Case study: Securing AI application supply chains

Securing AI-powered applications requires more than just safeguarding prompts. Organizations must adopt a holistic approach that includes monitoring the AI supply chain, assessing frameworks, SDKs, and orchestration layers for vulnerabilities, and enforcing strong runtime controls for agents and tools. Leveraging visibility into these components allows security teams to detect, respond to, and remediate risks before they can be exploited.

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