Calibrated against alert fatigue, not alert volume
Identera is designed to surface findings that security analysts will validate as operationally meaningful — not to maximize the number of alerts generated. During an initial baseline stabilization period, typically 2 to 4 weeks, the platform learns each identity's behavioral characteristics before surfacing any findings at all.
Design target: anomalies validated as operationally meaningful by security analysts, measured empirically during the baseline phase.
Design target: the detection quality threshold Identera is calibrated to achieve, and the basis on which the Signal Validation Engagement is measured.
Normal operational variation is understood before anomalies are flagged — the baseline period exists specifically so early findings reflect genuine drift, not the ordinary noise of an environment the platform hasn't learned yet.
Behavioral modeling of
directory telemetry, built as a primary analytical domain — not one signal among many.
Identera surfaces credentialed identity drift by longitudinally modeling how identities actually behave within Active Directory and LDAP environments, establishing a dynamic baseline and measuring divergence from it over time.
Identity telemetry deserves to be a primary domain, not an input.
Generic UEBA platforms aggregate signals across endpoints, networks, and applications — identity is one input diluted among many. Identera is built on a different architectural premise: directory telemetry alone carries enough signal to model identity behavior with real precision, if it's given the analytical depth to do so.
By focusing exclusively on directory telemetry, the platform develops behavioral models specific enough to detect gradual drift that broader, shallower tools are not built to see.
- Active Directory Event Logs
- LDAP Query Patterns
- Authentication Sequences
- Group Membership Histories
How Identera characterizes identity behavior
These four dimensions collectively describe how credentials actually operate within financial infrastructure — not what they're permitted to do, but what they consistently do.
01
Authentication Behavior
Bind frequency and timing relative to historical baseline; host affinity patterns; cross-environment authentication; time-of-day deviations. Changes here are often the first signal of operational drift.
02
Directory Search & Enumeration
LDAP filter complexity, attribute access scope, organizational unit traversal patterns, and enumeration frequency. Expanding directory search behavior frequently precedes privilege misuse.
03
Privilege & Delegation Evolution
Group nesting changes over time, delegation chain growth, temporary privilege persistence, and administrative surface expansion — structural changes that accumulate silently in most environments.
04
Service Account Behavior
Host execution patterns relative to provisioned scope, authentication bursts, cross-system reuse, and automation expansion beyond baseline parameters — among the least-governed identity surfaces in financial infrastructure.
Detecting trajectories, not events
The distinguishing characteristic of the Identera approach is longitudinal orientation. Rather than evaluating whether a single event is anomalous against a static rule, the platform models how each identity's behavioral profile evolves over time — establishing a dynamic baseline and measuring divergence from it.
No single change is necessarily suspicious. The accumulated trajectory is what reveals risk.
Example — service account, 6 months
What drift actually looks like
Three patterns Identera is built to surface — each one legitimate on its face, valid on every
individual check, and invisible to point-in-time review.
The Persistent Administrator
A senior engineer at a regional bank is granted temporary Domain Admin rights during a core banking platform migration. The migration completes successfully. Three months later, that admin access remains active — the offboarding step was missed in the project close-out.
The account continues to authenticate normally. No rules are violated. No alerts fire. But the privilege profile of a user now performing routine application support work still includes administrative access to core banking infrastructure.
Identera surfaces this as a privilege persistence anomaly — a measurable divergence between the account's current group membership and its established behavioral baseline, combined with authentication patterns that no longer match the privilege level the account carries.
The Expanding Service Account
A payment processing fintech provisions a service account to authenticate against two infrastructure hosts — an API gateway and a database server. Over 18 months, as the platform scales, engineers incrementally configure the account to authenticate against four additional hosts. Each individual change is authorized in isolation.
No single change triggers a rule. No access review captures the full trajectory. The account's authentication scope is now three times its originally provisioned baseline.
Identera surfaces this as a host-execution drift pattern — progressive divergence from the account's established authentication scope, with each incremental expansion contributing to a measurable behavioral delta.
The Quiet Directory Explorer
An employee in a back-office operational role begins performing LDAP queries against the directory that are progressively broader in scope than their historical pattern — attributes and organizational units outside their normal operational context. The account is legitimate. The credentials are valid. Every query succeeds.
In an environment without directory-specific behavioral modeling, this activity is invisible — it matches no known attack signature and violates no defined rule. But the trajectory of expanding enumeration scope over weeks is a recognized precursor pattern to both insider misuse and reconnaissance by a compromised credential.
