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  • Proteja seu app: mitigue os riscos associados a recursos agênticos

    Saiba como avaliar ameaças de injeção indireta de prompts, como exfiltração de dados e ações não intencionais. Conheça as proteções do sistema e as práticas recomendadas de segurança para o uso do App Intents e do framework Foundation Models, incluindo medidas como confirmações do usuário, design seguro de prompts e autenticação.

    Capítulos

    • 0:00 - Introduction
    • 2:06 - Risks
    • 6:32 - Threat modeling
    • 11:56 - Implementing mitigations
    • 12:03 - Foundation Models
    • 17:55 - App Intents

    Recursos

    • Security Overview
      • Vídeo HD
      • Vídeo SD

    Vídeos relacionados

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    • Explore a criação de prompts e a segurança de IA para modelos base no dispositivo

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    • Secure your app: threat modeling and anti-patterns
  • Buscar neste vídeo...
    • 12:50 - Tools

      // Tools
      
      struct OrderTeaTool: Tool {
        let name = "orderTeaTool"
        let description: String = "Orders a particular quantity of a tea from the store."
        // Arguments
        // Implementation
      }
      
      struct PostAndFetchPublicFeedTool: Tool {
        let name = "postAndFetchPublicFeedTool"
        let description: String = "Posts a message to the public feed.”
        // Arguments
        // Implementation
      }
    • 13:13 - Profile

      // Profile
      
      class LooseLeafAgent {
        struct DefaultProfile: LanguageModelSession.DynamicProfile {
          var body: some DynamicProfile {
            Profile {
              Instructions("You are a helpful, tea-loving assistant ... ")
      
              OrderTeaTool()
              PostAndFetchPublicFeedTool()
            }
            .model(SystemLanguageModel())
          }
        }
      }
    • 13:28 - Session

      // Session 
      
      class LooseLeafAgent {
        struct DefaultProfile: LanguageModelSession.DynamicProfile {
          var body: some DynamicProfile {
            Profile {
              Instructions("You are a helpful, tea-loving assistant ... ")
      
              OrderTeaTool()
              PostAndFetchPublicFeedTool()
            }
            .model(SystemLanguageModel())
          }
        }
      
        let session: LanguageModelSession
      
        public init() {
          self.session = LanguageModelSession(profile: DefaultProfile())
        }
      }
    • 14:33 - Confirmation via onToolCall

      // Confirmation via onToolCall
      
      var body: some DynamicProfile {
        Profile {
          Instructions("You are a helpful, tea-loving assistant ... ")
      
          OrderTeaTool() // Financial impact; risky tool.
          // Other Tools
        }
        
        .onToolCall { call in
          guard call.toolName == "orderTeaTool" else {
            return
          }
          guard ConfirmationAction.confirmWithUser() else {
            throw LooseLeafError.userConfirmationDenied
          }
        }
      }
    • 15:56 - Spotlighting via historyTransform

      // Spotlighting via historyTransform
      
      var body: some DynamicProfile {
        Profile {
          Instructions("You are a helpful, tea-loving assistant ... ")
      
          PostAndFetchPublicFeedTool() // Returns untrusted data; requires spotlighting
          // Other Tools
        }
      
        .historyTransform {γentries in
          entries.map { entry in
            guard case .toolOutput(var toolOutput) = entry,
              toolOutput.toolName == "postAndFetchPublicFeedTool"
            else {
              return entry
            }
          }
          toolOutput.segments = toolOutput.segments.map { segment in
            delimit(segment: segment,
                    startDelimiter: "<<UNTRUSTED>>",
                    endDelimiter: "<</UNTRUSTED>>")
          }
          return .toolOutput(toolOutput)
        }
      }
      
      func delimit(segment: Transcript.Segment,
                   startDelimiter: String,
                   endDelimiter: String) -> Transcript.Segment
    • 16:48 - Redaction via historyTransform

      // Redaction via historyTransform
      
      var body: some DynamicProfile {
        Profile {
          Instructions("You are a helpful, tea-loving assistant ... ")
      
          PostAndFetchPublicFeedTool() // Returns untrusted data; requires spotlighting
          // Other Tools
        }
      
        .historyTransform {γentries in
          entries.map { entry in
            guard case .toolOutput(var toolOutput) = entry,
              toolOutput.toolName == "postAndFetchPublicFeedTool"
            else {
              return entry
            }
          }
          toolOutput.segments = toolOutput.segments.map { segment in
            redactPII(segment: segment,
                      placeHolder: "[REDACTED]")
          }
          return .toolOutput(toolOutput)
        }
      }
      
      func redactPII(segment: Transcript.Segment,
                     placeHolder: String) -> Transcript.Segment
    • 23:08 - Intent authentication policy

      // Intent authentication policy
      
      struct DeletePhotoIntent: DeleteIntent {
          var entities: [LooseLeafPhoto]
      
          static var authenticationPolicy: IntentAuthenticationPolicy = .requiresAuthentication
      
          func perform() async throws -> some IntentResult {
              // Implementation
          }
      }
    • 23:27 - Schema authentication policy

      // Schema authentication policy
      
      @AppIntent(schema: .photos.deleteAssets)
      struct DeletePhotoIntent {
          var entities: [LooseLeafPhoto]
      
          // Example: Schema default authentication policy is .requiresAuthentication
      
          func perform() async throws -> some IntentResult {
              // Implementation
          }
      }
    • 0:00 - Introduction
    • Agentic features introduce new security risks. We cover how to identify those risks and introduce techniques and APIs to protect your users.

    • 2:06 - Risks
    • Understand new risks that come with using agentic systems in your app.

    • 6:32 - Threat modeling
    • A threat-modeling exercise for your app can help identify which context sources are untrusted and which actions are potentially risky.

    • 11:56 - Implementing mitigations
    • Learn about concrete tools that you can use to secure your agentic app.

    • 12:03 - Foundation Models
    • If you use the Foundation Models framework, learn how to inject security checkpoints into your agent execution.

    • 17:55 - App Intents
    • Learn about security mitigations available when integrating with Apple Intelligence using App Intents.

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