AI gateways in the enterprise: securing and governing GenAI and LLM API integration in the enterprise
Generative AI and large language models (LLMs) have the power to transform your business--but is your infrastructure ready? This report explains why traditional networking solutions fall short and how AI gateways provide a secure, scalable foundation for AI adoption. Authors Christian Posta and Pete...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Sebastopol, CA
O'Reilly Media, Inc.
2025
|
| Edition: | [First edition]. |
| Subjects: | |
| Links: | https://learning.oreilly.com/library/view/-/9798341621381/?ar |
| Summary: | Generative AI and large language models (LLMs) have the power to transform your business--but is your infrastructure ready? This report explains why traditional networking solutions fall short and how AI gateways provide a secure, scalable foundation for AI adoption. Authors Christian Posta and Peter Jausovec introduce AI gateways as a critical tool for protecting API keys, enforcing data governance, and controlling costs--ensuring that enterprises can deploy AI safely and responsibly without security risks or runaway expenses. Designed for IT leaders, architects, and platform engineers, this report offers practical strategies for securely exposing LLMs, optimizing API consumption, and managing enterprise-wide AI initiatives. Whether you're planning your first AI implementation or refining an existing strategy, this guide provides essential insights to help you future-proof your AI infrastructure. Discover why AI gateways are the key to secure, safe GenAI integration Learn how to safely consume LLMs without compromising data security Control costs with semantic caching, rate limiting, and governance frameworks Evaluate when to use pretrained models or invest in custom AI solutions Implement an AI infrastructure that integrates seamlessly with enterprise systems. |
| Physical Description: | 1 Online-Ressource (48 Seiten) Illustrationen |
Staff View
MARC
| LEADER | 00000nam a22000002c 4500 | ||
|---|---|---|---|
| 001 | ZDB-30-ORH-113665458 | ||
| 003 | DE-627-1 | ||
| 005 | 20250402110953.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 250402s2025 xx |||||o 00| ||eng c | ||
| 035 | |a (DE-627-1)113665458 | ||
| 035 | |a (DE-599)KEP113665458 | ||
| 035 | |a (ORHE)9798341621381 | ||
| 035 | |a (DE-627-1)113665458 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rda | ||
| 041 | |a eng | ||
| 082 | 0 | |a 006.3 |2 23/eng/20250303 | |
| 100 | 1 | |a Posta, Christian E. |e VerfasserIn |4 aut | |
| 245 | 1 | 0 | |a AI gateways in the enterprise |b securing and governing GenAI and LLM API integration in the enterprise |c Christian Posta and Peter Jausovec |
| 250 | |a [First edition]. | ||
| 264 | 1 | |a Sebastopol, CA |b O'Reilly Media, Inc. |c 2025 | |
| 300 | |a 1 Online-Ressource (48 Seiten) |b Illustrationen | ||
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a Computermedien |b c |2 rdamedia | ||
| 338 | |a Online-Ressource |b cr |2 rdacarrier | ||
| 520 | |a Generative AI and large language models (LLMs) have the power to transform your business--but is your infrastructure ready? This report explains why traditional networking solutions fall short and how AI gateways provide a secure, scalable foundation for AI adoption. Authors Christian Posta and Peter Jausovec introduce AI gateways as a critical tool for protecting API keys, enforcing data governance, and controlling costs--ensuring that enterprises can deploy AI safely and responsibly without security risks or runaway expenses. Designed for IT leaders, architects, and platform engineers, this report offers practical strategies for securely exposing LLMs, optimizing API consumption, and managing enterprise-wide AI initiatives. Whether you're planning your first AI implementation or refining an existing strategy, this guide provides essential insights to help you future-proof your AI infrastructure. Discover why AI gateways are the key to secure, safe GenAI integration Learn how to safely consume LLMs without compromising data security Control costs with semantic caching, rate limiting, and governance frameworks Evaluate when to use pretrained models or invest in custom AI solutions Implement an AI infrastructure that integrates seamlessly with enterprise systems. | ||
| 650 | 0 | |a Artificial intelligence |x Data processing | |
| 650 | 0 | |a Information storage and retrieval systems | |
| 650 | 0 | |a Storage area networks (Computer networks) | |
| 650 | 0 | |a Machine learning | |
| 650 | 4 | |a Intelligence artificielle ; Informatique | |
| 650 | 4 | |a Systèmes d'information | |
| 650 | 4 | |a Réseaux de stockage (Informatique) | |
| 650 | 4 | |a Apprentissage automatique | |
| 700 | 1 | |a Jausovec, Peter |e VerfasserIn |4 aut | |
