{"id":24114,"date":"2026-08-18T07:26:29","date_gmt":"2026-08-18T07:26:29","guid":{"rendered":"https:\/\/engineerbabu.com\/blog\/?p=24114"},"modified":"2026-08-18T07:26:29","modified_gmt":"2026-08-18T07:26:29","slug":"compliance-automation-software-development","status":"publish","type":"post","link":"https:\/\/engineerbabu.com\/blog\/compliance-automation-software-development\/","title":{"rendered":"How to Build a Compliance Automation Platform, Policy Management, Risk Register, Audit Workflow, and Regulatory Reporting 2026"},"content":{"rendered":"

Compliance is among the fastest-growing cost centres in enterprise operations. Global regulatory spend exceeded <\/span>$270 billion in 2025<\/span><\/a>. The complexity is not just the number of regulations, it is the speed at which they change.<\/span><\/p>\n

SEBI amended 23 regulations in FY2025. RBI issued 47 circulars. EU’s DORA came into force.<\/span><\/p>\n

US SEC’s cybersecurity disclosure rules took effect. Every change requires a compliance team to review the impact, update internal policies, assign control ownership, and verify that the updated controls are operating effectively.<\/span><\/p>\n

Most compliance teams manage this through a combination of shared drives, email chains, and compliance calendars built in Excel. When an auditor asks “show me evidence that this control was operating effectively throughout the year,” the answer involves 3 days of hunting through email archives and shared folders.<\/span><\/p>\n

A compliance automation platform turns a reactive, manual process into a proactive, evidence-generating system, policies tracked, controls tested, risks monitored, and audit evidence assembled automatically.<\/span><\/p>\n

EngineerBabu<\/span><\/a> built enterprise technology for Adani Group, which operates in the most heavily regulated sectors in India: power, infrastructure, airports, ports, and <\/span>healthcare platforms<\/span><\/a> for Apollo Hospitals. CMMI Level 5. Google AI Accelerator 2024 Top 20. Contact: <\/span>mayank@engineerbabu.com<\/span><\/a><\/p>\n

\"\"<\/p>\n

What a Compliance Automation Platform Must Handle<\/b><\/h2>\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Function<\/b><\/td>\nModule<\/b><\/td>\n<\/tr>\n
Regulatory intelligence<\/span><\/td>\nTrack regulatory changes, SEBI, RBI, MCA, IRDAI, sectoral<\/span><\/td>\n<\/tr>\n
Policy management<\/span><\/td>\nPolicy library, versioning, approval, distribution, attestation<\/span><\/td>\n<\/tr>\n
Risk register<\/span><\/td>\nRisk identification, assessment, treatment, monitoring<\/span><\/td>\n<\/tr>\n
Control management<\/span><\/td>\nControls catalogue, ownership, testing schedule, evidence<\/span><\/td>\n<\/tr>\n
Compliance calendar<\/span><\/td>\nRegulatory filing deadlines, internal review dates<\/span><\/td>\n<\/tr>\n
Audit management<\/span><\/td>\nInternal audit, external audit, finding management<\/span><\/td>\n<\/tr>\n
Incident management<\/span><\/td>\nCompliance incidents, root cause, remediation<\/span><\/td>\n<\/tr>\n
Third-party risk<\/span><\/td>\nVendor compliance assessment, contract compliance<\/span><\/td>\n<\/tr>\n
Reporting<\/span><\/td>\nBoard compliance report, regulatory submissions, dashboards<\/span><\/td>\n<\/tr>\n
AI features<\/span><\/td>\nRegulatory change impact analysis, policy gap detection<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Module 1 – Regulatory Intelligence<\/b><\/h2>\n

