While the memory safety and security features of the Rust programming language can be effective in many situations, Rust’s compiler is very particular on what constitutes good software design practices. Whenever design assumptions disagree with real-world data and assumptions, there is the possibility of security vulnerabilities–and malicious software that can take advantage of those vulnerabilities. In this podcast from the Carnegie Mellon University Software Engineering Institute (SEI), David Svoboda and Garret Wassermann, researchers with the SEI's CERT Division, explore tools for understanding vulnerabilities in Rust whether the original source code is available or not. These tools are important for understanding malicious software where source code is often unavailable, as well as commenting on possible directions in which tools and automated code analysis can improve.
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Developing and Using a Software Bill of Materials Framework
The Importance of Diversity in Cybersecurity: Carol Ware
The Importance of Diversity in Software Engineering: Suzanne Miller
The Importance of Diversity in Artificial Intelligence: Violet Turri
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Atypical Applications of Agile and DevSecOps Principles
When Agile and Earned Value Management Collide: 7 Considerations for Successful Interaction
The Impact of Architecture on Cyber-Physical Systems Safety
ChatGPT and the Evolution of Large Language Models: A Deep Dive into 4 Transformative Case Studies
The Cybersecurity of Quantum Computing: 6 Areas of Research
User-Centric Metrics for Agile
The Product Manager’s Evolving Role in Software and Systems Development
Measuring the Trustworthiness of AI Systems
Actionable Data in the DevSecOps Pipeline
Insider Risk Management in the Post-Pandemic Workplace
An Agile Approach to Independent Verification and Validation
Zero Trust Architecture: Best Practices Observed in Industry
Automating Infrastructure as Code with Ansible and Molecule
Identifying and Preventing the Next SolarWinds
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