[PDF REPOSITORY FOR GENERATIVE AI & CYBERSECURITY]

Summary:

• Details various adversarial attacks in AI, including extraction, inversion, and poisoning.

• Provides defense mechanisms against these attacks, such as differential privacy and adversarial training.

• Discusses practical examples and current projects in AI cybersecurity.

Keywords: Adversarial Attacks, Differential Privacy, Adversarial Training, Cybersecurity, AI

Category: Cybersecurity, AI

Author: Peter Halberg

Summary:

• Examines the role of generative AI in enhancing penetration testing methodologies.

• Highlights AI usage in planning, reconnaissance, threat modeling, vulnerability analysis, exploitation, and reporting.

• Discusses ethical concerns and potential misuse of AI in security contexts.

Keywords: Penetration Testing, Generative AI, Vulnerability Analysis, Threat Modeling, Ethical Concerns

Category: Cybersecurity, AI

Author: Katharina Koerner

Summary:

• Outlines principles and trends in responsible AI, focusing on security, privacy, and data governance.

• Includes insights on the EU AI Act and NIST’s taxonomy of machine learning attacks.

• Emphasizes the importance of traditional security practices adapted to AI/ML systems.

Keywords: Responsible AI, Privacy, Data Governance, EU AI Act, NIST, Machine Learning Attacks

Category: AI Security

Author: OWASP

Summary:

• Identifies the top 10 security risks associated with large language models (LLMs) as outlined by OWASP.

• Provides detailed descriptions and mitigation strategies for each risk to help organizations protect their AI applications.

• Includes recommendations for securing LLMs and integrating them into existing security frameworks.

Keywords: OWASP, Large Language Models, Security Risks, Mitigation Strategies, AI Security

Author: Daiki

Summary:

• Provides a comprehensive framework for developing and implementing an AI strategy.

• Covers strategic planning, risk management, and aligning AI initiatives with organizational goals.

• Includes practical steps and case studies to illustrate successful AI strategy implementation.

Keywords: AI Strategy, Risk Management, Strategic Planning, Organizational Goals, Case Studies

Category: AI Strategy

Author: Unspecified

Summary:

• Discusses the importance of auditing AI systems to ensure compliance with ethical and legal standards.

• Covers methodologies for evaluating AI models, data integrity, and transparency.

• Provides recommendations for continuous monitoring and improvement of AI systems.

Keywords: AI Auditing, Compliance, Data Integrity, Transparency, Continuous Monitoring

Author: Steve Nouri

Summary:

• Provides examples of how AutoGPT can be used in different scenarios.

• Highlights the differences between AutoGPT and ChatGPT, focusing on task completion with minimal user input.

• Discusses use cases such as market research, content generation, and data analysis.

Keywords: AutoGPT, Examples, Task Completion, Market Research, Content Generation, Data Analysis

Category: Artificial Intelligence

Authors: Tong Liu, Yuekang Li, Contributors: Zizhuang Deng, Guozhu Meng, Kai Chen

Summary:

• Discusses the discovery and exploitation of RCE vulnerabilities in real-world LLM-integrated frameworks and apps.

• Highlights different attack techniques such as jailbreak, prompt injection, and prompt leaking.

• Provides mitigation strategies and hazard analysis for LLM-integrated systems.

Keywords: RCE Vulnerabilities, LLM-Integrated Frameworks, Jailbreak, Prompt Injection, Mitigation Strategies

Category: Cybersecurity

Author: Joas Antonio Dos Santos

Summary:

• Discusses the applications of ChatGPT in cybersecurity.

• Provides practical examples for incident response, malware containment, and threat identification.

• Includes detailed instructions for using ChatGPT in various cybersecurity tasks.

Keywords: ChatGPT, Cybersecurity, Incident Response, Malware Containment, Threat Identification

Category: Cybersecurity

Author: Adam Leon Smith

Summary:

• Offers an overview of AI use across various industries and the importance of AI standards.

• Discusses the benefits of AI standards for organizations, including enhancing operational efficiency and mitigating risks.

• Highlights the role of ISO/IEC standards in managing AI development and deployment.