The regulatory monitoring engine:<\/b><\/p>\n

The platform monitors regulatory sources on a scheduled basis, scraping and parsing updates from:<\/span><\/p>\n\n\n\n\n\n\n\n\n\n\n
Regulatory Body<\/b><\/td>\nMonitoring Source<\/b><\/td>\nAlert Trigger<\/b><\/td>\n<\/tr>\n
SEBI<\/span><\/td>\nsebi.gov.in circulars and amendments<\/span><\/td>\nNew circular issued<\/span><\/td>\n<\/tr>\n
RBI<\/span><\/td>\nrbi.org.in master circulars, press releases<\/span><\/td>\nNew direction\/circular<\/span><\/td>\n<\/tr>\n
MCA<\/span><\/td>\nmca.gov.in<\/span><\/td>\nCompanies Act amendment, new rules<\/span><\/td>\n<\/tr>\n
IRDAI<\/span><\/td>\nirdai.gov.in<\/span><\/td>\nNew regulations, circulars<\/span><\/td>\n<\/tr>\n
GSTN<\/span><\/td>\ngst.gov.in<\/span><\/td>\nGST law changes, notification<\/span><\/td>\n<\/tr>\n
IT Department<\/span><\/td>\nincometaxindia.gov.in<\/span><\/td>\nFinance Act amendments, CBDT circulars<\/span><\/td>\n<\/tr>\n
Industry-specific<\/span><\/td>\nFSSAI, CDSCO, MoEF, TRAI<\/span><\/td>\nSector-specific regulations<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

The AI impact analysis:<\/b><\/p>\n

When a new regulation is detected, the AI layer:<\/span><\/p>\n

    \n
  1. Extracts the key requirements from the regulatory text using LLM<\/span><\/li>\n
  2. Maps requirements against the company’s existing policies and controls<\/span><\/li>\n
  3. Identifies gaps, requirements in the new regulation not addressed in existing controls<\/span><\/li>\n
  4. Generates a structured impact summary: “This circular requires X, your current policy Y does not address Z”<\/span><\/li>\n
  5. Creates a remediation task for the responsible compliance officer<\/span><\/li>\n<\/ol>\n

    What previously took a compliance team 3 to 5 days of manual review is delivered as a structured gap analysis in under 2 hours.<\/span><\/p>\n

    \"\"<\/p>\n

    Module 2 – Policy Management<\/b><\/h2>\n

    Another crucial module in the compliance automation software development process is “Policy Management”.<\/p>\n

    The policy lifecycle:<\/b><\/p>\n\n\n\n\n\n\n\n\n\n\n
    Stage<\/b><\/td>\nAction<\/b><\/td>\nSystem<\/b><\/td>\n<\/tr>\n
    Draft<\/span><\/td>\nPolicy author writes new policy or update<\/span><\/td>\nVersion control, track changes<\/span><\/td>\n<\/tr>\n
    Review<\/span><\/td>\nSME and legal review<\/span><\/td>\nReview workflow, comment resolution<\/span><\/td>\n<\/tr>\n
    Approval<\/span><\/td>\nCompliance committee or board approves<\/span><\/td>\nDigital approval with e-signature<\/span><\/td>\n<\/tr>\n
    Publication<\/span><\/td>\nPolicy published to all relevant employees<\/span><\/td>\nRole-based distribution<\/span><\/td>\n<\/tr>\n
    Attestation<\/span><\/td>\nEmployees acknowledge they have read and understood<\/span><\/td>\nAttestation tracking<\/span><\/td>\n<\/tr>\n
    Periodic review<\/span><\/td>\nPolicy reviewed at scheduled interval<\/span><\/td>\nReview reminder, recertification<\/span><\/td>\n<\/tr>\n
    Retirement<\/span><\/td>\nSuperseded policy archived<\/span><\/td>\nArchive with effective-to date<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

    The policy library:<\/b><\/p>\n

    Every policy in the library has:<\/span><\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
    Field<\/b><\/td>\nDetails<\/b><\/td>\n<\/tr>\n
    Policy ID<\/span><\/td>\nUnique identifier<\/span><\/td>\n<\/tr>\n
    Policy title<\/span><\/td>\n<\/td>\n<\/tr>\n
    Category<\/span><\/td>\nHR \/ IT Security \/ Financial \/ Operational \/ Regulatory<\/span><\/td>\n<\/tr>\n
    Version<\/span><\/td>\nCurrent version number<\/span><\/td>\n<\/tr>\n
    Effective date<\/span><\/td>\nWhen this version became current<\/span><\/td>\n<\/tr>\n
    Review date<\/span><\/td>\nWhen this version must next be reviewed<\/span><\/td>\n<\/tr>\n
    Owner<\/span><\/td>\nResponsible department or individual<\/span><\/td>\n<\/tr>\n
    Applicable to<\/span><\/td>\nWhich employees, locations, or business units<\/span><\/td>\n<\/tr>\n
    Linked regulations<\/span><\/td>\nWhich regulations this policy addresses<\/span><\/td>\n<\/tr>\n
    Linked controls<\/span><\/td>\nWhich controls implement this policy<\/span><\/td>\n<\/tr>\n
    Attestation rate<\/span><\/td>\n% of required employees who have acknowledged<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

