AI/ML at AIONCLOUD
Threat Intelligence Hackers are evolving fast and developing new
attacks every day. AIONCLOUD has incorporated AI/ML technologies to enhance customer safety in the
rapidly evolving digital security landscape. AILabs, AIONCLOUD's new AI-based threat intelligence, is
designed to deliver improved digital visibility and security across various environments. AIONCLOUD’s
Threat Intelligence Platform, named Application Insight Labs (AILabs), is configured and operated in the
cloud and is enhanced through threat collection, analysis, processing, and distribution. AILabs collects
and processes unstructured data from multiple sources to provide valuable information. This allows the
users to share information obtained by post-analysis of incident cases and respond to various new and
modified attacks in the future.
AILabs works?
AILabs undergoes a sophisticated process in four stages—threat feed collection, analysis, processing, and
distribution—using a cloud-native platform. It collects and processes unstructured data from various
sources, such as network traffic, applications, and databases, to provide threat intelligence. Users can
share this intelligence, allowing them to proactively respond to new variations of attacks based on
post-analysis of past cybersecurity incidents.
AILabs offering
Threat investigation
Through the collection, analysis, curation, and distribution of threat intelligence AILabs, the security team can obtain information on attacker behaviors ahead of other security vendors.
Insights and visibility on adversaries
Provide precise information by offering insights and visibility into hundreds of millions of attack feeds and ongoing attack events AILabs collects, enabling corporate security teams to make better security decisions.
Simple integration with API
Provide the most recent insights into both known and unknown threats to existing security devices with API. Offer threat context for all incoming traffic through these security devices, assisting in driving threats prioritization and mitigation of current and future threats.
