What Happened
Join this live webinar as we examine the gap between how organizations think their third-party risk programs are performing and what’s actually happening in practice. The post Webinar Today: Third-Party Risk in Practice – Where Programs Break Down and How to Respond appeared first on SecurityWeek .
Why It Matters
The article promotes a webinar on third-party risk in practice and says it will examine the gap between how organizations believe their third-party risk programs are performing and what is actually happening. Based on the topic and the broader TPRM guidance in the search results, the core issue is vendor and supplier oversight across assessment, due diligence, monitoring, and incident response. CyberSE.AI analysis: this is most relevant to AI supply chain risk because weaknesses in third-party controls can expose AI systems, data flows, and dependencies to security and compliance failures.
CyberSE Analysis
This signal maps to AI supply chain. Organizations using AI agents, LLM APIs, SaaS integrations, or sensitive data workflows should review whether this class of issue could create unauthorized tool execution, data leakage, weak approval gates, or unmanaged supply-chain exposure.
Recommended Actions
- Restrict AI agent tool permissions and production write paths.
- Review sensitive data access across prompts, logs, embeddings, memory, and SaaS integrations.
- Add human approval workflows for high-impact or state-changing actions.
- Run prompt injection and indirect prompt injection tests against affected workflows.
- Document the owner, control gap, and remediation deadline for this risk class.