CIC Corporation has announced a new security information analysis service, “AiSECU.” This service uses AI technology to quickly and precisely analyze vast amounts of cybersecurity data and provide users with risk analysis results. This service strengthens the cybersecurity of companies and individuals, enabling quick and effective responses.
“AiSECU” uses AI algorithms to perform detailed analysis based on the payload data entered by the user and past attack patterns. This significantly reduces the time required for traditional direct security analysis, and supports faster decision-making. Furthermore, by analyzing past attack patterns, it is possible to take appropriate measures in advance.
Advanced models using AI technology
“AiSECU” uses three different AI models for cybersecurity risk analysis and prediction. These models use AI technology to perform more accurate risk predictions and present the results in a format that is easy for users to understand.
Also Read: NEC Boosts Cybersecurity for Japan’s Digital Infrastructure
Classification AI model
The classification AI model is trained using high-quality training data. This AI model determines its own criteria for determining whether or not an attack has occurred and detects signs of a cyber attack.
Explainable AI Models
An explainable AI model is a process for explaining the results of AI detection. This model can show which attack features the AI based its prediction on and their impact.
Generative AI Models
The generative AI model leverages large-scale language models to combine the results of the classification AI and explainable AI models to output the results in natural language in an easy-to-understand format.
SOURCE: PRTimes
