~/talk

Eat Your Vegetables Data Security for Data Scientists

Talkat PyData DC 2016 · 2016-10-07..10-09· [security, data-visualization]
links:none on file
slides:none on file

Claim: basic hygiene plus a few concrete tools block most attacks while full cryptography is hard. Evidence and examples: Lloyds estimates ~$400B annual loss, Heartbleed and Code Spaces failures show supply‑side risk, Nissan Leaf leak shows missing access control, TLS via Let's Encrypt is cheap, use short‑lived credentials and account separation to limit blast radius. Practical builds: sign artifacts for integrity, avoid unencrypted logs, use client‑side encryption or provider Key Management Service, prefer the high‑level cryptography library over raw pycrypto/pyOpenSSL.

AI-written summary · about

  1. 0:00Data security introduction
  2. 3:16Why security matters
  3. 8:33Easy security wins
  4. 16:25Account separation credentials
  5. 21:00Data integrity signatures encryption
  6. 27:38Safe encrypted data handling
  7. 30:27Python security libraries
  8. 33:18Cloud security features limits
  9. 36:07Summary key takeaways
  10. 37:32Q&A cryptography standards
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