Keywords: AI, AI Standards, Operational Efficiency, Risk Mitigation, ISO/IEC

Category: AI Standards

Author: U.S. Department of the Treasury

Summary:

• Focuses on managing AI-specific cybersecurity risks in the financial services sector.

• Discusses current AI-related cybersecurity threats and vulnerabilities.

• Provides recommendations for mitigating risks and ensuring the safe use of AI in financial services.

Keywords: AI Cyber Risks, Financial Services, Cybersecurity, Risk Mitigation, Vulnerabilities

Category: Cybersecurity

Author: GovTech Data Science & AI Division

Summary:

• A comprehensive guide on prompt engineering techniques for optimizing AI model performance.

• Discusses various strategies and best practices for crafting effective prompts.

• Includes examples and case studies to illustrate the impact of well-designed prompts.

Keywords: Prompt Engineering, AI Models, Optimization, Best Practices, Case Studies

Category: AI Development

Author: Ian Khan

Summary:

• Offers a quick reference guide on the principles and techniques of prompt engineering for AI models.

• Discusses the importance of crafting effective prompts to improve the performance and accuracy of AI-generated responses.

• Provides practical tips and examples to illustrate successful prompt engineering strategies.

Keywords: Prompt Engineering, AI Models, Effective Prompts, Performance Improvement, Practical Tips

Category: Artificial Intelligence

Author: Franklin Nnabuike Okeke

Summary:

• Assesses the role of generative AI in cybersecurity, focusing on its potential applications and associated challenges.

• Highlights how generative AI can enhance threat detection, intrusion prevention, and vulnerability assessment while also discussing potential risks.

• Explores vulnerabilities within tools like ChatGPT, Bard, and ClaudeAI that could be exploited for social engineering and prompt injection attacks.

Keywords: Generative AI, Cybersecurity, Threat Detection, Vulnerability Assessment, Social Engineering

Category: Cybersecurity

Authors: Sandy Dunn, Heather Linn, John Sotiropoulos, Steve Wilson, Fabrizio Cilli, Aubrey King, Bob Simonoff, David Rowe, Rob Vanderveer, Emmanual Guilherme Junior, Andrea Succi, Jason Ross, Talesh Seeparsan, Anthony Glynn, Julie Tao

Summary:

• Provides a comprehensive checklist for securing and governing large language models (LLMs).

• Covers aspects such as adversarial risks, threat modeling, AI asset inventory, and regulatory compliance.

• Includes guidelines for integrating LLM security and governance with existing practices and controls.

Keywords: LLM Security, Governance, Checklist, AI Asset Inventory, Regulatory Compliance

Category: Cybersecurity

Autor: Dr. Alfonso Muñoz

Resumen:

Explora la seguridad ofensiva en el aprendizaje automático centrándose en la ingeniería de prompt.

Detalla varias técnicas de inyección de avisos y sus implicaciones para la seguridad de la IA.

Proporciona ejemplos y estrategias para defenderse de los ataques basados en instrucciones en los sistemas de IA.

Palabras clave: Seguridad ofensiva, ingeniería de prompt, aprendizaje automático, inyección de prompt, seguridad de IA

Categoría: Ciberseguridad

Author: Dr. Alfonso Muñoz

Summary:

• Explores offensive security in machine learning with a focus on prompt engineering.

• Details various prompt injection techniques and their implications for AI security.

• Provides examples and strategies for defending against prompt-based attacks in AI systems.

Keywords: Offensive Security, Prompt Engineering, Machine Learning, Prompt Injection, AI Security

Category: Cybersecurity

Author: Hause Lin

• Summary:

  • Provides an interface to run local language models with 'Ollama' server and API endpoints.

  • Includes functionality for chatting with models, generating responses, and managing models.

  • Covers creating requests, deleting models, and obtaining vector embeddings for prompts.

• Keywords: Ollama, Language Models, API, Local Models, Embeddings

• Category: AI Tools

Author: Pam Baker

Summary:

• A comprehensive guide on how to use ChatGPT for various applications.

• Covers basics, advanced features, and practical tips for leveraging ChatGPT effectively.

• Includes examples and step-by-step instructions for new users.

