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Challenge

GRC Engineering

Achieving and maintaining compliance in cloud environments requires deep, hands-on engineering work across AWS, Azure, and GCP — and that work almost always falls on your developers. Agency is the team that takes it off them — forward-deployed compliance engineers plus AI, without the headcount.

Multi-cloud, multi-framework
Multi-cloudCloud platformsInfrastructure as CodeNative cloud tooling
Logging & audit trails Encryption & key rotation IAM hardening Network hardening Drift remediation Evidence generation Agency AI · cloud compliance engineering Your platforms detect · Agency remediates Multi-cloud · every account, project, and subscription

The monitoring is solved. The engineering isn't.

Agency AI · GRC Engineering
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The Problem

Achieving and maintaining compliance in cloud environments requires deep, hands-on engineering work across AWS, Azure, and GCP — and that work almost always falls on your developers. Many organizations assume that buying the best GRC platform eliminates the engineering burden — but the platform monitors your cloud configurations, it doesn't build them. Your engineers still configure CloudTrail, set up encryption, harden IAM policies, and maintain it all.

The tooling identifies what needs to be done. Your team still does the work.

Teams track cloud compliance tasks in Jira tickets and spreadsheets, with engineers manually documenting what they configured and producing screenshots as evidence. Every hour spent on cloud compliance engineering is an hour not spent building product, closing deals, or serving customers. And when the next framework arrives, the cycle restarts with a different set of requirements mapped to the same underlying infrastructure.

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Why It Matters

Cloud compliance engineering is one of the largest hidden costs in every compliance program. If your cloud compliance engineering costs more in engineer hours than the value of the certification it enables, the investment model is broken. GRC engineering has to deliver measurable ROI — faster certifications, fewer audit findings, and engineering capacity returned to product work.

For organizations operating across AWS, Azure, and GCP simultaneously, the problem triples: each cloud provider has different services, different naming conventions, different APIs, and different compliance tooling.

AWSCloudTrail
GCPCloud Audit Logs
AzureActivity Log

Each one requires distinct configuration, validation, and evidence collection. The engineering burden compounds with every framework.

SOC 2Logging and access controls
ISO 27001Encryption and key management depth
FedRAMPSpecific boundary protections and continuous monitoring
HIPAAPHI-specific access logging and encryption at rest
CMMC 2.0CUI flow documentation and controlled access enforcement

Each framework interprets the same cloud infrastructure through a different compliance lens — and compliance engineering consumes 20–40% of infrastructure team capacity during audit cycles.

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Software Only Options

Cloud providers and compliance platforms offer excellent detection and monitoring capabilities — surfacing misconfigurations, mapping findings to framework requirements, and generating evidence when configurations meet standards. These tools have dramatically improved visibility into cloud compliance posture.

But they identify what's wrong. Your engineers fix it. And fix it again when it drifts, when frameworks change, or when new cloud accounts come online. The monitoring is solved. The engineering isn't. The gap between knowing what's broken and fixing it is where your engineering time disappears.

What platforms give you Surfacing misconfigurations Mapping findings to framework requirements Generating evidence when configurations meet standards Visibility into cloud compliance posture
What still falls on your engineers Fixing what's wrong Fixing it again when it drifts Re-engineering when frameworks change Starting over when new cloud accounts come online
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How Agency Solves It

Agency works alongside the tools you already trust — Vanta, Drata, CrowdStrike, and your native AWS/Azure/GCP tooling. No rip-and-replace. Your platforms detect. Agency remediates. Your tools surface findings. Agency resolves them. Forward-deployed engineers and proprietary AI execute compliance, not just monitor it — continuously, across every framework, without consuming your engineering team's capacity.

