Cross-platform runtime telemetry and low-level security observability platform focused on process behavior, syscall tracing, and policy-driven detection.
Kernel Sentinel is a systems-heavy security project built to demonstrate competence in operating-system-adjacent engineering, high-volume telemetry pipelines, low-overhead event collection, and investigation-friendly trace modeling. It is intentionally positioned far below the application layer to show depth that most portfolios never reach.
Application logs are often too late, too incomplete, or too easy to bypass.
Many high-value detection and observability problems require visibility into:
- process lineage
- file activity
- network behavior
- privilege transitions
- unexpected execution paths
- runtime anomalies
Kernel Sentinel exists to model that problem as a performance-sensitive systems challenge rather than as a dashboard exercise.
- low-level systems engineering
- runtime security thinking
- event pipeline design
- policy engine design
- observability under overhead constraints
- forensic and analyst workflow awareness
- syscall or runtime event capture
- process and resource lineage modeling
- normalized trace schema
- policy-aware filtering
- anomaly and rule-based detection primitives
- investigation timelines and export surfaces
- performance and overhead benchmarking
probe layer
|
v
collector
|
v
normalization + correlation
|
+--> policy engine
+--> investigation views
+--> trace export and storage
This project creates very strong signal for operating systems, infrastructure, runtime security, performance, and deeply technical backend roles. It shows comfort with the kinds of constraints that elite systems teams care about.
- Rust for collectors and policy runtime
- C or eBPF tooling for probe layer
- TypeScript or Python for operator tools and analysis
docs/architecture.md
Apache-2.0