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01 · Detect

Watching every system before you have to.

Sentinel learns your baseline silently for 30 days before it ever recommends a thing. Then it surfaces the five things your team should actually look at — not ten thousand they shouldn't.

30d

Silent baseline
Zero-write observe mode. Sentinel learns before it ever recommends.

10k → 5

Signals, not alerts
From ten thousand raw alerts a day to five risk-scored signals — every shift.

94%

Noise reduction
Graph-aware correlation collapses related alerts into single intelligible incidents.
Observe mode

Learn your baseline. Stay silent until it matters.

Every new Sentinel deployment ships in zero-write observe mode. For the first 30 days it reads your environment, learns your traffic shapes, your seasonality, your normal. It builds the baseline from your data — not a synthetic one.

Then, and only then, does it start scoring signals. Your security team watched it think for a month before it ever proposed an action. That's why it survives the risk committee.

  • Week 0Deploy in observe. Connect to existing sources. Zero write access.
  • Week 4Baselines stable. Sentinel starts proposing risk-scored signals.
  • Week 6+Team moves the autonomy dial up — per signal class, per risk.
autonowmy.app / sentinel / baselines
Sentinel
Baseline confidenceday 28 of 30
98%
Traffic shape
94%
Seasonality
91%
Topology
payments-gateway · 14d learned
stable
Ready
checkout-api · 14d learned
stable
Ready
fraud-scoring · 9d learned
building
14d ETA
autonowmy.app / sentinel / signals
Sentinel
Risk-scored signals · today5 of 8,492 raw events
payments-gateway latency drift
0.94
Act now
kafka-ingest consumer lag
0.81
Investigate
auth-service cert expiry · 14d
0.62
Schedule
db-replica lag drift
0.41
Watch
checkout-api scale-out (resolved)
0.18
Auto
Risk scoring

Risk-scored signals — never raw alerts.

Sentinel doesn't surface alerts. It surfaces signals — each one scored against business impact, topology blast radius, and historical severity. Five signals beats ten thousand alerts every shift.

The risk score isn't a magic number. It's the model's reasoning — exposed, replayable, defensible. Every signal comes with the why, not just the what.

  • Score0.0 → 1.0 risk score per signal, with the reasoning trace attached.
  • Blast radiusTopology-aware. Knows which downstream services depend on what.
  • HistoricalCompares against every previous incident with the same fingerprint.
Knowledge graph

Graph-aware correlation across your entire topology.

The reason five signals beats ten thousand alerts is the graph. Sentinel maintains a continuously-updated graph of your services, their dependencies, their owners, their SLOs, and their runbooks — and reasons across all of it.

When p95 jumps in three regions, Sentinel doesn't fire three alerts. It traces the dependency, finds the common upstream, and surfaces one signal with the topology attached.

  • TopologyServices, dependencies, ownership — read from your IaC and live runtime.
  • SLOsKnows what good looks like for every service, not just what's "up".
  • RunbooksLinked to the agent that knows how to act when this signal class fires.
autonowmy.app / sentinel / topology
payments auth fraud user-db fraud-v2 api-gw queue

Stop watching dashboards. Start governing the dial.

First Sentinel deployment in observe mode by week two · no commitment