    The attestation engine:<\/b><\/p>\n

    When a policy is published or significantly updated, the attestation engine identifies all employees who must acknowledge it based on the policy’s applicability rules.<\/span><\/p>\n

    It sends notification sequences, day 1, day 7, day 14, and escalates to managers when their team members have not attested by the deadline.<\/span><\/p>\n

    The attestation record, who acknowledged which version of which policy on which date, is the primary evidence of policy communication in an audit.<\/span><\/p>\n

    Module 3 – Risk Register and Risk Management<\/b><\/h2>\n

    The risk register structure:<\/b><\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
    Field<\/b><\/td>\nDetails<\/b><\/td>\n<\/tr>\n
    Risk ID<\/span><\/td>\nUnique identifier<\/span><\/td>\n<\/tr>\n
    Risk description<\/span><\/td>\nClear statement of what could go wrong<\/span><\/td>\n<\/tr>\n
    Risk category<\/span><\/td>\nOperational \/ Financial \/ Compliance \/ Cyber \/ Reputational<\/span><\/td>\n<\/tr>\n
    Risk owner<\/span><\/td>\nIndividual responsible for managing the risk<\/span><\/td>\n<\/tr>\n
    Inherent likelihood<\/span><\/td>\nProbability before controls (1\u20135)<\/span><\/td>\n<\/tr>\n
    Inherent impact<\/span><\/td>\nConsequence if materialised (1\u20135)<\/span><\/td>\n<\/tr>\n
    Inherent risk score<\/span><\/td>\nLikelihood \u00d7 Impact<\/span><\/td>\n<\/tr>\n
    Current controls<\/span><\/td>\nControls reducing this risk<\/span><\/td>\n<\/tr>\n
    Residual likelihood<\/span><\/td>\nProbability with current controls<\/span><\/td>\n<\/tr>\n
    Residual impact<\/span><\/td>\nConsequence with current controls<\/span><\/td>\n<\/tr>\n
    Residual risk score<\/span><\/td>\nResidual likelihood \u00d7 Residual impact<\/span><\/td>\n<\/tr>\n
    Risk appetite<\/span><\/td>\nIs residual risk within the company’s tolerance?<\/span><\/td>\n<\/tr>\n
    Treatment plan<\/span><\/td>\nAdditional actions to reduce risk further<\/span><\/td>\n<\/tr>\n
    Review date<\/span><\/td>\nWhen to reassess<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

    The risk heat map:<\/b><\/p>\n

    The risk heat map visualises all registered risks on a likelihood \u00d7 impact matrix, colour-coded by residual risk level. The board and audit committee view this heat map to understand the company’s risk profile at a glance.<\/span><\/p>\n

    Risks above the risk appetite line, high residual risk despite current controls, are the ones requiring management attention and resource allocation.<\/span><\/p>\n

