Detect at the Source. Miss Nothing.
Detection engineering keeps investing in the last mile — faster rule authoring — while coverage still lags. The real gap is upstream: unstable, fragmented telemetry that no rule can reliably stand on.
Detection at the Point of Collection
AxoDetect evaluates content the moment telemetry lands, wherever it lands — SIEM, lake, or cloud storage — so adding a source is a decision about signal, not a wait for budget or a downstream index.
Open, Portable Detection Logic
Built on Sigma rules and open community content, not a proprietary format. Author once against normalized data, and the same logic runs anywhere it's deployed.
Coverage You Can Trust
Coverage is measured against both attacker technique and data health, so a broken source shows up as a visible gap on the matrix instead of silent, undetected drift.
Detection Goes to the Data, Not the Other Way Around
AxoDetect meets telemetry where it already lives — SIEM, lake, or cloud storage — so detection happens immediately, and onboarding a new source is a decision about signal rather than about budget.
Rules Written Against Stable Ground
Axoflow relies on Sigma rules and open community detection content rather than a proprietary format. Normalize first, then author against that shape — so a parser update becomes a pipeline event instead of a silent coverage loss.
Fragile Means Untested — Testing Is the Fix
Both attacker behavior and the telemetry describing it move over time. A rule is a hypothesis about both, so it should be testable against real sample data and versioned like code — making a change routine rather than something nobody wants to touch.
Coverage Is a Data Question Before It's a Rule Question
A technique is only covered if a rule exists and the data feeding it is arriving in the shape that rule expects. Coverage should be measured against both, so a broken source shows up as a gap on the matrix rather than as silence.