Keywords: ChatGPT, Guide, Basics, Advanced Features, Practical Tips

Category: Artificial Intelligence

Author: The Institute of Internal Auditors

Summary:

• Provides an introduction to using AI and natural language processing tools for internal auditing.

• Discusses various use cases, sample prompts, and key considerations for auditors.

• Highlights common risks and best practices in utilizing AI tools in audit processes.

Keywords: AI, Internal Auditing, Natural Language Processing, Use Cases, Best Practices

Category: Auditing

Author: Cloud Security Alliance

Summary:

• Explores the security implications of using ChatGPT in various applications.

• Discusses potential risks and vulnerabilities associated with ChatGPT.

• Provides recommendations for mitigating security risks when using ChatGPT.

Keywords: ChatGPT, Security Implications, Risks, Vulnerabilities, Mitigation

Category: Cybersecurity

Author: Neural Magic

Summary:

• A cheat sheet illustrating the diverse abilities of ChatGPT for developers and content creators.

• Covers various domains including natural language processing, programming, and media content creation.

• Provides examples of prompts and structured output styles.

Keywords: ChatGPT, Cheat Sheet, NLP, Programming, Content Creation

Author: KTH ROYAL INSTITUTE OF TECHNOLOGY

Summary:

• Describes the use of ChatGPT as a tool in cybersecurity.

• Highlights various applications such as incident response, threat detection, and adversary emulation.

• Includes practical examples and command usage for cybersecurity tasks.

Keywords: ChatGPT, Cybersecurity Tool, Incident Response, Threat Detection, Adversary Emulation

Category: Cybersecurity

Author: Yagmur Yigit, William J Buchanan, Madjid G Tehrani, Leandros Maglaras

Summary:

• Explores the application of generative AI in enhancing cybersecurity measures.

• Discusses how AI can be used for threat detection, response automation, and vulnerability analysis.

• Highlights case studies and real-world applications of generative AI in cybersecurity.

Keywords: Generative AI, Cybersecurity, Threat Detection, Response Automation, Vulnerability Analysis

Category: Cybersecurity

Author: National Cyber Security Centre (USA)

Summary:

• Provides guidelines for developing secure AI systems, focusing on best practices and standards.

• Covers various aspects of AI system security, including data protection, model integrity, and compliance.

• Offers a framework for organizations to ensure their AI systems are robust and secure.

Keywords: AI System Development, Security Guidelines, Best Practices, Data Protection, Compliance

Category: AI Security

Author: Shing-hon Lau

Summary:

• Discusses the intersection of artificial intelligence, machine learning, and cybersecurity.

• Examines how AI and ML can be used both defensively and offensively in cyber contexts.

• Highlights key examples and case studies, such as ChatGPT, FraudGPT, and WormGPT.

Keywords: AI, Machine Learning, Cybersecurity, Defensive AI, Offensive AI

Category: Cybersecurity, AI

Author: standards.iteh.ai

Summary:

• Details the ISO/IEC 42001 standard for artificial intelligence management systems.

• Provides a framework for organizations to implement and certify AI management practices.

• Emphasizes the importance of governance, risk management, and compliance in AI systems.
  
  paid version: https://www.iso.org/standard/81230.html

Keywords: ISO/IEC 42001, AI Management Systems, Governance, Risk Management, Compliance

Category: AI Standards

Author: Team8

Summary:

• Analyzes the risks associated with the use of generative AI and ChatGPT in enterprise settings.

• Identifies potential security and compliance issues arising from AI deployments.

• Provides recommendations for mitigating risks and ensuring safe AI usage in enterprises.

Keywords: Generative AI, ChatGPT, Enterprise Risks, Security, Compliance

Category: Cybersecurity

Author: Unspecified

Summary:

• Details the current threat landscape associated with OpenAI models and their applications.

• Analyzes potential vulnerabilities and threat vectors targeting AI systems.

• Provides recommendations for enhancing security measures to mitigate identified risks.

Keywords: OpenAI, Threat Intelligence, AI Security, Vulnerabilities, Risk Mitigation

Category: Cybersecurity

Author: David Greenwood

Summary:

• Explores the integration of ChatGPT into threat intelligence operations.

• Discusses methods for structuring and enriching intelligence reports using AI.

