Pathlock, the leading provider of application governance, risk and compliance (GRC),announced its participation in the Microsoft Security Copilot Partner Private Preview. Pathlock was selected based on their proven experience with Microsoft Security technologies, willingness to explore and provide feedback on cutting edge functionality, and close relationship with Microsoft.
CIO INFLUENCE News: D-Wave Showcases Advantage QPU’s Ability to Improve Cellphone Network Transmission
“In the context of security, AI’s impact is likely to be profound, tilting the scales in favor of defenders and empowering organizations to defend at machine speed. At Microsoft, we are privileged to have a leading role in advancing AI innovation, and we are so grateful to our incredible ecosystem of partners, whose mission-driven work is critical to helping customers secure their organizations and confidently bring the many benefits of AI into their environments,” said Vasu Jakkal, CVP, Microsoft Security.
Pathlock is working with Microsoft product teams to help shape Security Copilot product development in several ways, including validation and refinement of new and upcoming scenarios, providing feedback on product development and operations to be incorporated into future product releases, and validation and feedback of APIs to assist with Security Copilot extensibility. To learn more, read the announcement.
“Our integration of Pathlock Cloud and Microsoft Entra ID Governance provides new levels of granular analysis of user risk while consolidating two traditionally siloed ecosystems,” said Shep Parke, Vice President, Partnerships and Alliances, Pathlock. “We are pleased to announce this collaboration and offer key benefits to our customers, including improved compliance, cost reduction, streamlined user access reviews, cross-application support, and simplified audit capabilities.”
CIO INFLUENCE News: Webscale Acquires Section.io to Launch CloudFlow
Security Copilot is the first AI-powered security product that enables security professionals to respond to threats quickly, process signals at machine speed, and assess risk exposure in minutes. It combines an advanced large language model (LLM) with a security-specific model that is informed by Microsoft’s unique global threat intelligence and more than 65 trillion daily signals.
[To share your insights with us, please write to sghosh@martechseries.com]
