【会议演讲PPT】Gartner+生成式人工智能对网络安全的影响和首席信息安全官的角色-英-21页_2mb

Gartner Webinar Summary

Webinar Focus: The Impact of Generative AI on Security

• Event: Webinar presented by Gartner analysts.
• Panelists: Peter Firstbrook (VP, Distinguished Analyst, Security & Risk Management), Kevin Schmidt (Director Analyst, Secure Infrastructure), Dennis Xu (Sr. Director Analyst, AI Leader), Soyeb Barot (VP Analyst, CTO for Gartner for Technical Professionals).
• Host: Soyeb Barot.
• Content Overview:
  • Introduction: Defined Generative AI (GenAI), focusing on Large Language Models (LLMs).
  • Capabilities & Risks: Discussed text generation, classification, summarization, translation, question answering, code generation capabilities along with associated risks like bias, wrong answers, copyright violations, deepfakes, fraud, spam/phishing.
  • Impact on Security: Identified impacts including multiple consumption options (Shadow AI), data privacy and copyright concerns, skill augmentation, automation, content generation, lack of maturity/vendor rush, privacy/efficacy challenges, data theft/poisoning, lack of best practices, and upcoming regulations.
  • AI Offensive/Defensive Arms Race: Mentioned examples like WormGPT, FraudGPT, PassGPT, PentestGPT, Purple AI, Security Copilot, Charlotte AI, Sec-PaL.
  • Defensive Usage/Planning: Explored planning for GenAI usage and defensive measures.
• Defensive & Secure Usage Guidance:
  • Secure Consumption: Reviewed usage policy, controlled input/output, defined usage/privacy policies, focused on threat vectors, monitored detection drift, prioritized resilience, consumed as a feature, ensured traceability.
  • Building Secure Apps: Included use case approval, securing apps/hosting, protecting prompt/response data, using secured LLMs, network/system monitoring.
• Recommendations for CISO:
  • Control input/output.
  • Define usage and privacy policies.
  • Focus on threat vectors.
  • Monitor for detection drift.
  • Prioritize resilience.
  • Consume as a feature.
  • Ensure traceability.
  • Measure improvements.
  • Inventory use cases.
  • Apply AI TRiSM (AI Trust Risk & Security Management).
  • Manage skills.
• AI TRiSM:
  • Defined as building trust, risk, and security management into AI delivery.
• Resources Mentioned:
  • Upcoming Gartner Security & Risk Management Summit dates and locations.
  • "GenAI Planning Workbook" for developing an AI strategy (Vision, Value-Realization, Risk, Adoption).
  • Invitation to connect via Gartner for IT's social media and newsletter for research and updates.
  • Call to action for becoming a Gartner client.
  • Invitation to download presentation slides, view more webinars.

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