Purpose-Built for AI. Powered by Real-Time Behavioral Intelligence.
Behavure delivers streaming observability that goes beyond logs and metrics-offering unified insights into how users, agents, and models behave in real time. Explore how it solves today's most pressing AI and system monitoring challenges.
Why Behavure?
Lower Cost Architecture
Reduces observability spend by up to 60% while improving signal clarity
Real-Time Correlation
Correlates events in-stream without requiring centralized indexing
No Indexing Required
Eliminates the need for expensive centralized log storage
Edge-Level Control
Route, redact, and enforce policies before data spreads
Traditional Platforms
- Centralized indexing required
- High-volume, low-value telemetry
- Delayed insights and batch processing
- Expensive storage and licensing
Behavure Platform
- No indexing tax: Real-time correlation without central log storage
- Edge-level control: Route, redact, and enforce policies before data spreads
- Streaming native: Built for the velocity and complexity of AI systems
- Unified behavioral intelligence across your entire AI ecosystem
Use Cases
Behavure AI empowers enterprises with a next-generation Machine Data Engine that delivers real-time behavioral observability and intelligent event correlation, so teams can control costs, tame operational noise, and maintain human-in-the-loop governance at AI scale.
Observability Cost Reduction
Stop overpaying to store noise
Key Benefits
- Filters high-volume, low-value telemetry before it hits your SIEM or lakehouse
- Streams enriched, context-aware events-no indexing required
- Cuts observability spend by up to 60% while improving signal clarity
Problem
Legacy observability platforms rely on centralized indexing and flood downstream systems with high-volume, low-value telemetry.
Solution
Filters and routes only high-value telemetry at the edge. Correlates and enriches behavioral data in-stream-no indexing required. Minimizes data ingestion volumes while maximizing visibility.
SIEM Optimization
Send less. Detect more.
Key Benefits
- Delivers real-time, behavioral-rich signals tailored for threat detection
- Reduces rule sprawl by correlating events upstream
- Lowers ingestion volumes by 30-70%, saving on SIEM licensing and noise
Problem
SIEM platforms are inundated with unfiltered telemetry, driving up cost and reducing detection accuracy.
Solution
Delivers enriched, context-aware behavioral events directly to SIEMs. Reduces dependence on static rules and rigid schemas. Keeps ingestion volumes low by applying edge-level intelligence.
AI Risk & Compliance
Real-time auditability, zero indexing required.
Key Benefits
- Applies governance and privacy controls at the edge
- Flags hallucinations, unsafe outputs, or policy violations in real time
- Enables live compliance visibility with full behavioral lineage
Problem
Ensuring AI accountability and governance is costly, slow, and incomplete with legacy tooling.
Solution
Applies governance rules, redaction, and policy enforcement at the source. Scores behavioral risk and flags compliance violations as events unfold. Provides audit-ready lineage without requiring centralized log indexing.
Fraud Detection
Expose synthetic behavior and AI-powered threats.
Key Benefits
- Detects real-time intent drift, prompt manipulation, and agent abuse
- Scores user-agent behavior to spot risk patterns before they're exploited
- Reduces loss and investigation time by correlating what traditional rules miss
Problem
Traditional fraud tools can't detect AI-driven manipulation, impersonation, or synthetic behavior across human-machine workflows.
Solution
Captures and analyzes behavioral anomalies at the session level. Scores and correlates user, agent, and model intent in-stream. Flags emerging threats earlier without relying on brittle rules.
Real-Time Behavioral Event Correlation
Explain every decision. As it happens.
Key Benefits
- Correlates prompts, actions, outputs, and system events into unified behavioral flows
- Connects signals across UI, voice, API, and agents
- Enables RCA and model auditing without rehydrating logs
Problem
Fragmented logs and delayed analytics hinder understanding of AI decisions and user-agent interactions.
Solution
Correlates full behavioral journeys in real time-from user input to model response. Bridges gaps across voice, UI, API, and agent telemetry. Eliminates the need for slow, centralized post-processing.
Operational Event Intelligence
Operational visibility, without the batch delay.
Key Benefits
- Streams telemetry from AI agents, applications, and edge systems in real time
- Flags anomalies, friction, and performance drops before users notice
- Improves uptime and incident response without index-heavy dashboards
Problem
Enterprises struggle to detect AI performance issues and behavioral anomalies before they impact users.
Solution
Streams high-fidelity telemetry from agents, models, and edge environments. Detects friction, performance drops, and usage anomalies in real time. Avoids the lag and overhead of batch monitoring systems.
Tool Sprawl Reduction
Less duplication. More clarity. Lower cost.
Key Benefits
- Unifies fragmented tools by correlating events across silos and systems
- Replaces point solutions with a single, behavioral observability layer
- Cuts alert fatigue, tool overhead, and integration complexity
Problem
Enterprises are overwhelmed by fragmented observability stacks-each tool capturing slices of telemetry, leading to data duplication, integration overhead, and rising costs.
Solution
Correlates events across sources and silos into unified behavioral flows. Eliminates redundant tooling by providing a single, real-time stream of enriched context. Reduces alert fatigue and tooling overlap by showing what matters most.
Ready to Rethink Your Observability Stack?
Let us show you how Behavure can deliver real-time AI visibility-without the cost or complexity of traditional observability.
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