Integrations 101
Comprehensive guide to Snyk integrations, covering IDE setup, CLI usage, Git onboarding, Jira integration, and reporting. Ideal for new users and administrators seeking to enhance security in their development pipeline.
Inclusive Search and Recommendations
Explore inclusive AI in personalized discovery systems, focusing on fairness, diversity, and privacy. Learn strategies for reducing bias and implementing responsible AI in search and recommendation algorithms.
Securing Managed Kubernetes Clusters
Explore Kubernetes security for managed cloud clusters, understanding threat models and gaining actionable recommendations for secure workload deployment in this comprehensive overview.
OWASP Secrets Management Cheat Sheet Overview - Best Practices for Secure Handling
Explore best practices for secrets management, including guidance for CI/CD pipelines, encryption, detection, and incident handling based on the OWASP Secrets Management Cheat Sheet.
A Hacker's Guide to Blockchain, Smart Contracts, and NFTs
Explore blockchain technology, smart contracts, and NFTs from a hacker's perspective, gaining insights into security implications and potential vulnerabilities.
Security While Scaling Agile - Lessons Learned
Integrating software security practices into scaled Agile frameworks: strategies, challenges, and lessons learned for maintaining security without impeding product delivery.
Kubernetes Ingress-Nginx Security from Beginner to Expert - 2019
Learn to secure Kubernetes applications using Nginx-Ingress Controller, covering various configuration techniques to protect against vulnerabilities and enhance overall cloud security.
Face Recognition and Privacy: Balancing Technology and Personal Rights - 2019
Exploring face recognition technology, its applications, privacy implications, and global legislation. Dispels myths and discusses potential for privacy-preserving implementations of this identification method.
Cryptography: How Its Usage Affects Protection - 2018
Practical advice on proper cryptography usage in software and systems, covering design techniques, implementation best practices, and common pitfalls to avoid for secure application development.
Scanning IPv4 for Exposed Data and Vulnerable Databases
Exploring IPv4 scans to uncover exposed databases, revealing vulnerabilities in popular key-value stores and the risks of data theft and remote code execution in insecure setups.
Internet of Things Security Challenges and Approaches - 2016
Explore challenges and approaches for securing Internet of Things (IoT) devices, including heterogeneous environments, data gathering, and working with project sponsors to identify and resolve security issues.
Building End-to-End Encryption and User Identity for Video Conferencing - Zoom's Approach
Exploring Zoom's approach to end-to-end encryption and user identity in video conferencing, focusing on security, trust, and user-friendly implementation in a remote-first world.
Building Realistic Machine Learning Systems for Security
Explore building robust machine learning systems for malware detection, addressing challenges like low false positive rates, polluted data, and realistic adversarial attacks in security applications.
Trustworthy Machine Learning: Challenges and Frameworks
Exploring the security challenges in machine learning, this talk discusses strategies for building trustworthy AI systems by analyzing data influence, addressing vulnerabilities, and enhancing interpretability.
Callisto: A Cryptographic Approach to #MeToo
Innovative platform using cryptography to support sexual assault survivors, detect repeat offenders, and facilitate safe reporting while preserving privacy and legal privilege.
Classifiers Under Attack: Evasion Techniques and Defensive Strategies
Exploring vulnerabilities in machine learning classifiers for security applications, demonstrating evasion techniques, and discussing methods to enhance robustness against adversarial attacks.
IoT Security Risks - A Cybercriminal's Paradise
Explore IoT vulnerabilities, malware threats, and attack scenarios in this talk. Learn about risks to home and corporate users, and discover recommendations for better protection against these dangerous attacks.
Adversarial Examples in Machine Learning - Crafting and Defending Against Attacks
Explore machine learning vulnerabilities, adversarial examples, and their impact on system security. Learn crafting techniques and defenses through practical tutorials and real-world applications.
Leveraging Human Factors to Stop Dangerous IoT
Explore strategies to mitigate IoT security risks through informed device selection and user-friendly interfaces that nudge consumers towards safer choices, based on psychological factors and effective risk communication.
Emerging Cryptography: Impact on Security and Privacy
Exploring emerging cryptographic technologies and their potential impact on security and privacy, focusing on secure enclaves, homomorphic encryption, multiparty computation, and functional cryptography.
The Evolving Architecture of the Web and Its Impact on Security, Privacy, and Latency
Explore how changes in web architecture impact security, privacy, and latency. Examine evolving protocols and debate tradeoffs between complexity and user benefits.