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← AI Agents

What can AI agents actually automate?

31 real infrastructure use cases handled end-to-end by autonomous agents — from Terraform drift detection to cross-cloud deployment orchestration.

Integrates with

Terraform
AWS
Azure
Google Cloud
Kubernetes
GitHub
GitLab
Trivy
Splunk
Sentinel
Jira
ServiceNow
Slack
Neo4j
Prometheus
Grafana
31 use cases
Category
Agent
IaC AutomationTerraform Agent

Automate Terraform Drift Detection with AI Agents

Continuous drift detection across every Terraform workspace, with blast-radius classification and PR-based remediation.

TerraformAWSAzureGCP
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IaC AutomationTerraform Agent

AI-Powered Terraform Plan Review

Autonomous pre-merge review of every Terraform plan: blast-radius scoring, policy checks, and architecture flags in under a minute.

TerraformGitHubGitLabOPA
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IaC AutomationTerraform Agent

Auto-Remediate Terraform Apply Failures with AI

When `terraform apply` fails, the agent diagnoses the root cause and either retries, rolls back, or opens a fix PR, without waking anyone up.

TerraformAWSAzureGCP
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IaC AutomationTerraform Agent

Terraform Policy-as-Code Enforcement with AI

OPA policies, naming conventions, and compliance rules enforced at plan time across every workspace, with human-readable violation reports.

TerraformOPARegoSentinel
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Cloud SecuritySecurity Agent

Container Image Vulnerability Scanning with AI Agents

Every container image scanned with Trivy, findings triaged by exploitability and reachability, and fix PRs opened automatically.

TrivyDockerKubernetesGitHub
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Cloud SecuritySecurity Agent

CIS Benchmark Automation with AI Agents

Continuous CIS benchmark compliance across AWS, Azure, and GCP, with auto-remediation for low-risk controls and audit-ready evidence.

AWSAzureGCPOPA
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Cloud SecuritySecurity Agent

OPA Policy Enforcement at Deploy Time with AI

Real-time OPA policy evaluation against every deploy, with context-aware explanations instead of cryptic Rego denials.

OPARegoKubernetesTerraform
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Cloud SecuritySecurity Agent

AI-Driven Cloud Compliance Gap Detection

Continuous SOC 2, ISO 27001, HIPAA, and PCI gap analysis across your cloud estate, with prioritized remediation plans.

AWSAzureGCPSOC 2
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Network OperationsNetwork Validation Agent

Pre-Deployment Network Validation with AI Agents

Batfish-powered reachability and ACL testing before any network change reaches production, catching breakage before it ships.

BatfishTerraformAWSAzure
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Network OperationsNetwork Validation Agent

Firewall Change Validation with AI Agents

Every firewall rule change simulated against real traffic patterns before it ships, using Batfish and your production flow logs.

BatfishAWS VPC Flow LogsPalo AltoFortinet
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Network OperationsNetwork Digital Map Agent

Multi-Cloud Topology Mapping with AI Agents

Automatic, continuous topology discovery across AWS, Azure, and GCP, with cross-cloud relationships and a live visual map.

AWSAzureGCPNeo4j
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Network OperationsNetwork Digital Map Agent

Network Change Impact Analysis with AI

Before you apply a network change, see exactly which services, paths, and dependencies it will affect, rendered on the live topology graph.

BatfishNeo4jTerraformAWS
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Network VisibilityOrchestrator Agent

End-to-End Network Visibility with AI Agents

Continuous network visibility from config collection to digital twin to knowledge graph to live telemetry, orchestrated end-to-end by AI agents.

PyATSBatfishNeo4jTelegraf
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Network VisibilityNetwork Digital Map Agent

Automated Network Configuration Collection with AI Agents

Continuous, multi-vendor configuration collection from every device, versioned in Git, parsed into structured data, queryable, and trusted.

PyATSCisco IOSCisco NX-OSJuniper Junos
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Network VisibilityNetwork Validation Agent

Build a Network Digital Twin with AI Agents

A continuously-updated Batfish digital twin of your production network. Test changes safely, simulate failures, and validate before you ship.

BatfishPyATSCisco IOSJuniper Junos
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Network VisibilityNetwork Digital Map Agent

Network EoS/EoL Detection with AI Agents

Continuously cross-reference your device inventory against vendor end-of-support and end-of-life feeds, with a remediation roadmap, not a panic.

