ELARA's primary detection layer. Monitors 24 distinct behavioral signals per identity, building a rolling personal baseline and scoring any deviation in real time.
1 / 25Tracks identity continuity across sessions, devices, and access points. Flags account takeover patterns by detecting chain breaks that no single event would reveal.
2 / 25Every session receives a composite risk score at open and continuously throughout its lifetime. Score updates trigger automated or advisory responses based on configured thresholds.
3 / 25Detects credential stuffing, brute-force patterns, shared-credential misuse, and compromised account signals — without requiring password visibility.
4 / 25Scores hardware and software fingerprint consistency across sessions. Detects emulators, cloned devices, and mid-session device substitution attacks.
5 / 25Impossible travel detection, VPN/proxy/Tor identification, and location-velocity scoring. Correlates with known threat origin data to amplify signal strength.
6 / 25ELARA produces a 0–100 composite risk score derived from all active signals. Score components are individually weighted, logged, and fully explainable for audit.
7 / 25Each of the 24 detection signals carries a dynamic weight adjusted by sector, deployment tier, and threat environment. Weights are tunable per client without model retraining.
8 / 25Operators configure score thresholds for advisory alerts, step-up authentication triggers, and automated session termination. Zero-code policy configuration.
9 / 25Every risk score decision is backed by a complete evidence chain. Each contributing signal is logged with its value, weight, and firing condition — queryable in real time.
10 / 25ELARA detects model drift and recalibrates baselines as user behavior evolves. No manual retraining cycles. Calibration is continuous, silent, and auditable.
11 / 25ELARA signals map directly to AC, AU, IA, IR, and SI control families. Pre-built evidence packages accelerate FedRAMP and FISMA documentation cycles.
12 / 25Covers access control, audit controls, person or entity authentication, and transmission security safeguards. Native alignment with §164.312 technical safeguards.
13 / 25Addresses Requirements 7, 8, and 10 — access control, identity management, and logging. ELARA's session risk scoring directly supports cardholder data environment protection.
14 / 25Maps to CC6 (Logical & Physical Access) and CC7 (System Operations) trust service criteria. ELARA's audit trail supports Type I and Type II evidence collection.
15 / 25Covers Annex A controls A.9 (access control), A.12 (operations security), and A.16 (incident management). Pre-mapped control evidence reduces audit preparation time significantly.
16 / 25ELARA processes behavioral signals without storing raw biometric identifiers. Data minimization and purpose limitation are enforced at the architecture level, not by policy alone.
17 / 25Cloud-native, API-first design. ELARA is deployed as a set of stateless microservices behind a unified scoring API. No agent installation. No endpoint footprint.
18 / 25All identity signals are processed in-memory and scored ephemerally. No raw behavioral data persists beyond the scoring window. Encrypted in transit and at rest throughout.
19 / 25Single REST endpoint for risk score requests. Webhook support for threshold events. SDK wrappers for Python, Node.js, and C#. Average integration time under four hours.
20 / 25Fully managed cloud (Azure), hybrid (customer VNet injection), and air-gapped on-premises deployments available. Multi-tenant and dedicated tenant configurations supported.
21 / 25Legacy IAM authenticates once at login. ELARA scores continuously throughout the session. ELARA does not replace IAM — it extends it with a real-time behavioral risk layer that IAM cannot provide.
22 / 25Traditional UEBA produces alerts after analysis cycles that can take hours. ELARA scores in milliseconds, per session, at the transaction level — enabling real-time automated response rather than post-incident review.
23 / 25SIEM rules catch known patterns. ELARA's behavioral baseline catches anomalies with no prior signature. A first-time attack pattern ELARA has never seen will still score as high-risk if the behavior deviates from that identity's personal baseline.
24 / 25ELARA's core identity risk scoring methodology is protected by a granted United States patent. The AI behavioral baseline architecture is the proprietary IP of ELARA AI Technologies LLC.
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