Pillar 02 · Visibility & Coverage

See what you can detect — and what you can't.

Most teams with a SIEM have log collection. Visibility is knowing what those logs mean, what they're missing, and what's hiding in the gap. Three modules that document the telemetry you've onboarded, the assets you're monitoring, and the cost you can cut without losing signal.

Feature 01 · Signal Coverage

The right telemetry, with the coverage you can prove.

Aithsense maps the telemetry you've onboarded against the MITRE ATT&CK techniques each source enables. The result is a documented, queryable matrix of what you actually detect — and what you can't — tied directly to the log sources feeding it. No vendor benchmarks. No marketing numbers. Just the truth, in plain English.

  • Every technique, sub-technique, and required log source documented per hypothesis
  • Logging maturity score per source — raw → enriched → correlated
  • Gap-by-tactic view — see which kill chain stages are weak before an attacker does
  • Board-ready visual export — one slide, no jargon
MITRE Coverage Matrix
14 tactics · 300+ techniques
Detected Partial Gap
Feature 02 · Asset Monitoring Coverage

You can't protect what you can't see.

Aithsense discovers every asset across your stack — endpoints, cloud workloads, SaaS apps, identities — passively, from logs you already collect. For every asset, we tell you whether it's contributing the security telemetry it should, what's missing, and which crown-jewel systems are most exposed.

  • Cross-source discovery — endpoints, AWS, Azure, GCP, SaaS, identity providers
  • Per-asset telemetry-gap identification — "this server has no EDR", "this account has no MFA"
  • Crown-jewel tagging so risk-weighted decisions reflect your business
  • No agents, no active scans — passive discovery from the log streams already feeding your SIEM
Asset Inventory · live
2,074 assets
Endpoints
87298% covered
Cloud workloads
53462% covered
SaaS apps
18791% covered
Identities
45678% covered
No EDR · servers
25blind spot
Feature 03 · Signal Optimisation

Lower SIEM bill. Same visibility.

SIEM pricing scales with ingestion volume. Most of that volume is noise — verbose events nobody hunts on, flow records with no analytical value, debug logs nobody reads. Our entity field matrix tells you exactly which fields are mandatory for detection, which are contextual, and which are safe to drop at source.

  • Mandatory · contextual · optional classification for every field, every entity type
  • No-detection-value identification — see exactly what to drop
  • Drop-at-source recommendations preserving every hunting hypothesis
  • Concrete cost-reduction case — coverage stays the same, bill goes down
Before · After
illustrative
Before · raw ingestion$$$
Noise
Context
Signal
After · optimised$
Context
Signal

Map your visibility in 30 minutes.

Connect us to your SIEM. We produce a visual report showing which sources you fully have, partially have, or are missing — and where you're paying to ingest telemetry that earns its keep nowhere.