Shift from rule-based DevSecOps checks to agentic workflows that analyze, act, and verify. As a Microsoft Data and AI Solutions Partner, WebNetNode helps teams bring AI into secure software delivery with policy-bound automation, human oversight, and production-grade control.
Talk to our AI experts
As delivery pipelines move faster, DevSecOps teams need a better way to review changes, resolve risks, and validate releases without slowing execution. WebNetNode helps you redesign DevSecOps with agentic execution, combining deep engineering expertise, proven accelerators, and reference architectures to scale autonomous workflows within clear policy, auditability, and ownership boundaries
Move from tool-led automation to an agent-executable DevSecOps model where delivery workflows are designed for autonomous reasoning, controlled action, and human oversight from the start. WebNetNode maps which DevSecOps decisions can be delegated to agents, which require human approval, and which must remain policy-locked. We define the agent roles, decision boundaries, escalation paths, and ownership model needed to make agentic delivery safe at enterprise scale.
Build specialized Dev, Sec, Ops, QA, compliance, and remediation agents to coordinate across repositories, CI/CD systems, cloud platforms, observability data, and release workflows. WebNetNode designs the orchestration layer that governs how agents call tools, pass context, validate each other’s outputs, route exceptions, and trigger approved actions. This creates an agent mesh where delivery tasks are not just automated, but reasoned through, delegated, and executed through policy-bound workflows.
Turn infrastructure-as-code into a context-aware delivery layer. Agents can review proposed changes, understand the target environment, flag policy conflicts, and suggest safer deployment paths before infrastructure moves forward. WebNetNode enables this across modern IaC and cloud-native environments such as Terraform, Helm, Pulumi, and Kubernetes. Infrastructure changes are assessed for security, reliability, cost impact, compliance fit, and deployment readiness before they reach production.
Create closed-loop remediation workflows that move security findings from detection to validated fixes with fewer manual handoffs. Deploy agentic workflows to prioritize risks, suggest remediation paths, verify fixes, and capture evidence for review. WebNetNode designs these workflows so each action follows clear policy boundaries. High-risk changes stay approval-bound, while repeatable low-risk fixes can move through governed autonomous loops.
Maintain visibility and control over how DevSecOps agents behave, decide, and act across secure delivery workflows. WebNetNode implements the control plane for agent access, tool permissions, action logs, decision trails, and continuous policy tuning. This gives engineering, platform, and security leaders the intelligence needed to scale agentic automation without creating opaque, ungoverned, or unauditable delivery systems.
Our expanding suite of intelligent, purpose-built agents brings both speed and control to cloud-native and AI-native delivery by reducing pre-commit risk, validating infrastructure, architecture posture, and strengthening release confidence.
Produces infrastructure-as-code drafts for cloud resources, environments, and deployment configurations. It helps teams accelerate provisioning while keeping infrastructure changes structured and reviewable.
Evaluates workloads against well-architected principles, highlighting gaps in reliability, security, cost, performance, and operational design before they become production issues.
Assesses code, configurations, dependencies, and pipeline changes against defined security expectations, helping teams identify risks earlier and prioritize what needs remediation.
Supports model lifecycle tasks such as model selection, version tracking, deployment readiness, monitoring, and drift-related checks for AI-enabled engineering workflows.
Reviews early deployment signals from canary releases, such as error rates, latency, service health, rollback triggers, and business KPIs. It helps teams compare release behavior against baseline performance before broader rollout decisions are made.
Analyzes reliability signals such as incidents, logs, alerts, service behavior, and deployment patterns to support root-cause analysis, runbook updates, and resilience improvements.
Microsoft-awarded designations validate WebNetNode implementation excellence and proven ability to deliver measurable business outcomes across key solution areas. Each designation is earned through demonstrated technical proficiency, successful customer deployments, and verified results aligned with Microsoft’s criteria for real-world business impact.
