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Minimize False Positives in Your OSINT Investigations
OSINT false positives occur when an alert is generated from a keyword or phrase being identified, but the context of the keyword is not the context intended. In our recent document, you’ll learn:
- The financial cost of false positives
- Techniques to minimize and reduce the impact of false positives on your team.
- How Natural Language Processing and Machine Learning are evolving to create a human-like, contextual understanding of language to reduce false positives.
Papers & Reports
Distinguish between public and private conversations and how to manually and automatically query the Surface, Deep and Dark Web.
Distinguish between the Surface, Deep, and Dark Web and learn the importance of Internet investigations in assessing public and private risk.
Learn techniques to minimize and reduce the impact of false positives and how Natural Language Processing and Machine Learning are evolving to create a human-like, contextual understanding of language to combat alert fatigue.
Understand how we used Media Sonar to support human intelligence and risk management planning related to third-party & supply chain risks, insider threats while working from home, emerging cybersecurity threats, and physical security for facilities.
Understand the risks that Dark Web marketplaces create, and how they endanger public safety and corporate security.
Case Studies
A private company operating hospitals, care centers, and medical practices across multiple North American cities was having a hard time combatting a high number of cybersecurity threats. Their information security team had a strong defense but were blind to threats that happened outside their system.
Understand how their team used Media Sonar and open-source data to close the external threat intelligence gap.
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