Identera surfaces this as a directory enumeration anomaly — a statistically significant expansion in query complexity and attribute access scope relative to the account's established baseline.
What drift actually looks like
Three patterns Identera is built to surface — each one legitimate on its face, valid on every
individual check, and invisible to point-in-time review.
The Persistent Administrator
A senior engineer at a regional bank is granted temporary Domain Admin rights during a core banking platform migration. The migration completes successfully. Three months later, that admin access remains active — the offboarding step was missed in the project close-out.
The account continues to authenticate normally. No rules are violated. No alerts fire. But the privilege profile of a user now performing routine application support work still includes administrative access to core banking infrastructure.
Identera surfaces this as a privilege persistence anomaly — a measurable divergence between the account's current group membership and its established behavioral baseline, combined with authentication patterns that no longer match the privilege level the account carries.
The Expanding Service Account
A payment processing fintech provisions a service account to authenticate against two infrastructure hosts — an API gateway and a database server. Over 18 months, as the platform scales, engineers incrementally configure the account to authenticate against four additional hosts. Each individual change is authorized in isolation.
No single change triggers a rule. No access review captures the full trajectory. The account's authentication scope is now three times its originally provisioned baseline.
Identera surfaces this as a host-execution drift pattern — progressive divergence from the account's established authentication scope, with each incremental expansion contributing to a measurable behavioral delta.
The Quiet Directory Explorer
An employee in a back-office operational role begins performing LDAP queries against the directory that are progressively broader in scope than their historical pattern — attributes and organizational units outside their normal operational context. The account is legitimate. The credentials are valid. Every query succeeds.
In an environment without directory-specific behavioral modeling, this activity is invisible — it matches no known attack signature and violates no defined rule. But the trajectory of expanding enumeration scope over weeks is a recognized precursor pattern to both insider misuse and reconnaissance by a compromised credential.
Identera surfaces this as a directory enumeration anomaly — a statistically significant expansion in query complexity and attribute access scope relative to the account's established baseline.
Identera ingests identity telemetry from existing log sources and applies behavioral modeling as a separate analytical layer — it does not require agents, modify directory configuration, or introduce operational dependencies.
No single change is necessarily suspicious. The accumulated trajectory is what reveals risk.
Telemetry Sources
Active Directory event logs, LDAP server logs, SIEM log pipelines, and identity infrastructure telemetry.
No Infrastructure Changes
No kernel agents, no directory modification, no operational dependencies — compatible with hybrid cloud and on-premises environments.
Complements Existing Stack
Augments — does not replace — SIEM, Defender for Identity, and existing UEBA investments, adding depth specifically at the identity control-plane layer.
Identera is deliberately focused today. The roadmap below reflects where that focus expands next — and where it doesn't, yet.
Directory-native behavioral
modeling
Longitudinal analysis of Active Directory and LDAP telemetry — authentication, enumeration, privilege evolution, and service account behavior. No agents, no kernel access, no changes to directory infrastructure.
Cross signal correlation
Extending the same behavioral baseline model to ingest SaaS, SIEM, and Entra ID telemetry alongside directory data — connecting identity behavior across the full authentication surface, not just on-premises directory activity. Same deployment model: log and API ingestion, no new infrastructure footprint.
Expanded Telemetry
Sources
Longer-term exploration of deeper system-level telemetry to extend behavioral visibility further. Any future direction here will be evaluated against the same standard the platform holds today: no meaningful increase to your environment's attack surface.
The Signal Validation Engagement
A structured 30-day engagement designed to produce a measurable, evidence-based answer to one specific question: does behavioral modeling of directory telemetry surface identity risk that your existing controls do not detect?
Phase 1 — Weeks 1–2
Log Ingestion
Directory telemetry is collected and baseline behavioral models are initialized. No findings are surfaced during this period.
Phase 2
Behavioral Modeling
Identity baseline models stabilize. Anomaly detection is calibrated against your specific environment.
Phase 3
Executive Signal Report
Comprehensive findings delivered — total anomalies surfaced, detection overlap with existing tools, analyst-validated findings, privilege drift analysis, and service account risk indicators.
The objective is not to sell a product. It is to determine, empirically and within your specific environment, whether this detection approach produces signal that justifies further investment. The findings report provides that evidence regardless of what the evaluation concludes.
See what your existing controls
aren't showing you.
Start with a Signal Validation Engagement — a defined, evidence-
based answer, not a sales process.