    Module 4 – Control Management<\/b><\/h2>\n

    The controls catalogue:<\/b><\/p>\n

    A control is a specific action, process, or system that mitigates a risk. Controls are either preventive (prevent the risk from materialising) or detective (identify when it has materialised).<\/span><\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
    Control Element<\/b><\/td>\nDetails<\/b><\/td>\n<\/tr>\n
    Control ID<\/span><\/td>\n<\/td>\n<\/tr>\n
    Control description<\/span><\/td>\nSpecific action taken to address the risk<\/span><\/td>\n<\/tr>\n
    Control type<\/span><\/td>\nPreventive \/ Detective<\/span><\/td>\n<\/tr>\n
    Control category<\/span><\/td>\nManual \/ Automated \/ Semi-automated<\/span><\/td>\n<\/tr>\n
    Control owner<\/span><\/td>\nResponsible individual<\/span><\/td>\n<\/tr>\n
    Control frequency<\/span><\/td>\nContinuous \/ Daily \/ Weekly \/ Monthly \/ Quarterly \/ Annual<\/span><\/td>\n<\/tr>\n
    Test type<\/span><\/td>\nInspection, observation, re-performance, inquiry<\/span><\/td>\n<\/tr>\n
    Last test date<\/span><\/td>\n<\/td>\n<\/tr>\n
    Test result<\/span><\/td>\nEffective \/ Ineffective<\/span><\/td>\n<\/tr>\n
    Linked risks<\/span><\/td>\nWhich risks this control addresses<\/span><\/td>\n<\/tr>\n
    Linked policies<\/span><\/td>\nWhich policies mandate this control<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

    The control testing calendar:<\/b><\/p>\n

    The platform generates a testing calendar for all controls, showing which controls need to be tested in each period. Control testers receive assignments with:<\/span><\/p>\n\n\n\n\n\n\n\n\n
    Assignment Element<\/b><\/td>\nDetails<\/b><\/td>\n<\/tr>\n
    Control to test<\/span><\/td>\nSpecific control from the catalogue<\/span><\/td>\n<\/tr>\n
    Testing instructions<\/span><\/td>\nStep-by-step testing procedure<\/span><\/td>\n<\/tr>\n
    Evidence required<\/span><\/td>\nWhat evidence must be collected<\/span><\/td>\n<\/tr>\n
    Due date<\/span><\/td>\nTesting deadline<\/span><\/td>\n<\/tr>\n
    Sampling guidance<\/span><\/td>\nFor periodic controls, how many samples to review<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

    Automated control testing:<\/b><\/p>\n

    For IT controls, system access controls, change management controls, automated report generation controls, the platform integrates with the relevant IT system to pull evidence automatically.<\/span><\/p>\n

    Access review evidence is pulled from the identity management system. Automated report generation controls are verified by comparing the report output against expected parameters.<\/span><\/p>\n

    This eliminates the manual evidence collection step for a significant portion of IT controls.<\/span><\/p>\n

    \"\"<\/p>\n

    Module 5 – Audit Management<\/b><\/h2>\n

    The audit lifecycle:<\/b><\/p>\n\n\n\n\n\n\n\n\n\n\n
    Stage<\/b><\/td>\nAction<\/b><\/td>\nTimeline<\/b><\/td>\n<\/tr>\n
    Audit planning<\/span><\/td>\nScope, objectives, risk areas, audit team<\/span><\/td>\n4 weeks before<\/span><\/td>\n<\/tr>\n
    Pre-audit preparation<\/span><\/td>\nProvide pre-audit documentation to auditors<\/span><\/td>\n1 week before<\/span><\/td>\n<\/tr>\n
    Fieldwork<\/span><\/td>\nAuditor interviews, testing, evidence review<\/span><\/td>\nDuring audit<\/span><\/td>\n<\/tr>\n
    Draft findings<\/span><\/td>\nAuditors share draft findings for management response<\/span><\/td>\n2 weeks after fieldwork<\/span><\/td>\n<\/tr>\n
    Management response<\/span><\/td>\nControl owners respond with remediation plans<\/span><\/td>\n1 week after draft<\/span><\/td>\n<\/tr>\n
    Final report<\/span><\/td>\nFindings, management responses, audit opinion published<\/span><\/td>\n2 weeks after responses<\/span><\/td>\n<\/tr>\n
    Finding management<\/span><\/td>\nRemediation tracked to closure<\/span><\/td>\nPer agreed timeline<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

