Network security Books

Book SynopsisChapter 1 Introduction to Identity and Access Management.- Chapter 2 Fundamentals of Analytics in IAM.- Chapter 3 Data Preparation.- Chapter 4 IAM KPIs and KRIs.- Chapter 5 Risk Based Access Controls.- Chapter 6 SIEM and Real-time identity threat detection.- Chapter 7 Machine Learning Techniques in IAM Analytics.- Chapter 8 Regulatory Compliance and IAM Analytics.- Chapter 9 Automating Access Controls.- Chapter 10 Zero Trust from Identity perspective.- Chapter 11 Analytics Cloud Access Management.- Chapter 12 GenAI for IAM and other future trends.

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Book SynopsisIntroduction – Governing AI Identities in a Post-Automation World  9.- PART 1: Identity Security 11.- Chapter 1: The New Actors (Introduction) 11.- Chapter 2: Introducing AI Agents – Automation Reimagined  18.- Chapter 3. Understanding Identity Security (Primer) 23.- Chapter 4: Ownership as a Security Control 29.- PART 2: Identity Security and AI 34.- Chapter 5. What AI Agents Really Are – AI Identities and the Case for a New Category 34.- Chapter 6. The Evolution of Identity Governance 46.- Chapter 7: Technical Implementation of AI Identity Governance 49.- Chapter 8: Delegation, Authority, and the Risk of Agent Autonomy 54.- PART 3: Securing AI Agents with RAISE  61.- Chapter 9: The RAISE Framework for Governing AI Identities 61.- Chapter 10: REVEAL - Discovery and Inventory of AI Identities 68.- Chapter 11: ASSIGN - Ownership in the Age of AI 76.- Chapter 12: INTERPRET - Trust, Explainability, and AI Agent Reputation 81.- Chapter 13: SECURE - Building Resilience into AI Identity Lifecycles 92.- Chapter 15: EVALUATE - The Lifecycle of an AI Identity 104.- PART 4: Operational and Strategic Considerations 109.- Chapter 16: Navigating Complex Regulatory and Compliance Frameworks for AI Identities 109.- Chapter 17: Security Controls and Countermeasures for AI Identities 117.- Chapter 18: Managing Third-Party and Vendor AI Identity Risks in the Supply Chain 122.- Chapter 19: Malicious Use and Insider Threats in AI Identity Systems 125.- Chapter 20: When AI Goes Off Script — Real-World Agentic AI Failures 129.- Chapter 22: Incident Response and Resilience for AI Identities 138.- Chapter 23: Forensics for AI Identities 141.- Chapter 24: Ethical Considerations and Responsible AI Governance 144.- Chapter 25: AI Identities in Critical Infrastructure 148.- Chapter 26: Operationalizing AI Identity Governance – A CISO’s Playbook 152.- Part 5: Looking Ahead  156.- Chapter 27: Future-Proofing and Strategic Roadmaps for AI Identity Governance 156.- Chapter 28: The Future Role of the Identity Architect 160.- Chapter 29: Human-AI Collaboration and the Future of Work 164.

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Book SynopsisKnow how to set up, defend, and attack computer networks with this revised and expanded second edition.You will learn to configure your network from the ground up, beginning with developing your own private virtual test environment, then setting up your own DNS server and AD infrastructure. You will continue with more advanced network services, web servers, and database servers and you will end by building your own web applications servers, including WordPress and Joomla!. Systems from 2011 through 2017 are covered, including Windows 7, Windows 8, Windows 10, Windows Server 2012, and Windows Server 2016 as well as a range of Linux distributions, including Ubuntu, CentOS, Mint, and OpenSUSE.Key defensive techniques are integrated throughout and you will develop situational awareness of your network and build a complete defensive infrastructure, including log servers, network firewalls, web application firewalls, and intrusion detection systems.Of course, you cannot trulTable of Contents

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Book SynopsisCyberattacks continue to increase in volume and sophistication, targeting everything owned, managed, and serviced from the cloud. Today, there is widespread consensusit is not a matter ofif, but ratherwhenan organization will be breached. Threat actors typically target the path of least resistance. With the accelerating adoption of cloud technologies and remote work, the path of least resistance is shifting in substantive ways. In recent years, attackers have realigned their efforts, focusing on remaining undetected, monetization after exploitation, and publicly shaming organizations after a breach. New, innovative, and useful products continue to emerge and offer some cloud protection, but they also have distinct limitations. No single, standalone solution or strategy can effectively protect against all cloud attack vectors or identify all malicious activity. The simple fact is that the cloud is based on a company's assets being offered as services.As a result, the best security anyTable of ContentsForwardIntroduction Chapter 1. Cloud Computing Software as a Service Platform as a Service Infrastructure as a Service Function as a Service X as a Service Desktop as a Service Data Center as a Service Managed Software as a Service Backend as a Service Chapter 2. Cloud Providers Amazon Web Services Microsoft Azure Google Cloud Platform Oracle Cloud Alibaba Other Services Chapter 3. Cloud Definitions Identities Accounts Entitlements Privileges Rights Permissions Containers Segmentation Microsegmentation Instances Chapter 4. Asset Management Discovery Chapter 5. Attack Vectors Entitlements Vulnerabilities Hardening Configurations Credentials S3 Buckets Identities Entitlements API Authentication Certificates Phishing Remote Access Supply Chain – 3rd Party MSP/MSSP Chapter 6. Mitigations Hardening Patch Management PAM CIEM CIAM CWPP Chapter 7. Regulatory Compliance Security Questionnaires SOC Type I Type II Type III Cloud Security Alliance CCM CAIQ CIS Controls PCI DSS ISO NIST FedRamp Chapter 8. Architectures Zero Trust Cloud-Native Hybrid Ephemeral Implementations Accounts Instances Privileges Chapter 9. Imposter Syndrome Chapter 10. Recommendations Chapter 11. Conclusion

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