Japanese Cybersecurity Conference to Feature AI-Driven Exposure Monitoring and Digital Risk Investigation

Cybersecurity company AI SPERA will demonstrate its Criminal IP Threat Intelligence and AITEM platforms at Security Days Fall 2026, scheduled for October 21–23 at the TAKANAWA GATEWAY Convention Center in Tokyo.


The company plans to present practical approaches to identifying internet-facing assets, investigating suspicious infrastructure, and prioritizing cybersecurity risks using artificial intelligence and external threat data.


Visitors can explore both platforms through live demonstrations at booth B20.


Combining External Asset Discovery With Cyber Threat Analysis

As organizations expand their cloud environments and digital partnerships, their exposure increasingly extends beyond systems directly managed by internal IT teams.


Identifying Infrastructure That Attackers Can Reach

AI SPERA's Criminal IP Threat Intelligence platform collects and analyzes information associated with IP addresses, domains, URLs, known vulnerabilities, and potentially malicious infrastructure.


According to the company, the service helps security analysts investigate suspicious indicators, assess infrastructure reputation, and identify connections to cybercriminal activity.


Its API-oriented architecture is designed to support integration with existing security operations and threat investigation workflows.


AI-Assisted Prioritization Targets High-Risk Exposures

The company's second offering, Criminal IP AITEM, focuses on AI-powered threat exposure management.


Continuous Monitoring Supports Risk-Based Decisions

AITEM combines external attack surface discovery with threat intelligence to help organizations identify publicly accessible services and potentially vulnerable assets.


AI-assisted analysis is intended to distinguish exposures requiring immediate attention from lower-priority findings.


The platform also addresses risks involving affiliated companies and third-party suppliers, where weaknesses outside an organization's direct control may introduce additional security concerns.


Demonstrations Will Highlight Operational Use Cases

AI SPERA plans to demonstrate how its platforms support common security investigation and exposure management activities.


Dark Web Monitoring and Infrastructure Investigation

The scheduled demonstrations include identifying exposed domains and services, investigating malicious IP addresses, analyzing vulnerability information, and detecting potentially leaked information on the dark web.


Attendees will also see how threat intelligence can provide additional context for security findings and support response prioritization.


AI SPERA CEO Byungtak Kang emphasized the importance of understanding not only which systems are exposed but also how those exposures relate to credible threats.


Security Teams Seek Better Context for Growing Attack Surfaces

The event reflects increasing enterprise interest in combining external asset management, threat intelligence, and AI-assisted security analysis.


Product Effectiveness Still Requires Independent Evaluation

While AI SPERA describes capabilities intended to improve investigation efficiency and risk visibility, the announcement does not include independently verified detection rates, performance benchmarks, or measured customer outcomes.


Organizations evaluating these platforms should assess data coverage, false-positive rates, integration requirements, and the accuracy of AI-generated risk prioritization.


The central value of this approach lies in connecting asset visibility with actionable threat context, enabling security teams to focus remediation efforts on exposures most relevant to their environment.