    The finding management module:<\/b><\/p>\n

    Every audit finding is tracked from identification to closure:<\/span><\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n
    Field<\/b><\/td>\nDetails<\/b><\/td>\n<\/tr>\n
    Finding ID<\/span><\/td>\n<\/td>\n<\/tr>\n
    Finding description<\/span><\/td>\nWhat was observed<\/span><\/td>\n<\/tr>\n
    Root cause<\/span><\/td>\nWhy the control failed<\/span><\/td>\n<\/tr>\n
    Severity<\/span><\/td>\nCritical \/ High \/ Medium \/ Low<\/span><\/td>\n<\/tr>\n
    Assigned to<\/span><\/td>\nResponsible control owner<\/span><\/td>\n<\/tr>\n
    Due date<\/span><\/td>\nCommitted remediation date<\/span><\/td>\n<\/tr>\n
    Status<\/span><\/td>\nOpen \/ In progress \/ Pending verification \/ Closed<\/span><\/td>\n<\/tr>\n
    Evidence of closure<\/span><\/td>\nUploaded evidence that the finding was remediated<\/span><\/td>\n<\/tr>\n
    Verified by<\/span><\/td>\nInternal audit or external auditor verification<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

    \"\"<\/p>\n

    Module 6 – AI Compliance Features<\/b><\/h2>\n

    AI policy gap detection:<\/b><\/p>\n

    When a new regulation is ingested, the <\/span>AI development<\/span><\/a> runs a semantic comparison between the regulation’s requirements and the existing policy library, identifying which requirements are not addressed in any current policy and generating a gap report.<\/span><\/p>\n

    AI audit finding pattern analysis:<\/b><\/p>\n

    Over multiple audit cycles, the AI identifies patterns in recurring findings, the same control consistently fails, the same business unit consistently produces audit issues, and surfaces these patterns to the Chief Risk Officer.<\/span><\/p>\n

    AI regulatory change impact scoring:<\/b><\/p>\n

    Not all regulatory changes have equal impact. The AI scores each regulatory change on its estimated impact on the company’s existing control environment, high-impact changes (new disclosure requirements, new capital adequacy rules) are prioritised for immediate compliance officer attention over low-impact changes (clarifications to existing rules).<\/span><\/p>\n

    Compliance chatbot:<\/b><\/p>\n

    Employees can ask compliance questions in plain language, “Can I accept a gift from a vendor?”, “What is our data retention policy for customer records?”, “Do I need to declare my shareholding in X company?”, and receive policy-referenced answers instantly. This reduces the compliance team’s query load by 40 to 60%.<\/span><\/p>\n

    \"\"<\/p>\n

    Build Cost<\/b><\/h2>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
    Module<\/b><\/td>\nCost Range (USD)<\/b><\/td>\nNotes<\/b><\/td>\n<\/tr>\n
    Regulatory intelligence + change monitoring<\/span><\/td>\n$8K \u2013 $15K<\/span><\/td>\nWeb scraping + NLP parsing<\/span><\/td>\n<\/tr>\n
    AI impact analysis (LLM-powered)<\/span><\/td>\n$8K \u2013 $15K<\/span><\/td>\nGap analysis against policy library<\/span><\/td>\n<\/tr>\n
    Policy management + version control<\/span><\/td>\n$6K \u2013 $12K<\/span><\/td>\n<\/td>\n<\/tr>\n
    Policy attestation engine<\/span><\/td>\n$5K \u2013 $10K<\/span><\/td>\n<\/td>\n<\/tr>\n
    Risk register + heat map<\/span><\/td>\n$8K \u2013 $15K<\/span><\/td>\n<\/td>\n<\/tr>\n
    Controls catalogue + testing<\/span><\/td>\n$8K \u2013 $15K<\/span><\/td>\n<\/td>\n<\/tr>\n
    Automated IT control evidence collection<\/span><\/td>\n$6K \u2013 $12K<\/span><\/td>\nSystem integrations<\/span><\/td>\n<\/tr>\n
    Compliance calendar + deadline tracking<\/span><\/td>\n$4K \u2013 $8K<\/span><\/td>\n<\/td>\n<\/tr>\n
    Audit management + finding tracker<\/span><\/td>\n$8K \u2013 $15K<\/span><\/td>\n<\/td>\n<\/tr>\n
    Third-party risk assessment<\/span><\/td>\n$5K \u2013 $10K<\/span><\/td>\nVendor compliance module<\/span><\/td>\n<\/tr>\n
    Compliance chatbot (LLM)<\/span><\/td>\n$6K \u2013 $12K<\/span><\/td>\n<\/td>\n<\/tr>\n
    Board and management reporting<\/span><\/td>\n$5K \u2013 $10K<\/span><\/td>\n<\/td>\n<\/tr>\n
    AWS + VAPT + Year 1 ops<\/span><\/td>\n$5K \u2013 $10K<\/span><\/td>\n<\/td>\n<\/tr>\n
    Total<\/b><\/td>\n$82K \u2013 $159K<\/b><\/td>\nFull compliance automation platform<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

