
Prevent sensitive data leaks to GitHub with SEDATED, an analyzer that catches and blocks commits containing user credentials or tokens before they're pushed.

Security researcher Ken Westin explores privacy risks in the Internet of Things, demonstrating how seemingly innocuous data can be exploited by criminals and how businesses can protect their customers' information.

Learn to securely encrypt DataStore in Android, enhancing data protection. Discover implementation techniques, best practices, and overcome challenges in safeguarding sensitive information within your Android applications.

Discover essential guidelines for prioritizing privacy and user identity protection in project development, ensuring compliance with regulations and safeguarding sensitive information.

Explore security and software changes for IO support in trusted execution environments, focusing on confidential computing and hardware-based TEEs like Intel SGX and TDX.

Secure boot and disk encryption implementation on Tegra platforms: lessons learned, challenges faced, and solutions developed for a robust and future-proof system using vendor tools and custom OS builds.

Experts discuss strategies for implementing and scaling decentralized identity systems, focusing on practical approaches and real-world applications.

Explore privacy-by-design principles and their practical implementation in software development, enhancing user trust and data protection.

Explore security options for Rook with Ceph, including threat modeling, encryption, access controls, and infrastructure hardening for robust data protection in container-based storage systems.

Learn essential strategies for safeguarding cloud-native data, exploring Kubernetes volumes, CSI drivers, and advanced capabilities to ensure robust protection in modern environments.

Explores global perceptions of AI's impact on privacy, revealing concerns about data vulnerability, personal inference, consent issues, and surveillance across 10 countries.

Experts discuss risks and benefits of generative AI in companies, focusing on compliance, privacy, and security. Includes presentations from emerging AI and data security firms.

Experts discuss advanced techniques for secure data sharing, including synthetic data, differential privacy, and federated analytics, addressing key challenges in the field.

Explore Linux system integrity with IBM engineer Mimi Zohar, covering key concepts and techniques for ensuring secure and reliable software environments.

Explore SD-JWT projects with Daniel Fett, gaining insights into selective disclosure JSON Web Tokens and their practical applications in digital identity and security.

Explore web security essentials, privacy concerns, and best practices for safer online interactions with Mozilla TechSpeaker Mijanur Rahman Rayhan.

Explore strategies for maintaining the meta-tegra BSP layer amid major SDK and OpenEmbedded changes, covering bootloader updates, trusted OS transitions, and support for future Jetson platforms.

Explore tradeoffs in data security, usability, and system architecture. Learn about constraints, information needs, and potential pitfalls in building secure yet functional computer systems.

Explore Dime, a modern data format for building trust networks and enabling secure communication. Learn its advantages over X.509 certificates and its potential for future applications.

Explore strategies to secure AI/ML and Big Data pipelines, leveraging insights from NIST SP 800-204D and CNCF projects to protect critical AI workflows and sensitive data.

Explore TEE-enforced sticky policies for collaborative and private data processing in this insightful tech talk by Zhiqiang Lin.