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When: Jan 15, 2026 from 5:30 PM to 8:00 PM

Associated with Triangle (Raleigh-Durham) Chapter

Abstract:
Enterprises are rapidly adopting AI across browsers, code assistants, and internal apps—but with that adoption comes new risks: shadow AI, data leakage, prompt injection, unsafe responses, and governance gaps. This session shares a practitioner’s view on how to put actionable guardrails in place across three core areas: employee use of AI tools, developers using AI code assistants, and homegrown AI applications. We’ll walk through real-world patterns for visibility and control (e.g., detection of unsanctioned AI tools, policy-based redaction and enforcement, content moderation), and discuss emerging challenges with agentic AI and MCP frameworks—plus how dynamic risk scoring and gateway patterns can help mitigate them in cloud environments.

Key Takeaways

  • A simple framework to assess and prioritize AI security risks across employees, developers, and internal apps.
  • Pragmatic controls you can deploy now: observability for shadow AI, automatic data redaction, policy enforcement, and content safeguards.
  • How to approach agentic AI and MCP risk: what to monitor, how to score risk, and where to enforce controls (endpoint, proxy, or app layer).
  • Implementation patterns that balance developer velocity and user experience with enterprise-grade governance.

Speaker/Bio:
Jacob Graves is Head of Solutions, Prompt at SentinelOne. They partner with customers and field teams to translate real-world requirements into practical solutions and outcomes across the Prompt go‑to‑market organization. Their focus is helping enterprises operationalize modern security controls in fast‑moving AI and cloud environments

Events in Raleigh, NC
Application Security
Cloud Security
Computer & Information Network Security
Cybersecurity
Information Security

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