Your platforms detectAgency remediates
Cloud platformsNative cloud toolingGRC platformEndpoint securityevery account, project, and subscription
Agency AI · Rumi + FDEs
Encryption enabledIAM policies tightenedLogging configuredKeys rotatedNetwork configs hardenedEvidence mapped to controls
API-based remediation · Infrastructure as Code pipelinesForward-deployed engineers + proprietary AI
Detect → RemediateWhere judgment begins
01Detect — your platforms surface the misconfiguration 02Act — Rumi, the AI DevSecOps engineer inside Agency AI, remediates via API and IaC pipelines, not a ticket 03Routine drift — remediated automatically 04High-blast-radius changes — reviewed by forward-deployed engineers before execution 05Document — evidence mapped to the specific framework controls it satisfies
Result Automation ends where judgment begins Your infrastructure team builds product, not compliance artifacts

Rumi, the AI DevSecOps engineer inside Agency AI, executes cloud remediation directly — when a misconfiguration is detected, Rumi doesn't create a Jira ticket for your engineers to triage. It takes action: enabling encryption, tightening IAM policies, configuring logging, rotating keys, and hardening network configurations through API-based remediation and Infrastructure as Code pipelines. Routine drift is remediated automatically; high-blast-radius changes are reviewed by our forward-deployed engineers before execution. Automation ends where judgment begins.

Continuous configuration validation replaces periodic cloud audits. Agency's forward-deployed engineers, supercharged by AI, monitor every account, every project, and every subscription against every active framework's requirements — detecting drift and remediating it before your next evidence collection cycle.

Multi-cloud, multi-framework coverage — Agency operates across AWS, Azure, and GCP simultaneously, translating framework requirements into cloud-specific configurations. SOC 2 logging requirements become CloudTrail configurations in AWS, Cloud Audit Log configurations in GCP, and Activity Log configurations in Azure — all maintained in parallel.

Compliance-mapped evidence generation — every configuration change, remediation action, and validation result is documented as audit-ready evidence and mapped to the specific framework controls it satisfies.

Agency AI orchestrates the full stack — cloud compliance engineering doesn't happen in isolation. Agency AI coordinates Rumi's cloud remediation with CustodyID's access governance and your GRC platform's control tracking — ensuring every infrastructure change is captured end-to-end.

Framework expansion without re-engineering — when you add a new framework to your compliance program, Agency AI maps your existing cloud configurations to the new framework's requirements, identifies gaps, and Agency remediates them. Your engineers don't start over.

Agency becomes your cloud compliance engineering team — U.S.-based forward-deployed engineers, supercharged by proprietary AI, who configure, maintain, and document your cloud infrastructure for every framework. The team you'd otherwise hire, without the headcount — operating continuously, across every cloud provider, at a fraction of the cost.

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Your cloud compliance engineering team — the engineers you'd otherwise hire, without the headcount
Agency AI Rumi · AI DevSecOps engineer Continuous validation Drift remediation Multi-cloud coverage Compliance-mapped evidence Agency AI · framework mapping CustodyID · access governance

Managed outcome

Your platforms detect. Agency remediates.

Agency works alongside the tools you already trust — Vanta, Drata, CrowdStrike, and your native AWS/Azure/GCP tooling. Forward-deployed engineers and proprietary AI execute the cloud engineering, maintain the configurations, and generate the evidence end-to-end — so your infrastructure team builds product, not compliance artifacts.

KeepGRC platformEndpoint securityCloud platforms— no rip-and-replace

Agency becomes your cloud compliance engineering team — the engineers you'd otherwise hire to configure, maintain, and document your cloud infrastructure for every framework, without the headcount. Your Vanta or Drata instance detects. Agency remediates. U.S.-based forward-deployed engineers, supercharged by AI, operate continuously across AWS, Azure, and GCP, at a fraction of the cost of dedicated compliance engineers.

Across every cloud platform — continuously
Detect Remediate Validate Document
GRC engineering that delivers measurable ROI — faster certifications, fewer findings, and engineering capacity returned to product work.

Related Frameworks

Frameworks we operate for this challenge

All frameworks

Agency Comply

Your security and compliance team, without the headcount.

U.S.-based forward-deployed engineers, supercharged by proprietary AI, operate your program end-to-end — on top of the tools you already trust. Automation ends where judgment begins.

Find Your Solution
AI-Powered

Build a Security & Compliance Team Led by Your Own Virtual CISO

Forward-Deployed Engineers + AI that lower costs, increase velocity, and raise the bar — from policy to audit to remediation. U.S.-based forward-deployed engineers, supercharged by proprietary AI, operate your program end-to-end — on top of the tools you already trust.

Find Your Solution Automation ends where judgment begins.