Behavioral Baselines & Anomaly Detection
Establish normal patterns for every non-human identity, API key, and service account. When behavior deviates — unusual hours, authentication spikes, new IP ranges, or scope escalation — Netallion AI Assurance alerts before the anomaly becomes a breach.
Static Rules Miss Evolving Threats
Signature-based detection catches known patterns. But when a legitimate service account is compromised and used within its normal permissions — just at unusual times or volumes — only behavioral analysis catches it.
78%
Of breaches involve NHI misuse
45 days
Avg dwell time for NHI compromise
14 days
To establish baseline
6
Anomaly detection types
How Behavioral Baselines Work
Learning, baselining, and continuous monitoring in a fully automated pipeline.
6 Anomaly Detection Types
Unusual Access Hours
HighA service principal that normally operates 9-5 UTC starts making API calls at 3 AM. The baseline flags this as a 4-sigma deviation from normal operating window.
Authentication Spike
CriticalFailed authentication attempts for a managed identity jump from a baseline of 2/day to 200/hour. Indicates credential stuffing or a misconfigured rotation.
New IP Range
HighAn API key that has only been used from 10.0.0.0/8 suddenly appears from a public cloud IP in a different region. Geographic or network drift detected.
Scope Escalation
CriticalA token that historically accessed 3 repositories now requests access to 47. The baseline detects resource scope expansion beyond the established norm.
Volume Anomaly
HighAPI call volume for a service account jumps 10x above baseline in a 15-minute window. Could indicate data exfiltration or a runaway automation.
New Resource Access
MediumA non-human identity accesses a database or storage account it has never touched before. First-access events are flagged against the approved resource list.
Built for NHI Security
Per-Identity Profiles
Every service principal, managed identity, and API key gets its own behavioral profile. No one-size-fits-all thresholds.
Adaptive Baselines
Baselines evolve with legitimate changes. Approved scope expansions and new deployments are absorbed into the baseline after review.
Time-Window Analysis
Detect anomalies at multiple time scales: per-minute spikes, hourly trends, daily patterns, and weekly cycles.
Alert Correlation
Multiple anomalies on the same identity are correlated into a single incident. Unusual hours + new IP + scope expansion = high-confidence compromise.
NHI-Native Behavioral Analytics
| Capability | Netallion AI Assurance | SIEM / UEBA | CSPM |
|---|---|---|---|
| NHI-specific baselines | — | — | |
| Per-identity profiles | — | ||
| Scope escalation detection | — | ||
| Time-window analysis | — | ||
| API call volume anomalies | — | ||
| IP range drift | — | ||
| Alert correlation | — | ||
| Adaptive baselines | — | — |
Catch What Rules Cannot
Behavioral baselines detect the threats that signature-based tools miss. Start your 14-day Business trial.