Torrance, California, October 6th, 2026, CyberNewswire
In a significant move within the cybersecurity landscape, Criminal IP, a cyber threat intelligence platform developed by AI SPERA, is set to participate in GovWare 2026 in Singapore. The platform has been instrumental in delivering decision-ready intelligence and attack surface visibility to security teams around the globe. This event marks a pivotal moment as organizations strive to evolve their security operations beyond mere asset discovery to a more comprehensive understanding of their cyber exposure.
Criminal IP will unveil AITEM (AI-Powered Threat Exposure Management), which represents a forward-thinking approach to the next generation of Attack Surface Management (ASM). As cyber threats become increasingly sophisticated and prevalent, the need for enhanced management solutions is paramount. Traditional ASM tools have historically focused on identifying internet-facing assets such as servers, domains, IP addresses, and admin panels. However, these practices are rapidly becoming insufficient in the face of modern cyber threats.
Byungtak Kang, the CEO of AI SPERA, articulated a central challenge confronting organizations today: transforming visibility into actionable responses. “Seeing a threat and responding to it are completely different challenges,” he stated. Kang emphasized the necessity for a shift from merely observing potential threats to taking effective action against them. While organizations today possess an unprecedented level of visibility into their systems, many struggle with prioritizing and acting on the risks these insights reveal. Leveraging AI to sift through the noise and enrich contextual understanding is vital. Such advancements allow security teams to concentrate on the most critical exposures and respond promptly, turning strategic insights into impactful actions.
The urgency for streamlined threat response mechanisms has become even more pronounced as advancements in AI have lowered entry barriers for attackers. With automated scanning, publicly available proof-of-concept exploit code, and AI-assisted vulnerability identification, malicious actors can now target exposed assets with alarming speed. Consequently, the challenge for defenders is no longer limited to visibility but extends to the rapidity of their response.
The introduction of AITEM expands the horizons of traditional ASM beyond the inventory of external assets. It harnesses the power of Criminal IP’s threat intelligence, providing a comprehensive overview of exposure that encompasses external assets, open-source intelligence, dark web data, internal infrastructure, Shadow AI, and revealed vulnerabilities. Unlike conventional approaches that stop at simple discovery and generic risk assessments, AITEM aims to interconnect fragmented findings, offering the necessary context for security teams to investigate, prioritize, and execute responses effectively.
AITEM integrates AI into four critical stages of exposure management:
- Detect: This stage focuses on linking emerging threats and vulnerabilities to pertinent products, services, and assets within an organization.
- Investigate: It empowers security teams to delve deep into assets, vulnerabilities, and security findings using natural language, consolidating relevant context in a centralized platform.
- Prioritize: AITEM evaluates exposure based on criteria defined by the organization, taking into account real-world exploitability and actual attacker activities rather than relying solely on generic vendor risk scores.
- Automate: This stage converts prioritized findings into actionable alerts, tickets, and workflow processes that can be swiftly assigned to the appropriate teams, thereby accelerating the transition from detection to response.
At the heart of AITEM lies an emphasis on threat intelligence, which enriches exposure management to extend beyond superficial vulnerability data. By categorizing open ports, exposed services, vulnerabilities, and leveraging threat attribution, security teams can gain a holistic view of the landscape. This understanding not only clarifies what is exposed but also contextualizes the surrounding threats and their significance.
During GovWare 2026, Byungtak Kang is scheduled to deliver a presentation titled “From Visibility to Threat Hunting: A Case Study of AI-Driven Attack Surface Management.” This session will draw upon real-world examples to demonstrate how refined threat intelligence and enhanced visibility into attack surfaces can facilitate quicker investigations and bolster security operations. It will also highlight the imperative transition from merely discovering exposure to possessing a comprehensive understanding that drives prompt action.
Criminal IP’s approach with AITEM is emblematic of a broader trend permeating the global security industry. Recent conferences like RSAC 2026 underscored emerging themes such as agentic AI and the move towards integrated, AI-powered security operations. As the competitive landscape in ASM evolves, Kang notes, “The competition in ASM is no longer about who finds the most assets; it’s about who can operate faster and respond more effectively.” In this new paradigm, AI is envisioned to handle repetitive analytical tasks, freeing human operators to focus on judgment, accountability, and prioritization.
About Criminal IP by AI SPERA: This cyber threat intelligence solution aims to equip security teams with decision-ready insights and attack surface management capabilities. By perpetually scanning the global internet, Criminal IP compiles and contextualizes threat signals from IPs, domains, URLs, and attack infrastructure, including known vulnerabilities and malicious behaviors. The organization’s mission is to provide visibility into the cyber landscape while expediting threat detection and response, thereby empowering entities to outsmart potential attackers. For further details, visit www.criminalip.io.