As cited
Copy frozen at (site build).
cloud saas
Fortinet adds AI controls and data loss prevention to FortiEndpoint
Fortinet announced new AI visibility, control, and data loss prevention capabilities integrated into its FortiEndpoint unified endpoint platform. The additions include endpoint risk scoring, AI-assisted security operations, and features to govern AI usage and reduce sensitive data exposure across distributed environments.
Why it matters: Security teams managing distributed endpoints can now better control AI tool adoption and limit data exfiltration risk without adding separate tools.
- Source published
- First seen by Cybersecurity Tracker
Source attribution
Correction
Correction recorded as of .
cloud saas
Fortinet adds AI controls and data loss prevention to FortiEndpoint
No summary had been written when this copy was frozen.
- First seen by Cybersecurity Tracker
Source attribution
Correction
Correction recorded as of .
cloud saas
Fortinet adds AI controls and data loss prevention to FortiEndpoint
Fortinet announced new features for FortiEndpoint that add artificial intelligence (AI) visibility and control, data loss prevention, endpoint risk scoring, and FortiAI-assisted operations. The update addresses organizational needs to govern AI usage, reduce sensitive data exposure, enforce risk-based access policies, and streamline security operations across distributed environments.
Why it matters: Security teams managing endpoints and concerned about uncontrolled AI tool adoption or data exfiltration should evaluate whether these new controls reduce manual governance overhead and improve incident response speed.
- Source published
- First seen by Cybersecurity Tracker
Source attribution
Correction
Correction recorded as of .
cloud saas
Fortinet adds AI controls and data loss prevention to FortiEndpoint
Fortinet announced new features for FortiEndpoint that add artificial intelligence (AI) visibility and control, data loss prevention, endpoint risk scoring, and FortiAI-assisted operations. The update addresses organizational needs to govern AI usage, reduce sensitive data exposure, enforce risk-based access policies, and streamline security operations across distributed environments.
Why it matters: Security teams managing endpoints and concerned about uncontrolled AI tool adoption or data exfiltration should evaluate whether these new controls reduce manual governance overhead and improve incident response speed.
- Source published
- First seen by Cybersecurity Tracker