| 966 | 4 | 0 | |l DE-91 |p ZDB-30-ORH |q TUM_PDA_ORH |u https://learning.oreilly.com/library/view/-/9798341621381/?ar |m X:ORHE |x Aggregator |z lizenzpflichtig |3 Volltext |
| 912 | |a ZDB-30-ORH | ||
| 951 | |a BO | ||
| 912 | |a ZDB-30-ORH | ||
| 049 | |a DE-91 | ||
Record in the Search Index
| DE-BY-TUM_katkey | ZDB-30-ORH-113665458 |
|---|---|
| _version_ | 1831287136238698496 |
| adam_text | |
| any_adam_object | |
| author | Posta, Christian E. Jausovec, Peter |
| author_facet | Posta, Christian E. Jausovec, Peter |
| author_role | aut aut |
| author_sort | Posta, Christian E. |
| author_variant | c e p ce cep p j pj |
| building | Verbundindex |
| bvnumber | localTUM |
| collection | ZDB-30-ORH |
| ctrlnum | (DE-627-1)113665458 (DE-599)KEP113665458 (ORHE)9798341621381 |
| dewey-full | 006.3 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
| dewey-raw | 006.3 |
| dewey-search | 006.3 |
| dewey-sort | 16.3 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| edition | [First edition]. |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>02826nam a22004212c 4500</leader><controlfield tag="001">ZDB-30-ORH-113665458</controlfield><controlfield tag="003">DE-627-1</controlfield><controlfield tag="005">20250402110953.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">250402s2025 xx |||||o 00| ||eng c</controlfield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)113665458</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)KEP113665458</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ORHE)9798341621381</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)113665458</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">006.3</subfield><subfield code="2">23/eng/20250303</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Posta, Christian E.</subfield><subfield code="e">VerfasserIn</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">AI gateways in the enterprise</subfield><subfield code="b">securing and governing GenAI and LLM API integration in the enterprise</subfield><subfield code="c">Christian Posta and Peter Jausovec</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">[First edition].</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Sebastopol, CA</subfield><subfield code="b">O'Reilly Media, Inc.</subfield><subfield code="c">2025</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (48 Seiten)</subfield><subfield code="b">Illustrationen</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Generative AI and large language models (LLMs) have the power to transform your business--but is your infrastructure ready? This report explains why traditional networking solutions fall short and how AI gateways provide a secure, scalable foundation for AI adoption. Authors Christian Posta and Peter Jausovec introduce AI gateways as a critical tool for protecting API keys, enforcing data governance, and controlling costs--ensuring that enterprises can deploy AI safely and responsibly without security risks or runaway expenses. Designed for IT leaders, architects, and platform engineers, this report offers practical strategies for securely exposing LLMs, optimizing API consumption, and managing enterprise-wide AI initiatives. Whether you're planning your first AI implementation or refining an existing strategy, this guide provides essential insights to help you future-proof your AI infrastructure. Discover why AI gateways are the key to secure, safe GenAI integration Learn how to safely consume LLMs without compromising data security Control costs with semantic caching, rate limiting, and governance frameworks Evaluate when to use pretrained models or invest in custom AI solutions Implement an AI infrastructure that integrates seamlessly with enterprise systems.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Artificial intelligence</subfield><subfield code="x">Data processing</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Information storage and retrieval systems</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Storage area networks (Computer networks)</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Machine learning</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Intelligence artificielle ; Informatique</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Systèmes d'information</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Réseaux de stockage (Informatique)</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Apprentissage automatique</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Jausovec, Peter</subfield><subfield code="e">VerfasserIn</subfield><subfield code="4">aut</subfield></datafield><datafield tag="966" ind1="4" ind2="0"><subfield code="l">DE-91</subfield><subfield code="p">ZDB-30-ORH</subfield><subfield code="q">TUM_PDA_ORH</subfield><subfield code="u">https://learning.oreilly.com/library/view/-/9798341621381/?ar</subfield><subfield code="m">X:ORHE</subfield><subfield code="x">Aggregator</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">BO</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-91</subfield></datafield></record></collection> |
