AI TOOL PROFILE
Sentrilite: Cloud Cost Intelligence and Threat Detection
- Operations
- Security Monitoring
- Mid-Market Companies
- Enterprise Companies
- Security teams
- Compliance auditors
- Cloud operations managers
Pricing
Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
At a glance
- Best for
- Mid-Market Companies, Enterprise Companies, Security teams, Compliance auditors, Cloud operations managers
- Key use cases
- Cloud Cost Optimization, Runtime Security Monitoring, Compliance Auditing, Infrastructure Hardening
- Official website
- Visit Sentrilite official website
How AI is used
Sentrilite is a platform designed for cloud cost intelligence and security monitoring. It operates at the kernel level to provide visibility into network egress and system behavior across AWS, GCP, and Azure, as well as on-premise and bare metal environments.
The tool supports security teams and compliance auditors by monitoring system calls, file access, and network connections to help identify threats. It is built for companies managing hybrid-cloud or Kubernetes workloads.
Beyond security, the platform provides cost intelligence reports that attribute cloud spend to specific services without requiring manual resource tagging. It also includes vulnerability assessment tools that scan for misconfigurations in Linux servers and clusters.
Buyers should confirm if their specific compliance requirements are met by the generated reports and verify that their environment supports the privileged access required for the Docker agent or Kubernetes DaemonSet deployment.
Key Features
Tagless Service-Level Attribution
Attributes cloud egress and compute costs to specific services and endpoints without requiring manual cost allocation tags.
Kernel-Level Threat Detection
Monitors system calls, file access events, and network connections in real time to detect malicious behavior.
Vulnerability Assessment
Scans Linux servers and Kubernetes clusters for misconfigurations in authentication, firewall settings, and kernel parameters.
Multi-Cloud Visibility
Provides a view of infrastructure and costs across AWS, GCP, Azure, and on-premise environments.
Automated Response
Supports the ability to automatically terminate high-risk processes based on behavioral risk scoring.
AI-Powered Insights
Provides insights within the centralized cluster dashboard to help identify critical incidents.
Use Cases
Cloud Cost Optimization
Identifying cross-region data transfers and over-provisioned Kubernetes pods to help reduce unnecessary spend.
Runtime Security Monitoring
Using kernel-level telemetry to detect and block threats or unauthorized processes in real time.
Compliance Auditing
Generating structured reports on system vulnerabilities and security responses for regulatory review.
Infrastructure Hardening
Scanning for SSH misconfigurations, open ports, and file permissions across a Linux fleet.
FAQ
Does Sentrilite require manual tagging for cloud cost reporting?
- No, Sentrilite uses tagless attribution by observing service calls at the kernel level, which removes the need for cost allocation tags.
What environments does Sentrilite support?
- It supports AWS, GCP, Azure, on-premise bare metal, and VMs, including Kubernetes clusters such as EKS, AKS, and GKE.
How is Sentrilite deployed?
- It can be installed as a Kubernetes DaemonSet or as a Docker agent on Linux hosts.
Source category: Operations
Source subcategory: Security Monitoring
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