Cisco PSIRTCisco EoXJuniperArista
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Network VisibilityNetwork Digital Map Agent

Build a Network Knowledge Graph with Neo4j and AI

Model every device, link, interface, and service relationship in Neo4j, and query the network like a database.

Neo4jCypherPyATSCDP
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Network VisibilityNetwork Digital Map Agent

Network Telemetry Collection with Telegraf, InfluxDB, and AI

Stream metrics from every device into InfluxDB and Prometheus, render in Grafana, and let AI agents detect anomalies, without hand-configuring anything.

TelegrafInfluxDBPrometheusGrafana
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Network VisibilityNetwork Validation Agent

Network Operational State Validation with PyATS

Continuously validate operational state (BGP neighbors, OSPF adjacencies, interface counters, route tables) against intent, using PyATS and Genie.

PyATSGenieCisco IOSCisco NX-OS
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Architecture ReviewArchitecture Reviewer

Automated AWS Well-Architected Review with AI

Continuous Well-Architected Framework assessment across every workload: reliability, security, cost, performance, operational excellence, and sustainability.

AWS Well-Architected ToolTerraformAWS
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Architecture ReviewArchitecture Reviewer

Cloud Architecture Anti-Pattern Detection with AI

Detect the cloud anti-patterns your team keeps repeating (shared databases, synchronous chatty services, single points of failure) before they hit production.

Neo4jAWSAzureGCP
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Architecture ReviewArchitecture Reviewer

Continuous Architecture Assessment with AI Agents

Architecture health scored every day across every workload, with drill-downs into reliability, cost, and complexity trends.

TerraformNeo4jAWSAzure
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Architecture ReviewArchitecture Reviewer

AI-Powered Terraform Module Review

Every Terraform module reviewed for best practices, security, composability, and versioning discipline, before it lands in your registry.

TerraformTerraform RegistryGitHubOPA
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Deployment OrchestrationOrchestrator Agent

Multi-Step Deployment Orchestration with AI Agents

Coordinate deployments that span Terraform, Kubernetes, DNS, and secrets, with sequencing, verification, and rollback at every step.

TerraformKubernetesRoute 53Vault
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Deployment OrchestrationOrchestrator Agent

Automated Deployment Rollback with AI Agents

Detect a bad deploy from metrics and logs, then roll back automatically across every layer the deploy touched.

PrometheusDatadogTerraformKubernetes
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Deployment OrchestrationOrchestrator Agent

Cross-Cloud Deployment Coordination with AI Agents

Coordinate deploys that span AWS, Azure, and GCP, with cross-cloud sequencing, shared-service dependencies, and unified rollback.

AWSAzureGCPTerraform
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Deployment OrchestrationOrchestrator Agent

Autonomous Change Approval Gating with AI

Every production change automatically checked for risk, compliance, and architectural fit, gating approval on evidence rather than rubber-stamps.

ServiceNowJiraTerraformOPA
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Network CognitionCogniNet Agent

What-If Network Failure Analysis with CogniNet

Model link, device, and interface failures before they happen. CogniNet's GNN predicts blast radius, convergence time, and affected services for any proposed change or failure scenario.

CogniNetBatfishNeo4jPyATS
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Network CognitionCogniNet Agent

Network Cognition Scoring for Executive Reporting

A single weighted score — the Network Cognition Score (NCS) — that captures performance, confidence, risk, impact, and intent alignment across your entire network, with executive summaries your CTO can read.

CogniNetNeo4jBatfish
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Network CognitionCogniNet Agent

Multi-Vendor Network Configuration Analysis with CogniNet

Parse and analyze configurations from Cisco IOS, NX-OS, ASA, Palo Alto, and F5 through 7 specialized analyzers and a 108+ rule engine — in a single pass.

CogniNetBatfishCisco IOSCisco NX-OS
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Network CognitionCogniNet Agent

Intent-Based Network Validation with CogniNet

Define your network intent in YAML — routing policy, redundancy requirements, security posture — and let CogniNet validate that your actual configurations match your design intent, with remediation for every deviation.

CogniNetBatfishNeo4jPyATS
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Don't see your use case?

Structura's agents are composable. If you can describe the workflow, we can show you how to automate it.

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