AI News NQ Analysis

AI Security Lab x Heartbeats Joint Webinar: Tackling the "Supply Chain Security Assessment System" with a Small Team – Achieving Sustainable Measures through AI Diagnosis and Professional Operations

NQ Score 63/100
N1 Content Completeness 7

AI Summary (NQ-processed)

AI Security Lab, provider of the cloud-based web application vulnerability diagnostic tool "AeyeScan," and Heartbeats, offering full-managed server monitoring and operation services, will co-host a webinar. The webinar focuses on strategies for the "Supply Chain Security Assessment System" by the Ministry of Economy, Trade and Industry, scheduled to start in fiscal year 2026. It will explain how small teams can implement sustainable security measures using AI-based vulnerability diagnosis and 24/7 human operational support, addressing challenges like personnel shortages and increased operational burden.

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Frequently Asked Questions

Q: What is the main challenge companies face regarding the upcoming Supply Chain Security Assessment System?
A: Companies are facing challenges in maintaining continuous risk management and security measures due to personnel shortages and increased operational load.
Q: When will the Ministry of Economy, Trade and Industry's Supply Chain Security Assessment System officially commence?
A: The Ministry of Economy, Trade and Industry's "Supply Chain Security Assessment System" is set to begin in fiscal year 2026.
Q: What is the primary goal of the joint webinar hosted by AI Security Lab and Heartbeats?
A: The primary goal is to present practical approaches for building a system to continuously implement security measures with a small team.
Q: How does the webinar propose to tackle the operational load and personnel shortages for security measures?
A: The webinar proposes utilizing AI-based vulnerability diagnosis and 24/7 human operational support to manage security measures with a small team.
Q: What key topics will be covered during the joint webinar on May 14, 2026?
A: The content includes an overview of the assessment system, priority measures, automation of diagnosis with AI, and considerations for in-house vs. outsourcing for operational support.