1h
The Modern Security Podcast: How Github's Chief Security Officer Blends Security & Engineering The Modern Security Podcast
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- Tecnologia
In this episode, Clint interviews Mike Hanley, Chief Security Officer and SVP of Engineering at GitHub. They discuss the importance of balancing engineering and security, and how GitHub focuses on building secure defaults. Mike also shares how GitHub uses AI internally, including the use of GitHub Copilot for code generation and other AI capabilities in their product features. They explore the potential impact of AI on cybersecurity and the need for organizations to embrace AI to enhance productivity and security. The conversation explores the potential of AI in developer tools and its impact on security. It emphasizes the importance of human oversight and the need to address legacy code and infrastructure. The future of shifting left and the role of AI in security education are also discussed. The conversation concludes with a discussion on AI's potential in code refactoring and the future of cybersecurity and development.
Takeaways
-Balancing engineering and security is crucial for effective and secure software development.
-Building secure defaults and embedding security in the development process can lead to better security outcomes.
-AI can be used to enhance productivity and security in software development, such as with GitHub Copilot.
-AI has the potential to transform workflows in areas like incident response and code scanning. AI has tremendous potential in developer tools and is still in the early stages of development.
-AI can improve security practices but should not replace human oversight and traditional security measures.
-The future of shifting left involves integrating security practices earlier in the development process.
-Fine-tuning AI for custom use cases and addressing legacy code and infrastructure are important challenges.
-AI can play a significant role in security education and code refactoring.
-The future of cybersecurity and development will involve a combination of AI and human expertise.
Chapters
00:00 Introduction and Background
03:15 Balancing Engineering and Security
08:10 Building Secure Defaults
13:41 The Role of AI at GitHub
25:19 AI Applications in Security
32:02 Impact of GitHub Copilot
32:30 The Potential of AI in Developer Tools
34:04 The Impact of AI on Security
36:18 The Importance of Human Oversight
39:09 The Future of Shifting Left
40:21 Fine-Tuning AI for Custom Use Cases
41:36 Addressing Legacy Code and Infrastructure
43:20 The Need for AI in Security
45:32 The Role of AI in Security Education
46:42 AI's Potential in Code Refactoring
50:03 The Future of Cybersecurity and Development
In this episode, Clint interviews Mike Hanley, Chief Security Officer and SVP of Engineering at GitHub. They discuss the importance of balancing engineering and security, and how GitHub focuses on building secure defaults. Mike also shares how GitHub uses AI internally, including the use of GitHub Copilot for code generation and other AI capabilities in their product features. They explore the potential impact of AI on cybersecurity and the need for organizations to embrace AI to enhance productivity and security. The conversation explores the potential of AI in developer tools and its impact on security. It emphasizes the importance of human oversight and the need to address legacy code and infrastructure. The future of shifting left and the role of AI in security education are also discussed. The conversation concludes with a discussion on AI's potential in code refactoring and the future of cybersecurity and development.
Takeaways
-Balancing engineering and security is crucial for effective and secure software development.
-Building secure defaults and embedding security in the development process can lead to better security outcomes.
-AI can be used to enhance productivity and security in software development, such as with GitHub Copilot.
-AI has the potential to transform workflows in areas like incident response and code scanning. AI has tremendous potential in developer tools and is still in the early stages of development.
-AI can improve security practices but should not replace human oversight and traditional security measures.
-The future of shifting left involves integrating security practices earlier in the development process.
-Fine-tuning AI for custom use cases and addressing legacy code and infrastructure are important challenges.
-AI can play a significant role in security education and code refactoring.
-The future of cybersecurity and development will involve a combination of AI and human expertise.
Chapters
00:00 Introduction and Background
03:15 Balancing Engineering and Security
08:10 Building Secure Defaults
13:41 The Role of AI at GitHub
25:19 AI Applications in Security
32:02 Impact of GitHub Copilot
32:30 The Potential of AI in Developer Tools
34:04 The Impact of AI on Security
36:18 The Importance of Human Oversight
39:09 The Future of Shifting Left
40:21 Fine-Tuning AI for Custom Use Cases
41:36 Addressing Legacy Code and Infrastructure
43:20 The Need for AI in Security
45:32 The Role of AI in Security Education
46:42 AI's Potential in Code Refactoring
50:03 The Future of Cybersecurity and Development
1h