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AITEM, short for AI-Powered Threat Exposure Management, is Criminal IP’s approach to evolving attack surface management (ASM) beyond finding exposed assets. Its announced workflow connects threat detection to investigation, risk prioritization, and response. Criminal IP describes AITEM as an approach to ASM’s evolution—not as a separately available product with every announced capability confirmed for general use.
What is AITEM?
In its October 6, 2026 announcement, Criminal IP describes AITEM as a way to move from discovering an organization’s exposed assets to understanding their context and helping teams act on the risks. The name stands for AI-Powered Threat Exposure Management. The company’s stated premise is that identifying a threat and responding to it are different challenges. Its CEO, Byungtak Kang, said, “Seeing a threat and responding to it are completely different challenges.” Criminal IP’s announcement presents the workflow as the company’s approach; it does not report independent testing of its effectiveness.
How does AITEM differ from traditional ASM?
ASM commonly focuses on identifying internet-facing assets and exposures. Criminal IP’s AITEM description extends that work into investigation, context-aware prioritization, and routing findings toward response. Kang also said, “The competition in ASM is no longer about who finds the most assets.” That is the company’s characterization, not an independently established industry finding.
The announced scope includes external assets, OSINT, dark-web data, internal infrastructure, Shadow AI, leaked data, and emerging vulnerabilities. Criminal IP says relevant context can include open ports, exposed services, vulnerabilities, connected infrastructure, abuse history, scanner activity, threat attribution, and malicious infrastructure. The company describes four stages:
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Detect
Connect emerging threats and vulnerabilities to products, services, and assets in an organization’s environment, rather than treating an alert as an isolated item.
Investigate
Let security teams examine assets, exposures, vulnerabilities, and findings in natural language, bringing related context together to help them understand an issue.
Prioritize
Use organization-defined risk criteria together with real-world exploitability and attacker activity. This is intended to go beyond relying only on generic vendor risk scores.
Automate
Route prioritized findings into alerts, tickets, and workflow actions for the teams responsible for them. The announcement describes this as part of the approach; it does not establish how effectively or broadly these workflows operate in practice.
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What capabilities has Criminal IP described?
The October announcement outlines the broad scope above. In a June 11, 2026 announcement, Criminal IP described more specific examples as envisioned elements of the AITEM framework:
- Use information in internal tools such as Slack, Confluence, Jira, and email to help identify asset owners.
- Map newly disclosed CVEs to live external assets.
- Monitor unauthorized AI tool use through firewall log analysis and domain intelligence.
- Suggest mitigation paths or escalation tickets when immediate patching is not possible.
These examples illustrate the intended connection between exposure discovery, internal context, and response. They should not be read as confirmation that each capability is currently offered. The June announcement explicitly presented AITEM as a conceptual framework.
Is AITEM available as a product?
Criminal IP’s official ASM product page describes an existing web-based service with continuous asset discovery, threat intelligence and risk context, vulnerability validation, alerts, and monitoring. It says customers can register assets manually or use automatic detection and invites prospective customers to request a demo.
That page establishes the commercial availability of Criminal IP ASM as described by the company; it does not establish that AITEM is a standalone product, provide AITEM pricing, or confirm that all capabilities in the AITEM announcements are generally available. The announcements and product page are company materials, not independent validation of performance, customer outcomes, or comparative superiority. They provide no named AITEM result for adoption, effectiveness, or market size.
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How to evaluate an exposure-management approach
When comparing tools or approaches, look beyond the number of assets discovered. The distinctions raised by Criminal IP’s workflow suggest checking:
- Discovery scope: Which external assets and internal environments can it identify, and how are changes detected?
- Threat context: Does it connect exposures to intelligence such as exploitability, attacker activity, or malicious infrastructure?
- Prioritization: Can teams apply their own risk criteria, and what evidence supports a finding’s urgency?
- Ownership and integrations: Can the system help identify responsible teams and connect findings to the internal tools they use?
- Response routing: Can prioritized findings be sent into alerts, tickets, or other workflows, and what actions remain manual?
- Availability: Which functions are usable now, and which are described as conceptual, planned, or dependent on configuration?
These are evaluation questions derived from the announced workflow, not published benchmark results. For any vendor, confirm availability and integration details directly before relying on a capability in an operational process.
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