Agentic Endpoint Intelligence

Brainstorm EdgeAn AI That Actually Learns

Not just AI-powered - AI that evolves. Every decision recorded, every outcome tracked, every pattern refined. Specialized agents for network, security, and data protection. Tiered approval keeps humans in control.

4616+
Tests Passing
3
Specialized Agents
1024d
Embedding Dimensions
SHA-256
Evidence Signing
The OODA+V Loop

How Claude Reasons About Your Endpoints

Military-grade decision framework with added verification. Every cycle produces compliance-grade evidence.

O

Observe

Deep endpoint visibility through osquery integration

Access 300+ osquery tables for comprehensive system state: processes, network connections, installed software, security configurations.

O

Orient

Claude analyzes context and identifies issues

AI reasoning correlates observations with security baselines, compliance requirements, and known remediation patterns from the Learning System.

D

Decide

Generate remediation plan with risk assessment

Each proposed action is classified by risk tier. 85%+ confidence auto-executes low-risk; higher tiers queue for human approval.

A

Act

Execute with cryptographic evidence chain

Every action produces SHA-256 signed evidence: pre-state snapshot, command executed, post-state verification.

V

Verify

Confirm fix and learn from outcome

Post-action validation confirms success. Outcomes feed the Learning System - successful patterns become reusable skills.

Learning Loop - Phase 3.5

An AI That Actually Learns

Every decision gets recorded. Every outcome feeds back. The brain reflects and evolves. Not framework stubs - real intelligence that gets smarter over time.

The Complete Learning Cycle

Decision

Every action recorded with 1024d semantic embedding

Recall

Similar past decisions found before acting

Outcome

Success or failure linked to decision

Adjust

Pattern confidence updated based on results

Reflect

Self-reflection every 25 decisions or 1 hour

1024d Embeddings

Decision Memory

Every decision stored with semantic embeddings (text-embedding-3-large, 1024 dimensions). Vector search finds similar past situations instantly.

Closed Loop

Outcome Tracking

Every outcome (success or failure) is linked back to the decision that caused it. Lessons are extracted by Claude and stored for future reference.

Self-Tuning

Pattern Confidence

Successful patterns get boosted. Failed patterns get penalized. The system naturally gravitates toward what works for your environment.

Full History

Evolution Audit

Complete audit trail of how the brain evolved. Every confidence change, every lesson learned, every reflection recorded with timestamps.

17
Learning Loop Tests
25
Decisions Per Reflection
1hr
Max Reflection Interval
1024d
Embedding Dimensions

Tiered Approval System

Human-in-the-loop control where it matters most

Read-Only

Auto-Approve Available

Information gathering only

Query device inventoryCheck patch statusCollect logs

Low Risk

Auto-Approve Available

Reversible changes with minimal impact

Clear temp filesRestart serviceUpdate registry settings

Medium Risk

Requires Approval

Changes requiring review

Install softwareModify firewall rulesChange user settings

High Risk

Requires Approval

Significant changes with approval required

Uninstall applicationsModify boot configNetwork changes

Critical

Requires Approval

Major actions requiring explicit authorization

System restoreDisk operationsAdmin account changes

Built for MSP Operations

Enterprise-grade endpoint intelligence with MSP-specific workflows

osquery Integration

Access 300+ virtual tables for deep endpoint visibility. Query processes, network connections, installed software, certificates, and more.

OPA Policy Engine

Define what Edge can do with Open Policy Agent. Per-endpoint, per-client, or global rules with version control.

Evidence Chains

Every action produces SHA-256 signed evidence: pre-state, command, post-state. Tamper-proof audit trail.

Dead Man Switch

Offline safety mode when agents lose connectivity. Read-only monitoring continues, actions pause until reconnection.

Workflow Builder

Create multi-step remediation workflows with conditional logic. Trigger on signals, schedule, or manual approval.

Continuous Loop

OODA cycle runs continuously, not just on-demand. Proactive detection and remediation of drift.

Extended Agents - Phase 3

Specialized AI Agents for Every Domain

Not one monolithic AI - a team of specialized agents, each an expert in their domain. 170+ tests verify these are real implementations, not demos.

NetworkIntelligence

Topology-aware impact analysis. Understands your network before making changes.

Site health scoring across all locations
WAN health monitoring and path tracing
Downstream alert suppression on root cause
Traffic pattern analysis and anomaly detection
66
Tests
13
API Endpoints

SecurityResponder

NIST IR lifecycle: Detection, Analysis, Containment, Eradication, Recovery.

Endpoint isolation with one-click containment
Lateral movement detection and blocking
IOC scanning and threat intelligence lookup
Forensic artifact collection with chain of custody
43
Tests
15
API Endpoints

DataProtection

Multi-vendor backup monitoring: Veeam, Acronis, Datto, Cove, Axcient - unified view.

RPO compliance monitoring across all vendors
Backup integrity verification and DR testing
Protection gap detection and auto-remediation
Storage usage trends and capacity planning
61
Tests
17
API Endpoints
170
Total Agent Tests
Verified implementations, not stubs
Deployment

Deploy in Minutes

Edge agents deploy through your existing RMM or as standalone installers. Automatic registration, policy sync, and health monitoring.

RMM Integration - Deploy via ConnectWise, Datto, NinjaRMM
Standalone Installer - MSI/PKG for manual deployment
Auto-Registration - Agents self-register with tenant
Policy Sync - OPA policies pushed automatically
# Edge Agent Status
Agent: edge-acme-ws-001
Status: Connected
Last Heartbeat: 2 seconds ago

# Current OODA Cycle
Observe: Scanning 312 osquery tables...
Orient: Comparing against CIS baseline
Decide: 3 drift items detected
Act: 2 auto-remediated, 1 pending approval

# Pending Approval
Action: Update Windows Defender definitions
Risk: Medium
Reason: Definition file 7 days old
Evidence: SHA-256:a8f2c...

[Approve] [Deny] [Defer]

Edge FAQ

Common questions about agentic endpoint intelligence

OODA (Observe, Orient, Decide, Act) is a decision framework from military strategy. Edge applies it to endpoint management: continuously observing system state via osquery, orienting by analyzing deviations from baselines, deciding on remediation actions with risk classification, and acting with human approval for risky operations. This creates autonomous yet controlled endpoint intelligence.

Beta Program Now Open

Ready for Autonomous Endpoint Intelligence?

Join the Edge beta program. Deploy on your first endpoints and see Claude-powered remediation in action.