| id | ZDB-30-ORH-113665458 |
| illustrated | Not Illustrated |
| indexdate | 2025-05-05T13:25:07Z |
| institution | BVB |
| language | English |
| open_access_boolean | |
| owner | DE-91 DE-BY-TUM |
| owner_facet | DE-91 DE-BY-TUM |
| physical | 1 Online-Ressource (48 Seiten) Illustrationen |
| psigel | ZDB-30-ORH TUM_PDA_ORH ZDB-30-ORH |
| publishDate | 2025 |
| publishDateSearch | 2025 |
| publishDateSort | 2025 |
| publisher | O'Reilly Media, Inc. |
| record_format | marc |
| spelling | Posta, Christian E. VerfasserIn aut AI gateways in the enterprise securing and governing GenAI and LLM API integration in the enterprise Christian Posta and Peter Jausovec [First edition]. Sebastopol, CA O'Reilly Media, Inc. 2025 1 Online-Ressource (48 Seiten) Illustrationen Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Generative AI and large language models (LLMs) have the power to transform your business--but is your infrastructure ready? This report explains why traditional networking solutions fall short and how AI gateways provide a secure, scalable foundation for AI adoption. Authors Christian Posta and Peter Jausovec introduce AI gateways as a critical tool for protecting API keys, enforcing data governance, and controlling costs--ensuring that enterprises can deploy AI safely and responsibly without security risks or runaway expenses. Designed for IT leaders, architects, and platform engineers, this report offers practical strategies for securely exposing LLMs, optimizing API consumption, and managing enterprise-wide AI initiatives. Whether you're planning your first AI implementation or refining an existing strategy, this guide provides essential insights to help you future-proof your AI infrastructure. Discover why AI gateways are the key to secure, safe GenAI integration Learn how to safely consume LLMs without compromising data security Control costs with semantic caching, rate limiting, and governance frameworks Evaluate when to use pretrained models or invest in custom AI solutions Implement an AI infrastructure that integrates seamlessly with enterprise systems. Artificial intelligence Data processing Information storage and retrieval systems Storage area networks (Computer networks) Machine learning Intelligence artificielle ; Informatique Systèmes d'information Réseaux de stockage (Informatique) Apprentissage automatique Jausovec, Peter VerfasserIn aut |
| spellingShingle | Posta, Christian E. Jausovec, Peter AI gateways in the enterprise securing and governing GenAI and LLM API integration in the enterprise Artificial intelligence Data processing Information storage and retrieval systems Storage area networks (Computer networks) Machine learning Intelligence artificielle ; Informatique Systèmes d'information Réseaux de stockage (Informatique) Apprentissage automatique |
| title | AI gateways in the enterprise securing and governing GenAI and LLM API integration in the enterprise |
| title_auth | AI gateways in the enterprise securing and governing GenAI and LLM API integration in the enterprise |
| title_exact_search | AI gateways in the enterprise securing and governing GenAI and LLM API integration in the enterprise |
| title_full | AI gateways in the enterprise securing and governing GenAI and LLM API integration in the enterprise Christian Posta and Peter Jausovec |
| title_fullStr | AI gateways in the enterprise securing and governing GenAI and LLM API integration in the enterprise Christian Posta and Peter Jausovec |
| title_full_unstemmed | AI gateways in the enterprise securing and governing GenAI and LLM API integration in the enterprise Christian Posta and Peter Jausovec |
| title_short | AI gateways in the enterprise |
| title_sort | ai gateways in the enterprise securing and governing genai and llm api integration in the enterprise |
| title_sub | securing and governing GenAI and LLM API integration in the enterprise |
| topic | Artificial intelligence Data processing Information storage and retrieval systems Storage area networks (Computer networks) Machine learning Intelligence artificielle ; Informatique Systèmes d'information Réseaux de stockage (Informatique) Apprentissage automatique |
| topic_facet | Artificial intelligence Data processing Information storage and retrieval systems Storage area networks (Computer networks) Machine learning Intelligence artificielle ; Informatique Systèmes d'information Réseaux de stockage (Informatique) Apprentissage automatique |
| work_keys_str_mv | AT postachristiane aigatewaysintheenterprisesecuringandgoverninggenaiandllmapiintegrationintheenterprise AT jausovecpeter aigatewaysintheenterprisesecuringandgoverninggenaiandllmapiintegrationintheenterprise |