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← Platform Overview

🔭 Product Overview

Tier 1 · Public
🧠

Behavioral Anomaly Engine

ELARA's primary detection layer. Monitors 24 distinct behavioral signals per identity, building a rolling personal baseline and scoring any deviation in real time.

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🔗

Identity Chain Analysis

Tracks identity continuity across sessions, devices, and access points. Flags account takeover patterns by detecting chain breaks that no single event would reveal.

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📊

Session Risk Profiling

Every session receives a composite risk score at open and continuously throughout its lifetime. Score updates trigger automated or advisory responses based on configured thresholds.

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🔑

Credential Threat Detection

Detects credential stuffing, brute-force patterns, shared-credential misuse, and compromised account signals — without requiring password visibility.

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📱

Device Fingerprint Correlation

Scores hardware and software fingerprint consistency across sessions. Detects emulators, cloned devices, and mid-session device substitution attacks.

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🌍

Geolocation Risk Intelligence

Impossible travel detection, VPN/proxy/Tor identification, and location-velocity scoring. Correlates with known threat origin data to amplify signal strength.

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Score Architecture

ELARA produces a 0–100 composite risk score derived from all active signals. Score components are individually weighted, logged, and fully explainable for audit.

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⚖️

Signal Weighting & Calibration

Each 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.

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🎛️

Threshold & Response Configuration

Operators configure score thresholds for advisory alerts, step-up authentication triggers, and automated session termination. Zero-code policy configuration.

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🔍

Explainability & Audit Trail

Every 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.

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🔄

Continuous Calibration

ELARA detects model drift and recalibrates baselines as user behavior evolves. No manual retraining cycles. Calibration is continuous, silent, and auditable.

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🏛️

NIST 800-53 Mapping

ELARA signals map directly to AC, AU, IA, IR, and SI control families. Pre-built evidence packages accelerate FedRAMP and FISMA documentation cycles.

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🏥

HIPAA Controls

Covers access control, audit controls, person or entity authentication, and transmission security safeguards. Native alignment with §164.312 technical safeguards.

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💳

PCI DSS Alignment

Addresses Requirements 7, 8, and 10 — access control, identity management, and logging. ELARA's session risk scoring directly supports cardholder data environment protection.

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SOC 2 Coverage

Maps to CC6 (Logical & Physical Access) and CC7 (System Operations) trust service criteria. ELARA's audit trail supports Type I and Type II evidence collection.

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🌐

ISO 27001 Alignment

Covers 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.

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🇪🇺

GDPR & CCPA Controls

ELARA processes behavioral signals without storing raw biometric identifiers. Data minimization and purpose limitation are enforced at the architecture level, not by policy alone.

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🏗️

System Architecture Overview

Cloud-native, API-first design. ELARA is deployed as a set of stateless microservices behind a unified scoring API. No agent installation. No endpoint footprint.

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🔒

Data Flow & Privacy Model

All 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.

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🔌

API Surface & Integration

Single 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.

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☁️

Deployment Models

Fully managed cloud (Azure), hybrid (customer VNet injection), and air-gapped on-premises deployments available. Multi-tenant and dedicated tenant configurations supported.

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🆚

ELARA vs. Legacy IAM

Legacy 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.

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🆚

ELARA vs. UEBA Products

Traditional 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.

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🆚

ELARA vs. SIEM Rules

SIEM 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.

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🏅

Patent-Protected Advantage

ELARA'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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ELARA™ is a trademark of ELARA AI Technologies. Patent Pending.