Artificial Intelligence in Cybersecurity Use AI to Protect Your Organization
Product details
Biographical note
Lisa Ventura is an award-winning cyber security specialist, published author, journalist and keynote speaker. She is the Chief Executive and Founder of the AI and Security Association, a membership body and trade association that has been set up as the global voice of AI and security and to promote the safe, secure, responsible and ethical use of AI. In addition, she is the Founder of Cyber Security Unity, Neuro Unity and AI Unity that all sits under the banner of Unity Group Solutions Limited. She is based in Worcester, UK.Artificial Intelligence in Cybersecurity Use AI to Protect Your Organization
"<b>Lisa Ventura</b> has written the book our industry has been waiting for. As someone who has spent years navigating the ever-shifting cybersecurity landscape, I found <b><i>Artificial Intelligence in Cybersecurity </i></b>to be an absolute gamechanger. <b>Ventura</b> has a rare gift for making complex AI concepts genuinely accessible, while never losing sight of the strategic and operational realities security leaders face every day. From threat intelligence and anomaly detection through to AI-powered SOCs and measuring ROI, this book covers it all with clarity, depth and real-world practicality. If you're serious about staying ahead of AI-driven threats and building an organization that's truly cyber resilient, this is the book you need on your desk."
Moira Robertson, consultant, Audit-Works UK
"Whether you are a novice or seasoned security engineer, <b><i>Artificial Intelligence in Cybersecurity</i> </b>by <b>Lisa Ventura </b>lays out how to use AI to protect your organization in simple terms. From the history of AI, through to its different applications and attack vectors, it's a must read!"
Colin Darbyshire, customer success director, Purechannels
"This book provides great insights as to how cybersecurity and IT professionals can utilize AI to help detect and prevent threats. <b>Lisa Ventura </b>provides ways organizations can gain a return on investment for utilizing AI with cybersecurity. A great read for cybersecurity professionals."
Andrew Shaw, QA test analyst, LOXAM
"AI has transformed the threat landscape faster than most security teams can adapt. <b><i>Artificial Intelligence in Cybersecurity</i></b> provides the clarity the industry needs, combining practical guidance on securing AI with a clear-eyed view of how adversaries are using it to their advantage. This is essential reading for cybersecurity professionals confronting the realities of modern, AI-driven risk."
Lianne Potter, cyber anthropologist and podcast host, Compromising Positions
"<b>Lisa Ventura</b> has written a very valuable and educational book on the evolution of AI/ML. This is not just a must read for the professionals in the AI/ML and cybersecurity industries, but for anyone that may be a consumer, knowingly or not, of the impacts on their privacy, security and autonomy."
Dianna Morikawa, director of sales enablement and sales operations, SmarterD
- Section - ONE: The Rise of AI
- Chapter - 01: Introduction to artificial intelligence in cyber security;
- Chapter - 02: Fundamentals of machine learning and deep learning for cyber security
- Chapter - 03: AI applications in intrusion detection systems
- Chapter - 04: Behavioural analysis and anomaly detection techniques
- Chapter - 05: Natural language processing for threat intelligence
- Chapter - 06: AI-Driven malware detection and classification
- Chapter - 07: Predictive analytics and risk assessment in cyber security
- Chapter - 08: Autonomous response systems and adaptive security
- Chapter - 09: AI-powered security operations centres (SOCs)
- Chapter - 10: Ethical and regulatory considerations in AI cyber security applications
- Chapter - 11: Future trends and emerging technologies in AI cyber security
- Section - TWO: Leveraging AI in cyber security
- Chapter - 01: Understanding the cyber threat landscape - challenges and risks
- Chapter - 02: Leveraging artificial intelligence for proactive threat detection
- Chapter - 03: Implementing AI-driven network security solutions
- Chapter - 04: Enhancing endpoint security with machine learning algorithms
- Chapter - 05: Harnessing AI for identity and access management
- Chapter - 06: Utilizing predictive analytics for vulnerability management
- Chapter - 07: Building resilient security infrastructures with AI
- Chapter - 08: Integrating AI-powered security orchestration and automation
- Chapter - 09: Securing cloud environments with AI-based solutions
- Chapter - 10: Continuous monitoring and response using AI-driven technologies
- Chapter - 11: Training and upskilling the workforce for AI-enabled cyber security
- Chapter - 12: Evaluating ROI and effectiveness of AI-based defence strategies
"<b>Lisa Ventura</b> has written the book our industry has been waiting for. As someone who has spent years navigating the ever-shifting cybersecurity landscape, I found <b><i>Artificial Intelligence in Cybersecurity </i></b>to be an absolute gamechanger. <b>Ventura</b> has a rare gift for making complex AI concepts genuinely accessible, while never losing sight of the strategic and operational realities security leaders face every day. From threat intelligence and anomaly detection through to AI-powered SOCs and measuring ROI, this book covers it all with clarity, depth and real-world practicality. If you're serious about staying ahead of AI-driven threats and building an organization that's truly cyber resilient, this is the book you need on your desk."
