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apidays Paris 2024 - Run, Secure, and Govern yo...

apidays
December 22, 2024

apidays Paris 2024 - Run, Secure, and Govern your AI Traffic with an AI Gateway for Multi-LLM, Jerome Guillaume, Kong

Run, Secure, and Govern your AI Traffic with an AI Gateway for Multi-LLM
Jerome Guillaume, Solutions Engineer at Kong

apidays Paris 2024 - The Future API Stack for Mass Innovation
December 3 - 5, 2024

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December 22, 2024
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  1. 1 Run, Secure, and Govern your AI Traffic with an

    AI Gateway J erome GUILLAUME - Solutions Engineer
  2. 2 93% of use cases use 3 or more AI

    model providers Source: Microsoft Ignite (2024)
  3. AI Apps & Clients QUALITY & ACCURACY DATA SECURITY &

    PRIVACY DATA & INFRA READINESS ENCRYPTION POLICIES ACCESS CONTROL DATA ANONYMIZATION (PII) VIRTUAL CREDENTIAL ISSUANCE BREACH DETECTION BIAS DETECTION FACT CHECKING MODEL TUNING USER VERIFICATION CONTENT MODERATION LANGUAGE CLARITY PROMPT VERSIONING MODEL SCALING & VERSIONING MODEL LOAD BALANCING SEMANTIC ACCELERATION LLM OBSERVABILITY MULTI-LLM INTEGRATION SEMANTIC GUARDRAILING TOKEN QUOTA LIMITING LLM CREDENTIAL ROTATION SEMANTIC ROUTING DISASTER RECOVERY & FAILOVERS LLM ORCHESTRATION DATA PIPELINE MULTI-CLOUD INTEGRATION LLM Models
  4. 4

  5. 7 { } Build once to use them all AI

    Credentials AI Traffic Control AI Observability AI Load Balancer Security Observability Load Balancing HA & Failovers And more
  6. { } AI Credentials AI Traffic Control AI Observability AI

    Load Balancer Security Observability Load Balancing HA & Failovers And more Build once to use them all Semantic Guards Semantic Cache Semantic Routing Data security Performance Acceleration Prompt Versioning Higher response accuracy And more PII Anonymizer Semantic Guards Semantic Cache Semantic Routing Data security Performance Acceleration Prompt Versioning Higher response accuracy And more PII Anonymizer Templates
  7. 9 { } AI Credentials AI Traffic Control AI Observability

    AI Load Balancer Security Observability Load Balancing HA & Failovers And more Build once to use them all Semantic Guards Semantic Cache Semantic Routing Data security Performance Acceleration Prompt Versioning Higher response accuracy And more PII Anonymizer Templates LLM Injection LLM Orchestration AI Augmentation LLM Injection LLM Orchestration AI Augmentation
  8. 16

  9. 17

  10. 18

  11. “How long does it take to cook a steak ?”

    “ How l ong doe s i t t a ke t o c ook a f i l e t ? ” LLM s / M ode l s Hi gh s i mi l a r i t y
  12. “How long does it take to cook a steak ?”

    “ How l ong doe s i t t a ke t o c ook a f i l e t ? ” LLM s / M ode l s “ How muc h doe s i t c os t t o f l y t o Ne w Yor k? ”
  13. “How long does it take to cook a steak ?”

    “ How l ong doe s i t t a ke t o c ook a f i l e t ? ” LLM s / M ode l s “ How muc h doe s i t c os t t o f l y t o Ne w Yor k? ” Low s i mi l a r i t y
  14. Embedding Models Ve c t or St or a ge

    Ca c he St or a ge Re duc i ng c os t Re duc i ng l a t e nc y Be t t e r AI e xpe r i e nc e s
  15. “Tell me about the democratic party” “ Te l l

    me a bout t he r e publ i c a n pa r t y”
  16. “Tell me about the democratic party” “ Te l l

    me a bout t he r e publ i c a n pa r t y” “ W ha t i s your pol i t i c a l s t a nc e ? ”
  17. “Tell me about the democratic party” “ Te l l

    me a bout t he r e publ i c a n pa r t y” “ W ha t i s your pol i t i c a l s t a nc e ? ” “ Any pol i t i c a l que s t i on or t opi c ” DENY RULE
  18. “Tell me about the democratic party” “ Te l l

    me a bout t he r e publ i c a n pa r t y” “ W ha t i s your pol i t i c a l s t a nc e ? ” “ Any pol i t i c a l que s t i on or t opi c ” DENY RULE “ How l ong doe s i t t a ke t o c ook s t e a k? ”
  19. “Tell me about the democratic party” “ Te l l

    me a bout t he r e publ i c a n pa r t y” “ W ha t i s your pol i t i c a l s t a nc e ? ” “ Any pol i t i c a l que s t i on or t opi c ” DENY RULE “ How l ong doe s i t t a ke t o c ook s t e a k? ” Cont e nt mode r a t i on Br a nd s a f e t y Se c ur e AI e xpe r i e nc e s