1. Interactive Incident Simulation: Exfiltration Intercepted
Forensic recreation showing how the employee attempted to upload Customer_PII_Accounts.xlsx to LinkedIn, and how XpertLync neutralized it in client memory before network buffers formed.
2. Chronology of the Neutralized Incident
Click any milestone below to inspect runtime mechanics.
https://www.linkedin.com using standard corporate single sign-on credentials. Because LinkedIn is approved for talent acquisition and business networking, network firewalls and SWG proxies permitted the encrypted TLS connection unconditionally.
3. The Architectural Blindspot: Legacy Controls vs. XpertLync DLP
Why perimeter appliances failed and why client-side in-memory screening succeeded.
- β TLS Encryption Blindspot: Connection to LinkedIn is encrypted with TLS. NGFWs cannot inspect single-page app DOM drops.
- β Domain Allowlisting: LinkedIn domain is classified as "Business Networking" and bypassed from blocking.
- β Post-Facto Discovery: Logs only reveal generic HTTPS traffic, completely missing the 88.4 MB customer payload.
- β Pre-Upload Client Hook: Hooks file picker and drag dropzones before HTTP transmission buffers are generated.
- β In-Memory PII Screening: Analyzes binary structure and entropy in under 3 milliseconds with zero network latency.
- β Surgical Action-Level Control: Permits regular LinkedIn browsing, networking, and public text posts while strictly blocking unauthorized corporate file uploads and PII pastes.
π‘ Key Architectural Takeaways for Enterprise CISOs
Permitting an external website does not mean data uploads to it are safe. In-browser screening is mandatory to verify what leaves the endpoint.
Screening files in workstation browser memory eliminates proxy bottlenecking, TLS decryption overhead, and employee slowdowns.