet, Criminal IP aggregates and contextualizes threat signals across IPs, domains, URLs, and attack infrastructures, encompassing malicious indicators, known vulnerabilities, exposed assets, and perpetrator behaviors.
Criminal IP’s goal is to provide organizations with clear visibility into their cyber environment and expedite threat detection and response by furnishing the intelligence necessary to outsmart attackers. For more details, users can visit www.criminalip.io
Contact
Michael Sena
AI SPERA
support@aispera.c
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