System and method for telemetry data based event occurrence analysis with adaptive rule filter

A system comprising:

• a processor;
• and
• a memory with computer code instructions stored thereon, the processor and the memory, with the computer code instructions, being configured to cause the system to:
• receive telemetry data and a rule associated with the telemetry data, the rule defining at least one perimeter filter and at least one deep filter for processing the telemetry data;
• modify a rule engine in accordance with the received rule, the modified rule engine configured to automatically switch between the at least one perimeter filter and the at least one deep filter;
• and
• process the received telemetry data with the modified rule engine to determine occurrence of an event.

A non-transitory computer program product, the computer program product executed by a server in communication across a network with one or more clients and comprising:

• a computer readable medium, the computer readable medium comprising program instructions, which, when executed by a processor, causes the processor to:
• receive telemetry data and a rule associated with the telemetry data, the rule defining at least one perimeter filter and at least one deep filter for processing the telemetry data;
• modify a rule engine in accordance with the received rule, the modified rule engine configured to automatically switch between the at least one perimeter filter and the at least one deep filter;
• and
• process the received telemetry data with the modified rule engine to determine occurrence of an event.