fleet/articles/security-compliance-automation.md

How security compliance automation works for device fleets

Compliance frameworks expect proof that controls worked every day of the review period, not a snapshot compiled the week before the auditor arrives. Here's how automation, MDM, and compliance-as-code close that gap.

Key takeaways

• Continuous verification replaces the periodic scramble. Automated systems check device state as devices report in and collect timestamped evidence in the background, so compliance becomes an ongoing process instead of a spreadsheet exercise before each audit.
• One hardening effort can feed several frameworks. CIS Benchmarks align with the CIS Critical Security Controls, which map to frameworks like NIST 800-53 and ISO 27001, so a single baseline contributes to multiple programs, though no single technical baseline fully covers any framework on its own.
• Automation runs in three layers: telemetry, evaluation, and evidence. Device software reports configuration state, an engine grades it against codified rules on a frequent schedule, and an audit trail records who passed, what got remediated, and how posture changed over time.
• Enforcement matters as much as monitoring. MDM pushes configuration profiles on macOS and Configuration Service Providers on Windows, so a failed check can actually be fixed. Monitoring alone never corrects a misconfigured device.
• Compliance defined as code is auditable and reversible. When rules live in Git as YAML, get reviewed in a pull request, and deploy through CI, you can show auditors exactly which controls were active on any date, and drift gets corrected on the next run.
• Fleet runs all four functions from one console. MDM handles enforcement while Fleet's agent handles telemetry and evaluation across macOS, Windows, and Linux, so the same system that sets a control also proves it is in place, with no stitched-together tools.

See compliance managed as code

Audit preparation is expensive. IT and security teams gather evidence from scattered tools, document device configurations, and prove that controls work as intended, all while frameworks expect that validation to be continuous rather than a point-in-time snapshot. Manual processes can't keep pace with a modern device fleet.

Mobile device management (MDM) and compliance-as-code are what close that gap. The sections below walk through how compliance automation works, how MDM supports enforcement, and where compliance-as-code fits, starting with what the term actually means.

What is security compliance automation?

Security compliance automation uses software to check whether devices meet security requirements, replacing spreadsheets and manual audits with continuous verification. Instead of periodic spot-checks, automated systems verify configurations as devices report in, collecting evidence in the background and flagging problems immediately.

For organizations managing hundreds or thousands of devices, this shifts compliance from a periodic scramble to an ongoing process. Frameworks like SOC 2 Type 2 require evidence that controls operated effectively throughout a review period, often spanning six to twelve months. Manually compiling that evidence across an entire fleet doesn't scale, which is where automation takes over.

Why enterprises automate security compliance

Automation pays off in a few reinforcing ways. Manual evidence collection eats a large share of compliance effort, and automated systems cut that documentation work while improving accuracy through consistent, timestamped collection. Because modern frameworks expect ongoing control assessments rather than point-in-time snapshots, continuous monitoring catches configuration changes before they become audit findings. And since automated checks run the same validation logic every time, they remove the variability that creeps in when different team members interpret requirements differently.

The efficiency compounds across frameworks. Center for Internet Security (CIS) Benchmarks provide specific, measurable configuration baselines for individual technologies, and because they align with the broader CIS Critical Security Controls, which in turn map to frameworks like NIST 800-53 and ISO 27001, a single hardening effort can contribute to multiple compliance programs. No single technical baseline provides full coverage of any framework on its own. All of this scales in a way manual verification can't: automation lets your compliance program grow with the fleet without adding headcount proportionally.

Where these benefits compound most is when configuration checks, evidence collection, and enforcement all run through the same system rather than being stitched together across separate solutions.

How compliance automation works

Compliance automation has three layers. The first is telemetry: device-level software collects configuration state and reports it to a central system on a regular schedule or when changes occur.

The second layer is evaluation. An evaluation engine checks that telemetry against codified rules and makes pass/fail decisions. Rather than running scans weekly or monthly, evaluation engines check device state on a frequent schedule, anywhere from minutes to daily. Your security team sees compliance status change as devices drift, not days later during a scheduled assessment.

The third layer is evidence. Compliance automation maintains audit trails that show when devices passed or failed checks, what got remediated, and how posture changed over time. Automated evidence carries device identifiers and timestamps that auditors can trace back to specific controls, which manually compiled spreadsheets often lack.

MDM and compliance automation

MDM handles both visibility and enforcement across device environments, delivering configuration profiles as the primary enforcement mechanism on macOS and Configuration Service Providers (CSPs) on Windows, with Group Policy still applying in domain-joined environments. Either way, MDM gives you a mechanism to push security configurations and collect telemetry showing whether those configurations hold. This enforcement capability matters because monitoring alone won't fix a misconfigured device.

How enforcement works varies by platform, and the specific mechanisms differ between macOS, Windows, iOS, Android, and Linux. MDM also contributes device inventory and configuration data that feeds into broader compliance workflows.

