Secureframe
Secureframe is an automated security, privacy and compliance platform. It connects to cloud infrastructure, identity and HR systems, collects evidence continuously and monitors controls against SOC 2, ISO 27001, HIPAA, PCI DSS, GDPR, CCPA and CMMC 2.0. The Comply AI suite drafts policies, scores risk, maps controls across frameworks and generates infrastructure-as-code fixes for failing controls, while AI Evidence Validation flags missing documents and outdated timestamps before auditors do, and Trust AI answers security questionnaires from organisational knowledge.
Its sharpest edge is Secureframe Defense, a dedicated federal lane that carries contractors through CMMC certification with AI-generated System Security Plans. A quote-based enterprise purchase, it serves more than 6,000 customers by its own count.
- Cost
- Enterprise
- Ease
- Intermediate
- Model
- Hosted service
- Checked
- July 2026
Prices, plans and model versions change fast: this is a mid-2026 snapshot; check the tool's official site for the latest.
Best for
- Continuous compliance monitoring across SOC 2, ISO 27001, HIPAA, PCI DSS and CMMC 2.0
- CMMC certification for defence contractors through Secureframe Defense
- AI-drafted policies, risk assessments and questionnaire answers for human review
- Infrastructure-as-code remediation for failing controls
- Evidence validation that flags gaps before auditors do
Less suited to
Secureframe is a quote-based enterprise purchase with no door below a sales conversation, so teams hoping to trial compliance automation this afternoon are outside the shape. Organisations without a compliance owner to run the programme will find it automates work nobody is accountable for. It automates the programme, not the attestation: certifications such as SOC 2 and ISO 27001, and CMMC assessments, still require an independent human auditor or certified assessor, and Secureframe does not replace the audit or the accountable officer.
AI-drafted policies, questionnaire answers, risk assessments and auto-generated remediation code need review by someone qualified to stand behind them before they reach auditors, regulators or customers. And because the platform connects to cloud infrastructure, identity and HR systems, scrutinise its own data terms, security documentation and trust posture before connecting core systems, the same scrutiny it helps you apply to your own vendors.
Costs & data, in short
Secureframe is a quote-based enterprise purchase with no public pricing and no way in below a sales conversation. The pricing page names three plans, Fundamentals for getting compliant, Complete for scaling a compliance programme and Defense for the CMMC federal lane, all behind a quote or demo conversation. Budget for a sales-led, scoped rollout sized to the frameworks and connected systems in play rather than a tool one team switches on.
Secureframe connects to a company's most sensitive systems, cloud infrastructure, identity and HR among them. It holds the evidence trail a compliance programme depends on, so treat it as a core data processor. Scrutinise the platform's own data terms, security documentation and published trust posture before connecting core systems, the same scrutiny it helps you apply to your own vendors. Two duties never transfer. Certifications such as SOC 2 and ISO 27001, and CMMC assessments, still require an independent human auditor or certified assessor, and AI-drafted policies, questionnaire answers and auto-generated remediation code need review by someone accountable enough to stand behind them before they reach auditors, regulators or customers. The MCP server offers read-only access to compliance data and is in public beta.
In practice
How Secureframe is used, area by area.
Legal & compliance
Secureframe treats audit readiness as something you can check before the auditor does. It monitors controls continuously against SOC 2, ISO 27001, HIPAA, PCI DSS, GDPR, CCPA and CMMC 2.0, and the Comply AI suite carries the drafting load: policies generated and edited, inherent and residual risk scored with treatment plans, controls mapped across frameworks, and vendor documents such as SOC 2 reports mined for third-party risk answers. AI Evidence Validation reviews the file before the auditor does, flagging missing documents, outdated timestamps and mismatched submissions, while Trust AI drafts questionnaire responses from organisational knowledge. For defence contractors, Secureframe Defense adds AI-generated System Security Plans and an end-to-end CMMC path. Compliance owners whose roadmap includes federal or defence work, where CMMC readiness cannot be improvised, gain most.
Example tasks
- Collect audit evidence continuously across SOC 2 and ISO 27001 programmes
- Draft security policies with Comply AI for accountable owner review
- Answer security questionnaires from organisational knowledge with Trust AI
- Flag missing documents and outdated timestamps before the audit
- Assess vendor risk from documents such as SOC 2 reports
Limits
Secureframe automates the programme, not the attestation. Certifications such as SOC 2 and ISO 27001, and CMMC assessments, still require an independent human auditor or certified assessor, and compliance decisions, risk acceptance and attestations remain the responsibility of your accountable owner. AI-drafted policies, questionnaire answers and risk assessments need review by someone qualified to stand behind them before they reach auditors, regulators or customers.
The platform also connects to your most sensitive systems, so scrutinise its own data terms and security documentation before connecting them, the same scrutiny it helps you apply to your vendors.
Compares
| vs | Pick Secureframe when | Pick the other when |
|---|---|---|
| VantaFull comparison → | Secureframe answers the category heavyweight with the named Comply AI suite, pre-audit evidence validation and the only dedicated CMMC federal product on the shortlist | you want the category's largest platform and its breadth of trust management over a federal pathway |
| DrataFull comparison → | Secureframe leans on practical automation depth, infrastructure-as-code remediation and evidence validation plus the defence-contractor lane | agentic platform breadth and an MCP server matter more than CMMC coverage |
Operations
Operations owns the systems compliance evidence comes from, and Secureframe sits directly on them. It connects to cloud infrastructure, identity and HR platforms, watches control health continuously and turns failures into work operations can action: Comply AI for Remediation generates infrastructure-as-code fixes for failing controls, ready for normal code review rather than a ticket queue. Automated User Access Reviews, added in April 2026, take a recurring governance chore off the calendar, and the MCP server, in public beta, gives read-only access to live compliance data from AI and developer tools that speak the protocol. Compliance stops arriving as an annual disruption and becomes telemetry on systems operations already runs. Teams that own the control environment day to day and want findings delivered as executable fixes gain most.
Example tasks
- Monitor control health continuously across cloud, identity and HR systems
- Generate infrastructure-as-code fixes for failing controls, then code-review them
- Run automated user access reviews on a schedule
- Map existing controls onto additional frameworks with Comply AI
- Query live compliance data read-only through the MCP server beta
Limits
General workflow automation is not the job here. Secureframe automates compliance operations specifically, and a team wiring arbitrary business processes wants a different tool class. The duties that stay human stay human: auto-generated infrastructure-as-code fixes go through normal code review before deploy, AI-drafted outputs need an accountable reviewer, and certification still ends with an independent human auditor rather than a dashboard.
Before granting the platform its connections to cloud, identity and HR systems, scrutinise its own data terms and security posture as carefully as it will scrutinise your vendors.
Compares
| vs | Pick Secureframe when | Pick the other when |
|---|---|---|
| Zapier | Secureframe is purpose-built compliance automation that ships auditor-ready evidence and framework mappings rather than workflows you assemble and maintain yourself | the need is everyday app-to-app automation with no audit trail at stake |
Automation & agents
Secureframe belongs in this category because the automation is the product. It replaces the hand-wired evidence collection teams otherwise assemble from scripts and general automation tools with purpose-built compliance automation that ships auditor-ready. The named Comply AI capabilities each automate a specific job, remediation code for failing controls, risk scoring with treatment plans, policy drafting, control mapping across frameworks and third-party risk answers pulled from vendor documents, while AI Evidence Validation audits the evidence file itself before a human auditor does. Secureframe Defense extends the same automation into the federal lane, generating System Security Plans for CMMC, and the MCP server in public beta exposes compliance data, read-only, to agentic tools. Organisations replacing manual evidence gathering with automation they can show an auditor gain most.
Example tasks
- Automate evidence collection that was previously wired by hand
- Score inherent and residual risk with generated treatment plans
- Produce System Security Plans for CMMC through Secureframe Defense
- Flag mismatched evidence submissions before auditors see them
- Keep control mappings current as frameworks are added
Limits
If the processes you want automated are not compliance processes, look elsewhere; purpose-built means narrowly built. The automation also stops short of accountability. Certifications still require an independent human auditor or certified assessor, and AI-drafted policies, questionnaire answers and generated remediation code need review by someone accountable before anyone relies on them.
A platform this deeply connected to core systems also deserves scrutiny of its own data terms and security documentation before the connectors go live.
Compares
| vs | Pick Secureframe when | Pick the other when |
|---|---|---|
| DrataFull comparison → | Secureframe automates the work itself, generating remediation code, validating evidence files and producing System Security Plans for the CMMC lane its rivals do not lead with | the priority is agentic breadth across governance and third-party risk rather than a federal pathway |
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What is Secureframe best at?
Secureframe is strongest for continuous compliance monitoring across SOC 2, ISO 27001, HIPAA, PCI DSS and CMMC 2.0; CMMC certification for defence contractors through Secureframe Defense; AI-drafted policies, risk assessments and questionnaire answers for human review; infrastructure-as-code remediation for failing controls; evidence validation that flags gaps before auditors do.
What is Secureframe not good for?
Secureframe is a quote-based enterprise purchase with no door below a sales conversation, so teams hoping to trial compliance automation this afternoon are outside the shape. Organisations without a compliance owner to run the programme will find it automates work nobody is accountable for. It automates the programme, not the attestation: certifications such as SOC 2 and ISO 27001, and CMMC assessments, still require an independent human auditor or certified assessor, and Secureframe does not replace the audit or the accountable officer. AI-drafted policies, questionnaire answers, risk assessments and auto-generated remediation code need review by someone qualified to stand behind them before they reach auditors, regulators or customers. And because the platform connects to cloud infrastructure, identity and HR systems, scrutinise its own data terms, security documentation and trust posture before connecting core systems, the same scrutiny it helps you apply to your own vendors.
Is Secureframe free?
No: Secureframe is enterprise software, priced per organisation.
Where does Secureframe fit best?
Secureframe fits best in Legal & compliance and Operations; see its practice notes for how.
Before sharing confidential or personal data, check this tool's data-governance and training policies. They differ between providers and can change.
Last checked: July 2026