Data governance will probably be owned by platforms ? One of the single biggest reasons that [enterprises] are worried about [deploying generative AI] is data leakage,” said Rohan Kumar, Corporate Vice President at Microsoft, in an interview with VentureBeat. “The broader trend of ensuring that the AI, which is augmenting the language model in context of situations, is governed really well.” Purview’s approach centers on what Microsoft calls a “federated governance model,” allowing different business units to manage their own data products while maintaining centralized policy enforcement. This model aims to strike a balance between empowering business users and maintaining organizational control. A key feature of Purview is its use of natural language processing to enhance data visibility and management. This allows users to interact with data governance tools using natural language queries, potentially lowering barriers to adoption. https://lnkd.in/gDAy7hMp
SecuriGeek
1mo
It seems that data governance will be handled by platforms to ensure control and empower users.
Anjali Gugle
1mo
Pramod Gosavi - Data Product platform powered with Federated Governance will serve the governance and autonomy challenges. - https://www.linkedin.com/posts/anjaligugle_supernova2023-cce2023-wearecisco-activity-7123431955936743424-sgS5/
Walter Haydock
1mo
Obviously I'm biased based on my work at a data governance startup, but the biggest issues with platform solutions are: - Lack of multi-cloud functionality - Cost - Microsoft-calibre UX and features
Girish Bhat
1mo
Pramod Gosavi Microsoft has been a bit behind but will be a top vendor soon.
Manu Bansal
1mo
Unlikely because platforms don’t have an incentive to build horizontally but data is and will be spread over double digit number of technologies. There will be room for ISVs.
The single DLP policy everywhere (same policy, same classifiers, across all channels: endpoint, network, cloud) was always the winning playbook at Symantec (on-prem, endpoint, cloud...). Unless threat detection you really want to define your confidential data (IP and PII) and protection policy once. I think CASB/SSE with endpoint DLP, SaaS API DLP, cloud email and SWGaaS DLP will be the winning data protection platform. If Palo, ZScaler or Netskope were to add a legitimate DSPM (IaaS DLP), and unify the policy mgmt. (single policy), they would be highly competitive data security platforms. In fact, data protection with a single policy across all major control points is the way to converge the two big cloud security markets (SASE + CNAPP)...Also the the key to AI security (Cyber for AI starts with DAG then AI firewall)...