LLM integrations in SaaS and enterprise applications create new security vulnerabilities at the integration layer where user input, application context, and AI outputs converge. Key risks include prompt injection attacks that manipulate model behavior, unintended data exposure through conversational interfaces, and security
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LLM security risks emerge in the integration layerPrompt injection attacks as a new entry pointData exposure risks in LLM integrationsLLM interactions with business logic can create new risksMapping risks to the OWASP AI testing methodologyWhy traditional testing may miss LLM-specific vulnerabilitiesLLM integrations are a rapidly expanding attack surfaceHow can Sentrium help with AI security?Sort: