At Sentrilite, we’re building a new kind of cybersecurity platform — one that treats security as a product of observability, not just an afterthought of logs and alerts. In a world where modern infrastructure is increasingly ephemeral, cloud-native, and developer-driven, we believe security must be deeply integrated, low-overhead, and intelligent from the inside out.
Our platform combines eBPF-based system tracing, AI-assisted decisioning, and a rule-driven response engine to deliver an enterprise-grade EDR/XDR solution tailored for Linux environments.
Traditional endpoint detection and response (EDR) systems rely on agents that hook into user-space events, collect logs, and attempt to correlate them post-facto. This often results in:
Sentrilite approaches this differently: we observe the system continuously at the kernel level using eBPF (extended Berkeley Packet Filter) — a technology that allows safe, high-performance execution of bytecode within the Linux kernel.
We trace syscalls like execve(), connect(), accept(), and file reads/writes, while also monitoring network activity, socket behavior, and process trees. This gives us deep, real-time observability without installing bulky agents or compromising performance.
We’ve built an intuitive rule engine that allows users to define what behavior they want to monitor, flag, or block. Rules can match on:
With just a click, you can enforce rules across the entire cluster — making it easy to block a rogue process, alert on a suspicious connection, or isolate an intruder trying to access sensitive files.
All of this is backed by live streaming of system events, so actions are taken within milliseconds of detection.
What sets Sentrilite apart is our integration of LLM (Large Language Model) analysis into the alerting and decision-making workflow. Instead of bombarding users with low-level logs, we summarize activity into human-readable incident reports, tagging potential threats with context such as:
We also use LLMs to correlate system activity, helping detect lateral movement or multi-step attacks that evade traditional signature-based systems.
Over time, the platform learns from user decisions and feedback — making it smarter, more focused, and less noisy.
At the heart of Sentrilite is a centralized dashboard designed for security teams, SREs, and DevSecOps engineers. From here, you can:
We also support WebSocket streaming, enabling near-zero-latency UI updates and supporting integrations into third-party systems like SIEMs, Slack, or ticketing tools.
Sentrilite is designed for:
The platform is lightweight, extensible, and does not require kernel modules or rebooting. It runs in both EC2 and on-prem environments, and respects isolation boundaries while offering cluster-wide policy enforcement.
Sentrilite is not just an observability platform or an endpoint monitor — it’s an evolving defense layer that leverages low-level system telemetry + AI reasoning to detect and respond faster than human operators ever could.
We’re exploring:
If you're building infrastructure at scale or securing production Linux workloads, Sentrilite offers a powerful, intelligent layer of defense that’s transparent, composable, and developer-first.
We’re onboarding early users and welcome feedback from the security, DevOps, and AI communities.