Moira Robertson, consultant, Audit-Works UK
"Whether you are a novice or seasoned security engineer, <b><i>Artificial Intelligence in Cybersecurity</i> </b>by <b>Lisa Ventura </b>lays out how to use AI to protect your organization in simple terms. From the history of AI, through to its different applications and attack vectors, it's a must read!"
Colin Darbyshire, customer success director, Purechannels
"This book provides great insights as to how cybersecurity and IT professionals can utilize AI to help detect and prevent threats. <b>Lisa Ventura </b>provides ways organizations can gain a return on investment for utilizing AI with cybersecurity. A great read for cybersecurity professionals."
Andrew Shaw, QA test analyst, LOXAM
"AI has transformed the threat landscape faster than most security teams can adapt. <b><i>Artificial Intelligence in Cybersecurity</i></b> provides the clarity the industry needs, combining practical guidance on securing AI with a clear-eyed view of how adversaries are using it to their advantage. This is essential reading for cybersecurity professionals confronting the realities of modern, AI-driven risk."
Lianne Potter, cyber anthropologist and podcast host, Compromising Positions
"<b>Lisa Ventura</b> has written a very valuable and educational book on the evolution of AI/ML. This is not just a must read for the professionals in the AI/ML and cybersecurity industries, but for anyone that may be a consumer, knowingly or not, of the impacts on their privacy, security and autonomy."
Dianna Morikawa, director of sales enablement and sales operations, SmarterD
- Section - ONE: The Rise of AI
- Chapter - 01: Introduction to artificial intelligence in cyber security;
- Chapter - 02: Fundamentals of machine learning and deep learning for cyber security
- Chapter - 03: AI applications in intrusion detection systems
- Chapter - 04: Behavioural analysis and anomaly detection techniques
- Chapter - 05: Natural language processing for threat intelligence
- Chapter - 06: AI-Driven malware detection and classification
- Chapter - 07: Predictive analytics and risk assessment in cyber security
- Chapter - 08: Autonomous response systems and adaptive security
- Chapter - 09: AI-powered security operations centres (SOCs)
- Chapter - 10: Ethical and regulatory considerations in AI cyber security applications
- Chapter - 11: Future trends and emerging technologies in AI cyber security
- Section - TWO: Leveraging AI in cyber security
- Chapter - 01: Understanding the cyber threat landscape - challenges and risks
- Chapter - 02: Leveraging artificial intelligence for proactive threat detection
- Chapter - 03: Implementing AI-driven network security solutions
- Chapter - 04: Enhancing endpoint security with machine learning algorithms
- Chapter - 05: Harnessing AI for identity and access management
- Chapter - 06: Utilizing predictive analytics for vulnerability management
- Chapter - 07: Building resilient security infrastructures with AI
- Chapter - 08: Integrating AI-powered security orchestration and automation
- Chapter - 09: Securing cloud environments with AI-based solutions
- Chapter - 10: Continuous monitoring and response using AI-driven technologies
- Chapter - 11: Training and upskilling the workforce for AI-enabled cyber security
- Chapter - 12: Evaluating ROI and effectiveness of AI-based defence strategies