Detect. Assess. Respond. Remediate.

Detect reconnaissance activity within data clouds. Identify identities that can cause data exfiltration.  

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Theom's advanced capabilities empower organizations to detect reconnaissance attacks and identify sleeper identities that may threaten data exfiltration. Theom identifies and detects any staging that can precede exfil and thereby uniquely can stop the attack.  Here's how Theom tackles these risks:

Detection of Reconnaissance Attacks:

  • Theom's AI-driven algorithms continuously monitor data access events across the organization's data clouds.
  • By leveraging machine learning and behavioral analytics, Theom establishes baselines for normal user behavior and data access patterns.
  • Any deviations from these baselines, such as unusual data queries or access attempts, trigger alerts in real-time.
  • Theom's intelligent anomaly detection algorithms can identify reconnaissance activities that may indicate potential malicious intent.
  • These activities might include excessive scanning, unauthorized probing of systems, or attempts to gather information about data structures and access permissions.
  • Theom's timely alerts and remediations enable security teams to investigate and respond to reconnaissance attacks promptly, mitigating the risk of data exfiltration.

Identification of Sleeper Identities:

  • Theom's robust user and role fingerprinting techniques build comprehensive profiles of user behaviors and access patterns over time.
  • Through continuous monitoring and analysis, Theom can identify dormant or sleeper identities within the organization's user base.
  • Sleeper identities are user accounts with legitimate access but exhibit unusual or abnormal behavior.
  • Theom's machine learning algorithms can detect subtle changes in behavior, such as increased data access activities, unusual data queries, or access attempts to unauthorized data stores.
  • When sleeper identities are detected, Theom raises alerts to highlight potential risks and enables security teams to investigate and remediate such incidents.
  • By proactively identifying sleeper identities, Theom prevents data exfiltration attempts by malicious insiders or compromised user accounts.

Integration with Threat Intelligence and Mapping to the MITRE Framework:

  • Theom seamlessly integrates with external threat intelligence feeds, allowing organizations to leverage the latest information about known threat actors, attack techniques, and indicators of compromise.
  • By ingesting and analyzing threat intelligence data, Theom enhances its ability to detect reconnaissance attacks and identify potential sleeper identities.
  • Theom correlates the observed activities with the known indicators of compromise, patterns, and tactics used by threat actors documented in threat intelligence feeds.
  • This integration empowers Theom to detect sophisticated attack techniques and recognize malicious behaviors that may be indicators of data exfiltration attempts.
  • Theom maps the detected unusual activities and behaviors to the widely recognized MITRE ATT&CK framework.
  • The MITRE ATT&CK framework provides a comprehensive matrix of adversary techniques, tactics, and procedures (TTPs).
  • By mapping the observed activities to the MITRE framework, Theom enables security teams to understand the specific attack techniques employed and take appropriate countermeasures.
  • The mapping to the MITRE framework helps organizations gain insights into the attacker's motives, methods, and potential impact, enhancing their ability to respond effectively and prevent data exfiltration.

By integrating threat intelligence and mapping activities into the MITRE framework, Theom strengthens its ability to detect and respond to reconnaissance attacks and sleeper identities. This comprehensive approach equips organizations with valuable insights, enabling them to proactively defend against data exfiltration attempts and ensure the security of their sensitive data.