Platform-specific considerations

On macOS, the macOS Security Compliance Project (mSCP), a NIST-led collaborative effort, provides configuration profiles, scripts, and audit checklists that organizations deploy through MDM. Automated Device Enrollment (ADE) is a separate program that handles enrollment, not compliance baselines, though the two are commonly used alongside each other. Windows environments use modern device management methods and vendor-provided security baselines. CIS Benchmarks are also a widely used standard across multiple platforms, giving organizations a common hardening baseline that can support broader compliance efforts.

Linux has more variety, with organizations implementing CIS Benchmarks through configuration management tools, SCAP-based scanners, or distribution-native hardening tooling. The right approach comes down to whether your environment is cloud-first and multi-platform.

Compliance monitoring through MDM telemetry

MDM contributes inventory and configuration signals that feed into compliance automation, and that telemetry provides a useful baseline. But it has limits: it doesn't expose details like whether a specific process is running, what browser extensions are installed, or whether a configuration was manually changed after deployment. Fleet pairs MDM telemetry with its agent and its 400+ queryable data tables to fill these gaps, giving compliance teams both enforcement data and deep device visibility from the same console.

This telemetry can be exported to Security Information and Event Management (SIEM) solutions and data platforms for centralized evidence and security correlation.

Compliance as code

Compliance as code treats security requirements like software: requirements are defined as code, tested before deployment, stored in version control for traceability, and applied automatically across the fleet. The approach catches compliance issues before deployment rather than after systems are running. Most device management solutions don't support this workflow natively, requiring custom glue code between Git and the MDM to connect compliance definitions to deployment pipelines.

Fleet supports compliance-as-code natively. Teams define desired state in declarative YAML rather than writing imperative scripts against an API, and the fleetctl gitops command applies that configuration as part of a CI/CD pipeline. See Fleet's GitOps workflows for the full configuration reference.

How Fleet handles compliance automation

Most teams piece together telemetry, evaluation, evidence, and enforcement across separate solutions, using one product for MDM enforcement and a different product for deeper device monitoring with no shared data layer between them. Fleet handles all four within a single console. MDM covers enforcement and configuration delivery across Apple and Windows devices, while Fleet's agent handles telemetry and evaluation across macOS, Windows, and Linux. The same console that enforces a setting can also verify whether that setting is in place.

Fleet's compliance checking works by evaluating yes-or-no questions about device state. Teams define what compliance looks like, and Fleet evaluates devices against those definitions on a regular schedule. Checks can be scoped to specific platforms like macOS, Linux, Windows, and ChromeOS, letting you define platform-appropriate rules without maintaining separate compliance systems. Fleet includes over 400 pre-built policies for CIS Benchmarks covering macOS and Windows, along with documentation for specific operating system versions. When devices fail checks, Fleet can trigger automatic remediation such as installing required software or running a remediation script, with customizable thresholds before webhooks create tickets in service management systems, alert on-call engineers, or feed data into SIEM solutions.

Fleet applies the compliance-as-code workflow described above to these policies. Because rules live as YAML in a Git repository and change through reviewed pull requests, the version history answers the question auditors actually ask: which rules were active on a specific date. And if someone changes a setting outside that declared state, the next GitOps run corrects the drift to match the YAML.

Automate compliance monitoring with Fleet

Fleet combines MDM enforcement with verification from Fleet's agent, with device data available in near real-time rather than on periodic sync cycles. Because compliance definitions live in version control alongside other infrastructure code, the same review process that governs your infrastructure now governs your compliance posture.

Fleet supports macOS, iOS, iPadOS, Windows, Linux, ChromeOS, and Android from a single console, with policy-based compliance checks running on the platforms Fleet's agent supports. Schedule a demo to see how Fleet fits into your compliance automation strategy.

Frequently asked questions

How do compliance automation solutions handle exceptions and waivers?

Fleet supports exception workflows by letting teams use label-based targeting and custom exclusion labels so specific devices or groups can be temporarily exempted from certain checks. The exception typically includes a justification, an approver, and an expiration date. Real environments always have edge cases, like a test device that needs a non-standard configuration or a legacy system that can't meet a specific baseline. Auditors expect documented exceptions with clear approval trails rather than gaps in compliance data.

How long does it take to implement compliance automation for device fleets?

It depends on fleet size, platform diversity, and existing tooling. Starting with a pilot group before expanding to broader deployment works well. Smaller fleets with straightforward requirements can typically get initial checks running within a few days, while larger environments with complex framework requirements need longer rollout periods.

Can compliance automation replace manual security assessments entirely?

Automated solutions handle known configuration issues and evidence collection well, but they have limits. Novel attack vectors, business logic flaws, and risks that need contextual judgment still benefit from human review. Automation handles routine compliance validation, while manual review covers high-risk changes, exception requests, and assessments that go beyond configuration checking. Teams using Fleet often pair its automated checks with periodic manual reviews focused on the harder questions.