• Highlights the benefits and challenges of using ChatGPT for generating and organizing threat intelligence data.

Keywords: Threat Intelligence, ChatGPT, Data Structuring, AI Integration, Intelligence Reports

Category: Cybersecurity

Author: Europol Innovation Lab

Summary:

• Examines the impact of large language models like ChatGPT on law enforcement activities.

• Discusses potential criminal use cases, including fraud, impersonation, and cybercrime.

• Provides recommendations for law enforcement to adapt to the evolving threat landscape posed by LLMs.

Keywords: Large Language Models, Law Enforcement, Criminal Use Cases, Fraud, Cybercrime

Category: Cybersecurity

Author: Darktrace

Summary:

• Provides a comprehensive overview of the current state of AI in cybersecurity.

• Discusses emerging threats, vulnerabilities, and the impact of AI on cybersecurity practices.

• Highlights strategies for integrating AI into cybersecurity defenses and operations.

Keywords: AI Cybersecurity, Emerging Threats, Vulnerabilities, Cybersecurity Integration, AI Impact

Category: Cybersecurity

Author: CISA

Summary:

• Outlines the roadmap for AI initiatives led by the Cybersecurity and Infrastructure Security Agency (CISA) for 2023-2024.

• Highlights key efforts to secure AI systems, promote responsible AI use, and protect critical infrastructure from AI-related threats.

• Details five main lines of effort, including AI assurance, protecting critical infrastructure, and expanding AI expertise in the workforce.

Keywords: CISA, AI Roadmap, Cybersecurity, Critical Infrastructure, AI Assurance

Category: Cybersecurity

Author: Federal Office for Information Security

Summary:

• Discusses the capabilities and applications of generative AI models.

• Explores different types of generative models and their potential uses in various industries.

• Highlights challenges and ethical considerations in the deployment of generative AI.

Keywords: Generative AI, AI Models, Applications, Ethical Considerations

Category: Artificial Intelligence

Author: Gilbert Mizrahi

Summary:

• Provides a detailed guide on the techniques and best practices for effective prompt engineering.

• Covers various use cases and examples of prompt engineering to optimize AI model performance.

• Discusses common challenges and solutions in crafting and refining prompts.

Keywords: Prompt Engineering, Best Practices, Use Cases, AI Optimization, Challenges

Category: Artificial Intelligence

Author: Nico Dekens

Summary:

• Provides strategies for using ChatGPT in open-source intelligence (OSINT) to combat disinformation and fake reviews.

• Explains how to identify AI-generated content and mitigate the spread of false information.

• Includes practical examples and case studies to illustrate the techniques discussed.

Keywords: OSINT, ChatGPT, Disinformation, Fake Reviews, AI-generated Content

Category: Cybersecurity, AI

Author: Hui Yang, Sifu Yue, Yunzhong He

Summary:

• Analyzes the use of Auto-GPT for enhancing decision-making processes online.

• Discusses benchmark metrics and performance evaluation in various scenarios.

• Provides insights into the practical applications and limitations of Auto-GPT.

Keywords: Auto-GPT, Decision Making, Benchmarks, Performance Evaluation, Practical Applications

Category: AI, Decision Making

Author: Richard Fang, Rohan Bindu, Akul Gupta, Qiusi Zhan, Daniel Kang

Summary:

• Examines the potential for large language model (LLM) agents to autonomously hack websites.

• Discusses ethical implications and security measures to mitigate risks.

• Provides case studies and examples of autonomous hacking scenarios.

Keywords: LLM Agents, Autonomous Hacking, Security Measures, Ethical Implications, Case Studies

Category: Cybersecurity, AI

Author: Yiannis Charalambous∗, Norbert Tihanyi†, Ridhi Jain†, Youcheng Sun∗, Mohamed Amine Ferrag†, Lucas C. Cordeiro∗

Summary:

• Explores advancements in software security focusing on self-healing systems.

• Discusses methods for systems to detect, diagnose, and repair issues autonomously.

• Emphasizes the integration of AI and machine learning to enhance security protocols.

Keywords: Software Security, Self-Healing, AI, Machine Learning, Autonomous Systems

Category: Cybersecurity