Sentrilite

Sentrilite: Hybrid-Cloud Observability & Security
Posted on September 15, 2025 by Admin

Demo: Sentrilite for Hybrid Multi-Cloud Visibility & Security

In this demo, we'll show how Sentrilite monitors a hybrid multi-cloud environment end-to-end: we'll watch live telemetry, add high-risk rules across the fleet, and export an audit-ready PDF summary—all from a single dashboard.

1) Fast onboarding via CSV upload

We begin on the Sentrilite main dashboard by uploading a simple CSV that lists your nodes across AWS, Azure, GCP, and on-prem clusters. The file uses two columns—ServerIP and Group—where ServerIP is the node's IP address, and Group is a label (e.g., aws, azure, gcp, private) used to target rules to specific subsets of machines.

2) One-command deploy on Amazon EKS

Next, we deploy the Sentrilite agent to an Amazon EKS cluster with a single command: kubectl apply -f sentrilite.yaml. Kubernetes schedules one Sentrilite agent per node as a DaemonSet and automatically pulls the container image from our Docker registry.

3) High-risk rules that hot-reload

Back on the main dashboard, we add high-risk rules for the aws group (and on-prem, if desired). For example, flag any command containing netcat or nc as risk level 1 to catch suspicious outbound activity. Rules hot-reload—no restarts required.

4) Fleet health: OOMKilled detection

Sentrilite also watches cluster health. If any container in your fleet is OOMKilled, the agent emits a targeted alert linked to the exact pod/container/process, speeding up triage.

5) Export an audit-ready PDF

To wrap up, we generate the PDF report with the Download PDF Report button. The report includes a chronological list of high-risk findings with detailed summaries, rule tags, and full Kubernetes context—making it easy to triage and diagnose issues.

Why Sentrilite

That's Sentrilite for hybrid multi-cloud infrastructure: a seamless one-command deploy, live kernel-level telemetry enriched with Kubernetes metadata, rule-based risk scoring, and an audit-ready PDF—delivered in minutes. With Sentrilite, you can manage and monitor AWS, Azure, GCP, and on-prem Kubernetes clusters for true hybrid, multi-cloud coverage from a single, unified dashboard.

Sentrilite: Redefining EDR/XDR Through Observability
Posted on June 1, 2025 by Admin

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.

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.

Security Powered by Observability

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. Sentrilite approaches this differently: we observe the system continuously at the kernel level using eBPF.

Custom Rule Engine for Actionable Defense

We've built an intuitive rule engine that allows users to define what behavior they want to monitor, flag, or block.

LLM-Augmented Risk Assessment

What sets Sentrilite apart is our integration of LLM analysis into the alerting and decision-making workflow.

Deep Dive into eBPF Technology
Posted on June 15, 2025 by Admin

What is eBPF?

eBPF (extended Berkeley Packet Filter) is a Linux kernel technology that lets you run tiny, sandboxed programs inside the kernel safely, without writing or loading custom kernel modules.

Why it matters

  • Safety: a verifier analyzes programs before load to ensure memory-safety
  • Performance: running close to the event source avoids expensive context switches
  • Flexibility: dynamic attach/detach, no kernel rebuilds

Core building blocks

  • Programs: compiled bytecode executed at kernel hooks
  • Maps: kernel-resident key/value stores for metrics and state
  • Helpers: kernel-provided functions to read context and access maps
  • Verifier: statically checks safety and resource bounds
Automating Security with AI
Posted on July 20, 2025 by Admin

TL;DR — AI turns noisy telemetry into ranked, explainable alerts and can safely automate routine responses. Start small (enrichment + triage), add human-in-the-loop approvals, then graduate to auto-containment for well-understood threats.

Why automate now

Modern environments generate more signals than humans can triage. Attackers iterate faster than rulebooks, while teams are asked to do more with less. Applied well, AI shrinks MTTD and MTTR by:

  • Enriching raw events with context (who/what/where/why)
  • Prioritizing risk so analysts focus on the few things that matter
  • Executing low-risk, well-defined responses in seconds

How Sentrilite does it

Sentrilite collects syscall-level events via lightweight kernel instrumentation and streams them to your dashboard in real time. AI analyzes sequences and assigns a risk level with plain-English explanations.