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Detection Controls

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How The Picus Platform Optimises Threat Prevention

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Identifies visibility blindspots.
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Decreases attacker dwell time.
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Enables swiftlier threat mitigation.
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Operationalizes MITRE ATT&CK.
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Facilitates threat hunting.
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Reduces false positives.

Security Incident and Event Management (SIEM)

Alert Validation

In order to detect threats early and reduce attacker dwell time, it's also vital to ensure that appropriate SIEM correlation rules are in place to alert on the latest adversary behaviors. With the Picus Platform, quickly identify:

  • Missing, redundant and obsolete rulesets
  • Logged events that don't generate alerts
  • Delays between security events and alert generation

Log Validation

Without the right data it's impossible to identify threat activity in your networks. By simulating real-world threats and analyzing the security logs captured by your SIEM, The Picus Platform enables you to:

  • Determine in a timely fashion if logs from relevant sources are being ingested
  • Understand and prioritize new data sources required to address logging gaps
  • Ensure that logs contain the requisite level of data granularity

Endpoint Detection and Response (EDR)

Telemetry, Alert and Detection Rule Validation

Detecting and responding to attacks early in the cyber kill chain also relies on rich telemetry from endpoints. To facilitate the detection of threats that target your organization's devices, the Picus Platform integrates with leading EDR solutions to:

  • Validate that the most relevant endpoint is being captured and analyzed
  • Identify missing, redundant and obsolete rulesets and watch lists
  • Measure the time between security events and alert generation
  • Highlight behaviors that are detected but not blocked by prevention controls

Log Validation

Without the right data it's impossible to identify threat activity in your networks. By simulating real-world threats and analyzing the security logs captured by your SIEM, The Picus Platform enables you to:

  • Determine in a timely fashion if logs from relevant sources are being ingested
  • Understand and prioritize new data sources required to address logging gaps
  • Ensure that logs contain the requisite level of data granularity
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