Chris Wysopal
The transformative impact of GenAI for software development and its implications for cybersecurity
#1about 6 minutes
From vulnerability researcher to automated security founder
The speaker traces their journey from a hacker testifying before the US Senate to founding Veracode to automate application security testing.
#2about 2 minutes
Analyzing vulnerability introduction and security debt
Data shows that new vulnerabilities increase as software ages and most teams accumulate security debt by not fixing flaws within a year.
#3about 4 minutes
How generative AI is changing software development
Generative AI boosts productivity through code generation and other tasks, but its reliance on vulnerable open-source code for training data introduces significant risk.
#4about 5 minutes
Research shows GenAI tools frequently generate insecure code
Multiple academic studies reveal that 30-40% of AI-generated code contains vulnerabilities, and developers are often overconfident in its security.
#5about 1 minute
Generative AI accelerates the creation of vulnerable code
By increasing code velocity without improving security quality, generative AI leads to a higher rate of new vulnerabilities being introduced into codebases.
#6about 4 minutes
Using AI to automatically find and fix security flaws
The solution to AI-generated vulnerabilities is to use specialized AI models, trained on curated good and bad code, to automate security fixes.
#7about 2 minutes
Evaluating the risks of AI-powered security tools
When adopting AI tools for security, it is crucial to consider the trustworthiness of training data, licensing issues, IP leakage, and fix accuracy.
#8about 1 minute
Prompting for security and embracing automation
Developers should explicitly ask generative AI for secure code and integrate automated security testing and fixing tools to keep pace with development.
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Matching moments
07:10 MIN
Managing security risks of AI-assisted code generation
WWC24 - Chris Wysopal, Helmut Reisinger and Johannes Steger - Fighting Digital Threats in the Age of AI
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06:09 MIN
Understanding the security risks of AI-generated code
Exploring AI: Opportunities and Risks in Development
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04:18 MIN
The security risks of AI-generated code
A hundred ways to wreck your AI - the (in)security of machine learning systems
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03:35 MIN
Understanding AI security risks for developers
The AI Security Survival Guide: Practical Advice for Stressed-Out Developers
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01:59 MIN
How AI coding assistants impact developer skills
Navigating the Future of Junior Developers in Tech
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01:59 MIN
The limitations and security risks of AI-generated code
Navigating the Future of Junior Developers in Tech
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02:38 MIN
How generative AI fundamentally changes cybersecurity threats
WWC24 - Chris Wysopal, Helmut Reisinger and Johannes Steger - Fighting Digital Threats in the Age of AI
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04:06 MIN
How AI-assisted coding impacts web application security
What The Hack is Web App Sec?
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