Only about 14% of organizations believe they currently have the talent to secure their AI systems. That's not an outside estimate — it's what the organizations deploying AI systems say about themselves, according to the World Economic Forum's 2025 Global AI Jobs research.
How to Become an AI Security Engineer is the complete field guide to filling that gap: the engineer who thinks like an attacker, understands how large language models and AI agents actually behave, and builds the red-teaming, defenses, and monitoring that keep real AI systems from being manipulated in production.
Across 13 chapters, you'll get:
Every chapter includes a diagnostic self-assessment, a copy-ready template, a visual framework diagram, and real, working code for the technical chapters.
Whether you're a security professional looking at the fastest-growing frontier of your field, or an AI engineer who wants to think like the people trying to break what you build — this is the clearest, most current, most technically grounded guide available anywhere.
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Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
Paperback. Condición: new. Paperback. Only about 14% of organizations believe they currently have the talent to secure their AI systems. That's not an outside estimate - it's what the organizations deploying AI systems say about themselves, according to the World Economic Forum's 2025 Global AI Jobs research.How to Become an AI Security Engineer is the complete field guide to filling that gap: the engineer who thinks like an attacker, understands how large language models and AI agents actually behave, and builds the red-teaming, defenses, and monitoring that keep real AI systems from being manipulated in production.Across 13 chapters, you'll get: A clear breakdown of what this role actually does - and a dedicated chapter untangling six overlapping titles (AI Red Teamer, LLM Security Engineer, ML Security Engineer, AI Trust & Safety Analyst, LLM Security Architect, AI Safety Engineer) so you stop applying under the wrong oneTwo Roads In - a dedicated chapter for both entry paths: security professionals moving into AI, and AI/software engineers moving into securityThe real attack surface: prompt injection (direct and indirect), jailbreaking, data poisoning, model extraction, and agent security - permissions, tool misuse, and containmentHands-on grounding in the field's real, named frameworks and tools: the OWASP Top 10 for LLM Applications, MITRE ATLAS, and open-source red-teaming tools Garak and PyRITA complete 180-day learning roadmap, sequenced month by monthTen hands-on portfolio projects - each with a specific objective, techniques and tools used, documented findings, a proposed defense, and honest lessons learnedReal code references for automated adversarial scanning and defense-in-depth guardrail pipelinesA grounded, honestly-caveated breakdown of compensation, a documented career ladder, and how to know if this specific role is the right fit for youEvery chapter includes a diagnostic self-assessment, a copy-ready template, a visual framework diagram, and real, working code for the technical chapters.Whether you're a security professional looking at the fastest-growing frontier of your field, or an AI engineer who wants to think like the people trying to break what you build - this is the clearest, most current, most technically grounded guide available anywhere. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9798171554224
Cantidad disponible: 1 disponibles
Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de America
PAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Nº de ref. del artículo: L0-9798171554224
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Librería: California Books, Miami, FL, Estados Unidos de America
Condición: New. Print on Demand. Nº de ref. del artículo: I-9798171554224
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Librería: PBShop.store UK, Fairford, GLOS, Reino Unido
PAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Nº de ref. del artículo: L0-9798171554224
Cantidad disponible: Más de 20 disponibles
Librería: CitiRetail, Stevenage, Reino Unido
Paperback. Condición: new. Paperback. Only about 14% of organizations believe they currently have the talent to secure their AI systems. That's not an outside estimate - it's what the organizations deploying AI systems say about themselves, according to the World Economic Forum's 2025 Global AI Jobs research.How to Become an AI Security Engineer is the complete field guide to filling that gap: the engineer who thinks like an attacker, understands how large language models and AI agents actually behave, and builds the red-teaming, defenses, and monitoring that keep real AI systems from being manipulated in production.Across 13 chapters, you'll get: A clear breakdown of what this role actually does - and a dedicated chapter untangling six overlapping titles (AI Red Teamer, LLM Security Engineer, ML Security Engineer, AI Trust & Safety Analyst, LLM Security Architect, AI Safety Engineer) so you stop applying under the wrong oneTwo Roads In - a dedicated chapter for both entry paths: security professionals moving into AI, and AI/software engineers moving into securityThe real attack surface: prompt injection (direct and indirect), jailbreaking, data poisoning, model extraction, and agent security - permissions, tool misuse, and containmentHands-on grounding in the field's real, named frameworks and tools: the OWASP Top 10 for LLM Applications, MITRE ATLAS, and open-source red-teaming tools Garak and PyRITA complete 180-day learning roadmap, sequenced month by monthTen hands-on portfolio projects - each with a specific objective, techniques and tools used, documented findings, a proposed defense, and honest lessons learnedReal code references for automated adversarial scanning and defense-in-depth guardrail pipelinesA grounded, honestly-caveated breakdown of compensation, a documented career ladder, and how to know if this specific role is the right fit for youEvery chapter includes a diagnostic self-assessment, a copy-ready template, a visual framework diagram, and real, working code for the technical chapters.Whether you're a security professional looking at the fastest-growing frontier of your field, or an AI engineer who wants to think like the people trying to break what you build - this is the clearest, most current, most technically grounded guide available anywhere. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Nº de ref. del artículo: 9798171554224
Cantidad disponible: 1 disponibles
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Taschenbuch. Condición: Neu. Neuware - Only about 14% of organizations believe they currently have the talent to secure their AI systems. That's not an outside estimate - it's what the organizations deploying AI systems say about themselves, according to the World Economic Forum's 2025 Global AI Jobs research.How to Become an AI Security Engineer is the complete field guide to filling that gap: the engineer who thinks like an attacker, understands how large language models and AI agents actually behave, and builds the red-teaming, defenses, and monitoring that keep real AI systems from being manipulated in production.Across 13 chapters, you'll get: - A clear breakdown of what this role actually does - and a dedicated chapter untangling six overlapping titles (AI Red Teamer, LLM Security Engineer, ML Security Engineer, AI Trust & Safety Analyst, LLM Security Architect, AI Safety Engineer) so you stop applying under the wrong one- Two Roads In - a dedicated chapter for both entry paths: security professionals moving into AI, and AI/software engineers moving into security- The real attack surface: prompt injection (direct and indirect), jailbreaking, data poisoning, model extraction, and agent security - permissions, tool misuse, and containment- Hands-on grounding in the field's real, named frameworks and tools: the OWASP Top 10 for LLM Applications, MITRE ATLAS, and open-source red-teaming tools Garak and PyRIT- A complete 180-day learning roadmap, sequenced month by month- Ten hands-on portfolio projects - each with a specific objective, techniques and tools used, documented findings, a proposed defense, and honest lessons learned- Real code references for automated adversarial scanning and defense-in-depth guardrail pipelines- A grounded, honestly-caveated breakdown of compensation, a documented career ladder, and how to know if this specific role is the right fit for youEvery chapter includes a diagnostic self-assessment, a copy-ready template, a visual framework diagram, and real, working code for the technical chapters.Whether you're a security professional looking at the fastest-growing frontier of your field, or an AI engineer who wants to think like the people trying to break what you build - this is the clearest, most current, most technically grounded guide available anywhere. Nº de ref. del artículo: 9798171554224
Cantidad disponible: 2 disponibles