How it works
Define and automate security & GRC workflows with AI agents
The HelmGuard AI agent orchestration platform unifies GRC data and lets your team define what they’d like to automate, then use the outputs to make better decisions.
THE UNIFIED DATA FOUNDATION
1. Building Atlas
AI agents live on context and data. That’s what we built HelmGuard with context as a core primitive delivered via Atlas. Atlas is created with AI but also enriched with underlying systems and continually updated as work gets done.
Atlas also inherits an ever-growing pool of information HelmGuard collects about third parties, including data they decide to share via the HelmGuard network.
Functionality
Orchestration
2. Running agents
HelmGuard comes with dozens of prebuilt AI agents for various activities in GRC and security: attack surface management, framework control mapping, security questionnaire answering and threat modeling, to name a few. You can create your own agents and combine them using workflows, a robust multi-agent orchestration tool.
HelmGuard’s agents often work for hours at a time without human intervention, fully automating processes end-to-end like TPRM.
Functionality
Human control
3. Making better decisions
The outcome of AI usage should be better decisions: what vendor to accept, what inbound questionnaire answer to modify, what controls to implement for a regulatory requirement.
The platform has a plethora of tools available for decision making from our lifecycle editor to our AI-generated reports. We also have best-in-class uncertainty quantification, so you know where to look deeper.
Functionality
Start making better decisions. Get time to focus on what really matters.
Outcomes
Get agents to do the work you’ve been putting off
GRC is no longer a resource allocation problem, but rather an agent orchestration and data problem. With our customers, we’ve seen this in practice, getting through work that would have taken months in the first few weeks of a deployment.
1. Audit thousands of assets and controls
Get through the backlog of internal audit work you need to do
2. Get on top of the AI agents your business uses
Use the platform to monitor and govern your agents
3. Get rid of your TPRM backlog
Get through the backlog of vendors you know you should look at
4. Build a system for inbound requests
Start answering inbound requests with a system in place
