|
|
 |
This Showcase was published on March 31, 2025.
Presenters
Delegate Panel
Microsoft Security’s Tech Field Day Showcase features Nick Goodman and Neta Haiby discussing the Security Copilot journey as well as the importance of securing AI applications using Microsoft Defender Cloud.
The Security Copilot Journey with Microsoft Security
Watch on YouTube
Watch on Vimeo
Nick Goodman, Partner Product Manager Security Copilot at Microsoft, shares Copilot’s evolution from a chat-based assistant to an integrated AI tool embedded in security workflows. Initially designed to assist analysts through queries, Security Copilot quickly adapted to automation and workflow integration within products like Defender and Intune. Key use cases include phishing investigations, SOC situational awareness, process verification, and e-discovery. Microsoft has introduced multi-tenancy, flexible capacity, and multi-workspaces to enhance usability. Additionally, new security agents will automate threat response, vulnerability management, and conditional access policy enforcement, reducing manual workload and improving real-time security operations.
Being secure is the first step towards AI innovation. Join Microsoft Secure and learn how to harden your defenses by exploring new AI-first tools, demos, and best practices. Register now: aka.ms/GestaltITSecure #MSSecure
Personnel: Nick Goodman
Secure Your AI Applications with Microsoft Defender for Cloud
Watch on YouTube
Watch on Vimeo
Neta Haiby, Partner Product Manager, Security at Microsoft, emphasizes the importance of securing AI applications with Microsoft Defender for Cloud. She highlights key security challenges organizations face when adopting AI, including data leaks, injection attacks, and regulatory compliance. AI security extends beyond traditional threats to include model vulnerabilities, prompt injections, and amplified data risks. Defender for Cloud provides a layered security approach, integrating security posture management, threat protection, and real-time monitoring across AI workloads. It enables visibility into AI assets, detects vulnerabilities, and helps developers remediate security gaps. As AI adoption grows, securing custom-built applications becomes essential to safeguarding data, models, and user interactions.
Being secure is the first step towards AI innovation. Join Microsoft Secure and learn how to harden your defenses by exploring new AI-first tools, demos, and best practices. Register now: aka.ms/GestaltITSecure #MSSecure
Personnel: Neta Haiby