Stop treating compliance as an annual fire drill. Map controls once, monitor continuously, and stay audit-ready across ISO 27001, SOC2 Type II, GDPR, DPDP Act 2023, and PCI-DSS — simultaneously.
Enter your domain and select a framework — get an instant, real compliance gap analysis with control scoring, critical gaps, and a remediation roadmap.
One control library, mapped to every framework your auditors and regulators require.
From evidence automation to audit-day readiness, built for security teams that don't have a dedicated GRC department.
Controls are checked continuously against live infrastructure state, not assessed once a year. Drift is flagged the moment a control falls out of compliance.
Real-Time Control StateScreenshots, configuration exports, access logs, and policy attestations are collected automatically and timestamped — no more manual evidence chasing before audits.
Auto-Collected EvidenceA single implemented control (e.g., MFA enforcement) is mapped to its equivalent requirement in ISO 27001, SOC2, PCI-DSS, and DPDP Act simultaneously.
Map Once, Reuse EverywhereA live percentage score per framework, broken down by control domain, showing exactly which controls are implemented, partial, or missing.
Live ScorecardsGenerate auditor-facing evidence packages on demand — control narratives, evidence artifacts, and gap remediation status in exportable format.
One-Click Audit PackExpress control requirements as policy-as-code checks against infrastructure and application configuration — version-controlled, testable, and CI/CD-integrated.
Git-Versioned PoliciesFor decades, compliance meant a once-a-year scramble: weeks of screenshot collection, spreadsheet control mapping, and last-minute remediation before an auditor's visit. That model was tolerable when infrastructure changed slowly. It breaks down completely in environments where cloud configuration, code deployments, and access permissions change dozens of times a day. A control that passed in March can silently drift out of compliance by April — and nobody finds out until the next audit cycle, often after a breach has already occurred.
A point-in-time audit captures a single snapshot of control effectiveness. It tells you whether MFA was enforced on the day the auditor checked — not whether it stayed enforced for the other 364 days of the year. Continuous compliance inverts this model: every control is checked against live system state on an ongoing basis, and any deviation triggers an alert immediately. This is the difference between a fire drill and a smoke detector. Regulators and frameworks are increasingly aligned with this shift — SOC2 Type II already requires evidence over an observation window rather than a single point, and ISO 27001:2022's emphasis on continual improvement (Clause 10) implicitly demands ongoing control verification rather than annual review.
The single largest time sink in any compliance program is evidence collection — pulling access control lists, exporting firewall configurations, capturing screenshots of security settings, and chasing down policy sign-offs from busy stakeholders. Manual evidence collection is not only slow, it's unreliable: evidence gathered in a rush before an audit often reflects a hastily corrected state rather than steady-state operations. Automated evidence collection captures artifacts continuously and timestamps them at the moment of capture, producing a defensible audit trail that shows sustained compliance rather than a last-minute scramble. This is particularly critical for SOC2 Type II, where auditors specifically test whether controls operated effectively throughout the entire review period, not just at its end.
Most mid-size and enterprise organizations are not subject to a single compliance framework — they're juggling several simultaneously. A SaaS company selling into enterprise accounts needs SOC2 Type II for procurement, GDPR for European customers, DPDP Act 2023 for Indian operations, and possibly PCI-DSS if they touch payment card data. The underlying security controls overlap heavily: encryption at rest, access logging, incident response procedures, and vendor risk management appear in nearly every framework, just with different terminology and evidence requirements. A unified control library maps each implemented control to its corresponding requirement across all applicable frameworks, so a single piece of evidence — say, an encryption configuration export — satisfies ISO 27001 A.8.24, SOC2 CC6.1, PCI-DSS Requirement 3, and DPDP Act's reasonable security safeguards obligation all at once. This eliminates the duplicate work of maintaining parallel, framework-specific evidence trails.
India's Digital Personal Data Protection Act 2023 introduces obligations that many organizations have not yet operationalized: appointing a Data Protection Officer for significant data fiduciaries, implementing verifiable parental consent for processing children's data, honoring data principal rights (access, correction, erasure) within defined timelines, and reporting personal data breaches to the Data Protection Board within 72 hours of discovery. Cross-border data transfer is restricted to jurisdictions not explicitly blacklisted by the central government — a model distinct from GDPR's adequacy-decision approach. Organizations that have built GDPR compliance programs have a head start structurally, but DPDP's specific consent-management and breach-notification mechanics require dedicated control implementation, not a reused GDPR template.
PCI-DSS v4.0 places heavier emphasis on continuous monitoring than its predecessors — customized implementation approaches, more frequent vulnerability scanning cadences, and explicit requirements for monitoring scope changes to the cardholder data environment (CDE) in near-real-time. Organizations that scope their CDE once a year and assume it remains static are exposed: a new microservice, a forgotten test environment with live card data, or an overlooked third-party integration can silently expand PCI scope without anyone updating the compliance boundary. Continuous asset discovery — tying back to attack surface management — is now a practical prerequisite for accurate PCI-DSS scoping.
The goal of a mature compliance program is not to pass an audit — it's to be permanently audit-ready, such that an auditor could show up unannounced and find every control operating as documented. This requires evidence collection that runs continuously in the background, control owners who are notified the moment something drifts, and a single source of truth for control status that doesn't require weeks of preparation to assemble. Organizations that reach this state spend dramatically less time on audit logistics and dramatically more time on actual risk reduction — because the compliance program stops competing with security engineering for the same limited hours.
