Private ML SDK provides a secure environment for running LLM workloads with guaranteed privacy and security, preventing unauthorized access to both the model and user data during inference operations.

Abstract: Public cloud platforms have employed Trusted Execution Environment (TEE) technology to provide confidential computing services. However, applications running on cloud TEEs are susceptible to ...

As AI systems begin to act, enterprises face a new crisis: how to govern decisions, risk, and compliance in a world run ...

What looks like an ordinary Google search could be a disguise steering Indians and their trust towards illegal betting, gambling, and scam websites without us realising it. Millions of Indians search, ...

Abstract: Blockchain technology presents significant security challenges despite its transformative impact on digital transactions and decentralized data management. Key vulnerabilities include ...