DevSecOps pipelines designed specifically for LLM-based applications. Powered by the AgentControlLayer platform, we accelerate your AI roadmap safely.
Seamless CI/CD Integration
Security testing, prompt validation, and compliance checks built into every deployment. Shift left for LLM applications.
Automated security testing for every agent commit. Catch prompt injection vulnerabilities before they reach production.
Promote agents through environments with confidence. Automated testing gates ensure only validated agents reach production.
Every deployment checked against compliance rules. Policy violations block the pipeline, not the auditor.
Retrofitting security into deployed agents is 10x harder than building it in. Shift left or pay later.
You can't have security engineers review every prompt change. You need automated gates that catch vulnerabilities at commit time.
The right CI/CD pipeline makes secure deployment faster, not slower. Automation is the answer to both speed and safety.
Policy violations should block the pipeline, not surprise you in an audit. Shift compliance left with policy-as-code.
Shifting left isn't a one-time fix. We partner with you to bake security into every deploy.
We analyze your current workflows and identify the highest-ROI opportunities for agentic automation.
Our architects build your agents on the AgentControlLayer platform, ensuring security and scalability.
We deploy to production and train your team on how to manage the Human-in-the-Loop approval flows.
We stay on as your AgentOps partner, reviewing logs and optimizing prompts weekly to prevent drift.
We focus on teams who already ship or operate agents and now need a proper AgentOps control plane.
Product and platform teams adding agents into their SaaS products—support bots, onboarding agents, lead routing, and other embedded workflows.
Central teams that support multiple agent use cases across the business and need one place to control prompts, policies, and observability.
Shops that build agents and workflows for clients and want to offer them as reliable, audited services instead of one-off scripts.
Under the hood, AgentControlLayer is a full AgentOps control plane: a workflow engine, agent identity system, and observability layer that treat agents as first-class principals.
A LangGraph-powered workflow engine with schema-based IO, support for multi-agent patterns, and built-in Human-in-the-Loop nodes so you can pause, review, and resume critical steps.
Agents are treated as their own principals with permissions, histories, and versions—not just prompts in code. This aligns with emerging best practices from Google/Kaggle and others.
Designed to support Promptsmith-style atomic prompt boxes and AI-assisted reviews of prompts and workflows so you can continuously improve quality without losing control.
Common questions about secure agent deployment pipelines.
Prompt injection fuzzing, jailbreak attempt simulation, PII leakage detection, dependency vulnerability scanning, and custom policy checks. All automated, all before deployment.
Define pass/fail criteria for each environment (dev, staging, prod). Failed tests block promotion. Override requires explicit approval with full audit trail.
Yes. We provide GitHub Actions, GitLab CI, Jenkins, and generic webhook integrations. Drop into your existing pipeline with minimal configuration.
Most security scans complete in <2 minutes. Comprehensive fuzzing tests can run in parallel and take 5-10 minutes. Fast enough for CI, thorough enough for security.
One AgentOps control plane to build, secure, and observe your agent fleet.
Stop pasting strings into code. Our visual Prompt Builder UI allows you to design, test, and version complex prompts with variables, conditional logic, and model comparisons side-by-side.
Treat agents as first-class citizens with their own IAM roles. Manage permissions, enforce budget limits, and maintain complete audit trails of every decision your AI makes.
Bring DevOps discipline to LLMs. Version control your entire agent configuration—workflows, prompts, and RAG settings. Implement Human-in-the-Loop (HITL) checkpoints before critical actions.
Ready to deploy agents that actually work? We are accepting a limited number of enterprise clients for our Managed Agent Program. Get a custom roadmap, a dedicated AI Architect, and access to the AgentControlLayer platform.