Rule-based and endpoint detection and response (EDR) solutions suffer from rule-inflation issues that can make them unwieldy or unmanageable. Introducing CylanceOPTICS, a first-of-a-kind, AI-driven incident prevention solution for the endpoint.
Unique malware can quickly proliferate using properties like polymorphism, or through easy-to-use threat generation tools offered by ransomware-as-a-service (RaaS).
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Each new malware strain demands new detection rules, further requiring security analysts to maintain rapidly expanding detection-rule sets.
Cylance is introducing a new way to detect and respond to security incidents. CylanceOPTICS uses artificial intelligence and machine learning threat detection modules to continuously analyze the changes occurring on each endpoint.
This approach to EDR offers significant advantages over human analysts who function with limited visibility, massive rule sets, and resource constraints.
// Return false to prevent the submission handler from taking the lead to the follow up url
*** This is a Security Bloggers Network syndicated blog from Cylance Blog authored by The Cylance Team. Read the original post at: https://threatvector.cylance.com/en_us/home/webinar-ai-driven-incident-prevention-in-cylanceoptics.html