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NishMath - #datasecurity
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Steve Vandenberg@Microsoft Security Blog
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Microsoft is making significant strides in AI and data security, demonstrated by recent advancements and reports. The company's commitment to responsible AI is highlighted in its 2025 Responsible AI Transparency Report, detailing efforts to build trustworthy AI technologies. Microsoft is also addressing the critical issue of data breach reporting, offering solutions like Microsoft Data Security Investigations to assist organizations in meeting stringent regulatory requirements such as GDPR and SEC rules. These initiatives underscore Microsoft's dedication to ethical and secure AI development and deployment across various sectors.
AI's transformative potential is being explored in higher education, with Microsoft providing AI solutions for creating AI-ready campuses. Institutions are focusing on using AI for unique differentiation and innovation rather than just automation and cost savings. Strategies include establishing guidelines for responsible AI use, fostering collaborative communities for knowledge sharing, and partnering with technology vendors like Microsoft, OpenAI, and NVIDIA. Comprehensive training programs are also essential to ensure stakeholders are proficient with AI tools, promoting a culture of experimentation and ethical AI practices. Furthermore, Microsoft Research has achieved a breakthrough in computational chemistry by using deep learning to enhance the accuracy of density functional theory (DFT). This advancement allows for more reliable predictions of molecular and material properties, accelerating scientific discovery in fields such as drug development, battery technology, and green fertilizers. By generating vast amounts of accurate data and using scalable deep-learning approaches, the team has overcome limitations in DFT, enabling the design of molecules and materials through computational simulations rather than relying solely on laboratory experiments.
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@medium.com
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Cryptography is at the heart of cybersecurity, playing a critical role in protecting our digital world. Encryption, the process of converting plain text into an unreadable ciphered text, ensures secure communication. Cryptography secures sensitive information such as passwords, credit card numbers, and private messages from unauthorized access. Without it, digital secrets wouldn't exist, and our texts, emails, and bank records would be easily hackable. From ancient ciphers like the Caesar cipher to modern encryption algorithms, cryptography is essential for maintaining privacy and authenticity in the digital age.
Suite25519, a modern cryptographic library, emerges as a powerful tool for securing real-world assets. Designed for simplicity, efficiency, and security, it provides cryptographic functions centered around Ed25519 and X25519. Suite25519 supports key pair generation, digital signatures, encryption/decryption via ECIES, and CBOR serialization. This lightweight library is built for developers who require cryptographic capabilities without unnecessary overhead, offering isomorphic support for both Node.js and modern browsers. It allows developers to easily generate keys, sign messages, encrypt data, and perform combined operations securely. In the realm of decentralized asset control, Threshold BLS (tBLS) signatures are being pioneered to enhance cross-chain transaction throughput. This approach replaces complex Threshold ECDSA with a faster and simpler alternative, vastly improving the efficiency of cross-chain applications. Threshold signatures schemes enable a distributed group of validators to collaboratively authorize transactions without relying on a single entity, enhancing security and resilience against malicious activities. ZetaChain is at the forefront of implementing tBLS signatures, aiming to overcome the performance limitations of existing methods and provide more secure and scalable solutions for blockchain interoperability.
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