The most durable way to keep controls continuously enforced is to express them as code: policy checks that run against infrastructure-as-code templates, CI/CD pipelines, and live cloud configuration via API. A rule like "all S3 buckets must have public access blocked" or "all production databases must have encryption at rest enabled" can be written once, version-controlled in git alongside the infrastructure it governs, and enforced automatically on every deployment — catching violations before they reach production rather than discovering them during the next audit cycle. This approach also produces a built-in audit trail: every policy change, exception, and enforcement action is logged in version control history, exactly the kind of evidence auditors want to see.
The practical starting point for any multi-framework compliance program is building a control library that abstracts away framework-specific language and focuses on the underlying security outcome. Instead of maintaining five separate spreadsheets — one per framework — each with its own terminology for "access control" or "encryption," a unified library defines a single control ("all production data encrypted at rest using industry-standard algorithms") and then maps that one control to ISO 27001 Annex A.8.24, SOC2 CC6.1, GDPR Article 32, DPDP Act's reasonable security safeguards, and PCI-DSS Requirement 3 simultaneously. Building this mapping is a one-time investment that pays continuous dividends: every new piece of evidence collected against the control automatically satisfies five audit requirements instead of one, and every control gap identified is immediately visible across every framework it touches rather than requiring separate gap assessments per framework.
A control without a named owner is a control that will drift. Compliance programs that scale beyond a handful of controls require explicit ownership assignment — a specific person or team accountable for ensuring a given control remains implemented, responding to drift alerts, and providing context during audits. This ownership model should be embedded directly into the compliance platform rather than tracked in a separate spreadsheet, so that when a control falls out of compliance, the alert routes automatically to the person who can actually fix it rather than landing in a generic compliance inbox that takes days to triage. Mature programs also track control owner response time as an internal metric, surfacing accountability gaps before they become audit findings.
Not every control can be implemented exactly as a framework prescribes, and frameworks generally accommodate this through compensating controls — alternative measures that achieve an equivalent risk reduction when the primary control isn't feasible. For example, PCI-DSS allows compensating controls when network segmentation can't be fully implemented for a legacy system, provided additional monitoring and access restrictions offset the risk. A mature compliance platform tracks these exceptions explicitly: what was the original control requirement, what compensating measure was implemented instead, who approved the exception, and when is it scheduled for review. Auditors specifically look for this kind of documented, time-bound exception handling — an undocumented gap looks identical to negligence, while a documented compensating control with a review date demonstrates a functioning risk management process.
Different stakeholders need fundamentally different views of the same underlying compliance data. An external SOC2 auditor needs granular evidence mapped precisely to Trust Services Criteria control points. A customer's vendor security questionnaire needs a simplified yes/no control attestation. A board needs a single compliance posture percentage trended over time. Rather than manually reformatting the same underlying data for each audience — a process that introduces both delay and transcription error — a unified compliance platform should generate all three views from the same source of truth, ensuring the SOC2 evidence pack, the customer-facing attestation, and the board dashboard never contradict each other because they're all derived from the same live control state.
Regulatory penalties are the most visible consequence of compliance failure, but rarely the most damaging in practice. GDPR and DPDP Act fines, PCI-DSS non-compliance penalties, and lost SOC2 certifications carry direct financial cost, but the secondary consequences are often larger: lost enterprise deals that required a current SOC2 report as a procurement gate, customer churn following a publicly disclosed compliance lapse, and the engineering time diverted to emergency remediation instead of planned roadmap work. Organizations that treat compliance purely as a cost center to be minimized consistently underestimate these secondary costs, while organizations that treat continuous compliance as a competitive differentiator — being able to hand a prospective enterprise customer a current, evidence-backed compliance posture on demand — convert compliance investment directly into sales velocity.
Drift detection requires defining, for every control, what "compliant state" actually looks like in machine-checkable terms — not a narrative policy statement but a specific, verifiable condition: MFA enabled for 100% of privileged accounts, encryption enabled on 100% of production data stores, access reviews completed within the last 90 days for every system handling regulated data. Once defined this way, drift detection becomes a continuous query against live system state rather than a periodic manual check. The practical payoff is early warning: a newly provisioned database without encryption enabled, or a privileged account created without MFA, is flagged within hours rather than discovered six months later during the next audit cycle, by which point the exposure window has already passed.
Even with continuous compliance monitoring in place, formal audits still require structured engagement with external auditors — providing access to evidence, answering control narrative questions, and walking through sample testing of specific controls. The organizations that handle this most smoothly are the ones where the evidence auditors request already exists in collected, timestamped form rather than needing to be generated under audit-week time pressure. A well-prepared compliance program treats the audit itself as a verification step on top of continuously maintained evidence, not as the trigger that initiates evidence collection — this distinction is what separates a stressful, scrambling audit experience from a routine, low-friction one.
A five-person startup pursuing its first SOC2 report and a thousand-person enterprise juggling five simultaneous frameworks face fundamentally different compliance challenges, even though the underlying control requirements overlap substantially. Early-stage organizations need a fast path to baseline certification with minimal process overhead, while larger organizations need the cross-framework control mapping, multi-tenant evidence segregation, and automated drift detection described throughout this page to keep pace with their scale. A compliance platform built to scale with the organization — rather than requiring a wholesale tooling replacement at each growth stage — avoids the disruptive re-platforming that often accompanies compliance program maturity, where an organization that started with spreadsheets is forced into an expensive, time-consuming migration to enterprise GRC tooling just as audit pressure is at its highest.
Compliance management on this platform connects directly to the same risk-prioritization engine used for attack surface management and vulnerability management — see Attack Surface Management for asset-level visibility, Vulnerability Management for CVE-driven prioritization, and AI Governance for AI-specific regulatory frameworks like NIST AI RMF and ISO 42001.
Run a free security assessment and see how your current posture maps against ISO 27001, SOC2, GDPR, DPDP Act, and PCI-DSS controls.