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Data-Driven Cyber Indicators of Malicious Insider Threat

Talkat RSA Conference 2024 · 2024-05-06..05-09· [security, databases]
links:none on file
slides:none on file

Study uses 100 real employees tasked to find, collect and remove sensitive internal documents; analysis finds 24 exfiltration techniques (nine used mainly by malicious actors: phone photos, USBs, burner/personal email, unsanctioned cloud, SMB/FTP), 76 evasion techniques (steganography, encrypted ZIPs, automated scripts, file corruption, clearing history) and an n‑gram sequence search that yields 13 useful sequences out of 5 million — sequences help a little but combinations and early search/collection signals matter more, and odd work hours are not a reliable PRI.

AI-written summary · about

  1. 0:00Insider threat research at MITRE
  2. 1:51Study background and risk indicators
  3. 4:00Evasion and exfiltration techniques
  4. 12:182021 behavioral experiment methodology
  5. 23:23Key findings on evasion and detection
  6. 24:06Remote versus on-premises risk indicators
  7. 26:31Behavioral sequences for risk detection
  8. 30:05Why external frameworks fail
  9. 31:08New MITRE Insider Threat Framework
  10. 33:34Insider risk program benefits
  11. 46:20Q&A
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