What is Anomaly Detection?
In simple terms, anomaly detection is the ability to dynamically monitor an ecosystem of assets (machines, networks, devices, processes) for any behavior that deviates from established baseline characteristics. This requires an AI-enabled ability to learn the normal operating behavior of an asset, continuously ingest data generated by the asset, and rapidly identify and label any anomalous data.
Security Anomaly Detection and MicroAI's AIStudio
As Artificial Intelligence continues to be integrated into new cyber-security solutions, data scientists and developers need a data-modeling platform that will expedite the AI technology evaluation process. AI investment hesitance is often exacerbated by the lack of ability to evaluate potential impact of an AI-enabled security solution by using the client’s existing asset data.
AIStudio provides data scientists and developers with a next-generation data modeling platform that delivers unparalleled power, speed, and agility. Existing data sets from machines, devices, and networks can be quickly ingested into AIStudio to evaluate the impact of AI models on that data.
Learn more about the power of AIStudio
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