Building policy enforcement into the AI stack with Praxis
Technical note
Malgorzata Steinder, Frederico Araujo, and Ian Molloy
Data and AI Security
As organizations move to the hybrid cloud, they must protect sensitive data and comply with regulations that allow them to take advantage of AI. We’re designing systems to monitor and protect data, building trust in AI through robust evaluation, certification, and hardening against attacks.
Our work
Bringing the power of semantic AI to IBM Db2
Technical notePrabhakar Kudva, Apoorva Nitsure, Petr Novotny, Hong Min, and Donna DillenbergerToward a transparent supply chain for AI
NewsKim MartineauIBM further strengthens Granite for enterprise deployment with HackerOne
NewsMike MurphyDARPA and IBM are ensuring that anyone can protect their AI systems from hackers
NewsMike MurphyAn AI model trained on data that looks real but won’t leak personal information
ResearchKim Martineau- See more of our work on Data and AI Security
IBM Solution: IBM Cloud Pak for Data
Our research is regularly incorporated into new security features for IBM Cloud Pak for Data.
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