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Take false alarms under control

One of the persistent challenges that SOC analysts face is dealing with false positives detection of malware activity. The abundance of technical CTI data frequently leads to a time-consuming process, as experts must verify the authenticity of various indicators provided by different threat intelligence provides. By sifting out irrelevant indicators and identifying "known good" software, files, and network resources, RST Noise Control streamlines the analysis process.

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Key Benefits

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Large number of rulesets to detect “known good”.

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Real-time response via a unified API. Flexible pricing policy with low entry.

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Heuristic algorithms based on data from sandboxes and honeypots.

110+

Rule Sets

12GB+

individual exceptions covered

MS Updates, CDP, CDN, Public DNS, etc

Well-known IPs, Domains, URLs, and file hashes indicators

API

RST Noise Control can be integrated with various SIEM, SOAR, and TIP solutions

Key Usage

RST Noise Control can be integrated with various SIEM, SOAR, and TIP solutions. In SIEM and SOAR it can be used to stop alerting on indicators that were mistakenly added as an IoC for detection or prevention by one of the security vendors. In TIP a bulk API can be utilised to check indicators right after those are collected from various TI sources to ensure you are not improting noisy ones.

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Decreased false positives in real-time detection

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Alleviating the SOC system's workload by filtering out irrelevant data and false indicators from connected feeds

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Enhanced efficiency, saving analysts valuable time when managing incidents

RST Noise Control

Noise Control Metadata

{
  "value": "1.1.1.1",
  "type": "ip",
  "benign": "true",
  "reason": "Well-known Public DNS Server"
}