AI Is Coming For Our Secrets
summary
Panelists list concrete risks and rules: generative AI enables automated, personalized phishing and scalable ransomware, and Splunk finds adoption outpacing policy; engineering teams report Doppler bans generative AI in application logic while allowing AI for tests and scripting; marketing feeds anonymized reviews into GPT for theme extraction and sales use chat gbt for draft copy and transcriptions; regulators cite the EU AI Act and teams insist on explicit data‑in/data‑out rules and logging reviews.
AI-written summary · about
chapters (10)
- 0:00Introduction to AI and Secrets Management
- 0:20The Risks of Generative AI in Security
- 1:07Phishing and Ransomware: AI's Dark Side
- 2:28AI Jailbreaking and Policy Gaps
- 3:18Balancing AI Use and Security
- 3:42AI Regulation and Developer Responsibility
- 4:43Marketing Team's Use of AI
- 9:15Sales Team's Use of AI
- 11:24Engineering Team's Use of AI
- 18:02Conclusion and Final Thoughts
related talks
28mRound Table | Generative AI: Threat or Ally?
46mGenerative AI: Cyber resiliency and risk
27mSafeguarding Generative AI Applications: Navigating Security Challenges and Best Pract...
52mAI Is Just Software, What Could Possibly Go Wrong?
45mCombating Generative AI's Privacy Abuses
45mOverview of Risks, Vulnerabilities and Paths to Safer Use of Generative AI
53mHow AI is impacting cybersecurity. Does it?
39mThe Future of Cybersecurity in an AI-driven Era
