Distributed Cloud AIP, formerly known as Threat Stack, is the leader in cloud security and compliance for application infrastructures, helping companies securely leverage the business benefits of the cloud with proactive risk identification and high-efficacy threat detection across cloud workloads. Distributed Cloud AIP’s application infrastructure protection helps organizations improve operational efficiency by delivering full stack security observability across the cloud management console, host, container, orchestration, managed containers, and serverless layers. Distributed Cloud AIP helps organizations efficiently detect known risks at scale and quickly uncover anomalies throughout the environment.
Distributed Cloud AIP helps organizations stay secure through comprehensive security monitoring with a combination of industry-leading telemetry collection, a robust ruleset for known threats, and ThreatML for vulnerability and anomaly detection.
Security Services
Customers also have the option of leveraging our human expertise with Distributed Cloud AIP Insights and Managed Security Services, our in-house Security Operations Center (SOC) that provides 24/7/365 monitoring of your cloud environment. Through both options, Distributed Cloud AIP aims to deliver visibility and response capabilities across the full stack, allowing organizations to leverage the benefits of modern computing environments, securely. Coupled with other F5 Distributed Cloud Services, customers get application and infrastructure protection. Because applications and APIs are only as secure as the infrastructure they run on.
To learn more, visit https://www.f5.com/cloud/products/app-infrastructure-protection
Seller
F5Discussions
F5 Distributed Cloud App Infrastructure Protection (AIP) CommunityLanguages Supported
English
Product Description
F5 Distributed Cloud App Infrastructure Protection (AIP) provides continuous security monitoring for public, private, and hybrid cloud infrastructures protecting servers, and the data they access, from intrusion and data loss.
Overview by
Risa Nishimoto