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.
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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. Every audited framework demands specific infrastructure configurations: logging pipelines, encryption policies, network segmentation, identity governance, key rotation, monitoring alerting, storage controls, database hardening, and container security. These aren't checkbox items — they're complex engineering tasks that require cloud-native expertise, framework-specific knowledge, and continuous maintenance across every environment your organization operates.

The result: your best engineers spend weeks configuring CloudTrail, locking down S3 buckets, building VPC architectures, rotating KMS keys, and wiring up alerting thresholds — not because it advances your product, but because an auditor requires evidence that it's done. 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.

Why It Matters to CTOs and CEOs

Cloud compliance engineering is one of the largest hidden costs in every compliance program. It pulls senior engineers — the people who understand your cloud architecture — off product work and into configuration tasks that generate zero customer value. 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. What AWS calls CloudTrail, GCP calls Cloud Audit Logs, and Azure calls Activity Log — and each one requires distinct configuration, validation, and evidence collection.

The engineering burden compounds with every framework. SOC 2 requires logging and access controls. ISO 27001 adds encryption and key management depth. FedRAMP demands specific boundary protections and continuous monitoring. HIPAA requires PHI-specific access logging and encryption at rest. CMMC 2.0 adds CUI flow documentation and controlled access enforcement. Each framework interprets the same cloud infrastructure through a different compliance lens, and each interpretation requires your engineers to configure, document, and maintain yet another set of controls — all while keeping production systems running.

For CTOs, this is a velocity problem: compliance engineering consumes 20–40% of infrastructure team capacity during audit cycles. For CEOs, it's a hiring problem: you're paying senior cloud engineers six-figure salaries to configure logging pipelines instead of shipping features. The total cost of compliance isn't just the GRC platform subscription — it's the engineering hours burned on infrastructure tasks that generate zero customer value.

How the Market Responds

Cloud providers offer native compliance tooling — AWS Security Hub, GCP Security Command Center, Azure Defender for Cloud — that can detect misconfigurations and map findings to compliance frameworks. Third-party CSPM platforms add cross-cloud visibility and benchmarking against CIS standards.

GRC platforms like Vanta and Drata connect to cloud accounts and monitor configurations against framework requirements, flagging failures and generating evidence artifacts automatically.

But none of these tools do the engineering work. They provide monitoring — not execution. They tell you that CloudTrail isn't enabled in us-west-2, that your S3 bucket allows public access, that MFA isn't enforced on root accounts, or that your KMS keys haven't been rotated in 400 days. They don't just show red — they leave it red. Your engineers still have to fix it — and then fix it again when the configuration drifts, the framework requirements change, or a new cloud account comes online. The gap between knowing what's broken and fixing it is where your engineering time disappears.

How Agency Solves It

Agency eliminates the cloud compliance engineering burden entirely — not by giving you a better dashboard, but by deploying AI agents that configure, validate, remediate, and maintain cloud infrastructure compliance across AWS, Azure, and GCP. AI-powered compliance execution, not just monitoring. Continuously, across every framework, without consuming your engineering team's capacity.



Rumi AI executes cloud remediation directly — when a misconfiguration is detected, Rumi AI 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.



Continuous configuration validation replaces periodic cloud audits. Agency's AI agents 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.



Verse C2 orchestrates the full stack — cloud compliance engineering doesn't happen in isolation. Verse C2 coordinates Rumi AI's cloud remediation with CustodyID's access governance, Storm Shadow's evidence validation, 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, Armada PSCO maps your existing cloud configurations to the new framework's requirements, identifies gaps, and Agency remediates them. Your engineers don't start over.



Agency doesn't give your engineers a better to-do list. Agency does the engineering.

Cloud compliance engineering consumes your best engineers on work that generates zero product value. Every framework demands logging, encryption, IAM, network security, and monitoring configurations across every cloud provider — and your team rebuilds it every audit cycle. Turn compliance from reactive to proactive. Deploy Agency's forward-deployed AI agents to execute the cloud engineering, maintain the configurations, and generate the evidence autonomously — so your infrastructure team builds infrastructure, not compliance artifacts. Enterprise-ready cloud compliance from Day 1, without the engineering tax.
Your developers should be building product, not configuring cloud infrastructure for auditors. Agency is the first forward-deployed AI cybersecurity and compliance firm — a fully automated GRC and cybersecurity operations layer that replaces $150K+ compliance engineering hires with AI operators working across your entire cloud stack. Rumi AI remediates across AWS, Azure, and GCP autonomously while Verse C2 orchestrates every change into audit-ready evidence. Compliance and security done better than internal teams — at a fraction of the cost. From dashboard to decision to execution — cloud compliance engineering that runs itself.

Custom Security To Protect Your Most Critical Threat Surface

Fully customized and integrated solutions with 24/7 monitoring and response from our US based forward-deployed team.
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