    EngineerBabu built enterprise technology for Adani Group, operating in power, infrastructure, airports, and ports, India’s most heavily regulated sectors. CMMI Level 5. Google AI Accelerator 2024 Top 20. Contact: <\/span><\/i>mayank@engineerbabu.com<\/span><\/i><\/a><\/p>\n

    FAQs about Compliance Automation Software Development<\/b><\/h2>\n
      \n
    • \n

      What is a GRC platform and how is it different from a compliance management system?<\/b><\/h3>\n<\/li>\n<\/ul>\n

      GRC stands for Governance, Risk, and Compliance, a framework that integrates three related but distinct functions. Governance covers the structures and processes by which a company is directed and controlled, board oversight, policy management, and accountability frameworks. Risk management covers the identification, assessment, and treatment of risks that could prevent the company from achieving its objectives. Compliance covers adherence to external regulations and internal policies. A GRC platform is a software system that integrates all three functions in a shared data model, risks link to controls, controls link to policies, policies link to regulations, and audit findings link back to the control failures that generated them. A compliance management system is narrower, typically covering only the compliance function without the risk management and governance dimensions. For large enterprises operating in multiple regulated sectors, a GRC platform is necessary because the same control may address multiple risk categories and multiple regulatory requirements simultaneously, and managing these relationships in separate systems creates gaps.<\/span><\/p>\n

        \n
      • \n

        How does AI regulatory intelligence reduce compliance team workload?<\/b><\/h3>\n<\/li>\n<\/ul>\n

        AI regulatory intelligence reduces compliance team workload through three mechanisms. Monitoring automation: instead of a compliance analyst manually tracking 15 regulatory websites and reading every publication, the AI monitors all sources and surfaces only the changes that are potentially relevant to the company’s regulatory profile, typically reducing the reading load by 70 to 80%. Impact analysis: instead of a compliance analyst spending 2 to 3 days mapping a new regulation’s requirements against existing policies and controls, the AI produces a structured gap analysis in under 2 hours, which the analyst reviews and validates rather than creates. Prioritisation: the AI scores each regulatory change by estimated impact severity, allowing the compliance team to allocate their attention to the highest-priority changes first rather than processing everything chronologically. Together, these three mechanisms typically allow a compliance team to cover 30 to 40% more regulatory volume with the same headcount.<\/span><\/p>\n

          \n
        • \n

          What is control testing in compliance and how does a platform automate it?<\/b><\/h3>\n<\/li>\n<\/ul>\n

          Control testing is the process of verifying that a compliance control is operating effectively, that the process, system, or action designed to mitigate a specific risk is actually happening as intended and producing the expected risk-reducing outcome. A platform automates control testing in two ways. For manual controls, “the CFO reviews and approves all payments above \u20b910 lakh”, the platform prompts the control tester with a sampling guide, provides access to the evidence already collected in the system (payment approval records), and captures the testing outcome and evidence in a structured record. For automated IT controls, “access to the production database requires two-factor authentication”, the platform pulls evidence from the identity management system automatically, verifies that 2FA is enforced for all relevant access, and records the test result without any manual intervention. Automating IT control evidence collection typically reduces the effort for IT controls testing by 60 to 75%.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

          Compliance is among the fastest-growing cost centres in enterprise operations. Global regulatory spend exceeded $270 billion in 2025. The complexity is not just the number of regulations, it is the speed at which they change. SEBI amended 23 regulations in FY2025. RBI issued 47 circulars. EU’s DORA came into force. US SEC’s cybersecurity disclosure rules […]<\/p>\n","protected":false},"author":1,"featured_media":24115,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1271],"tags":[],"class_list":["post-24114","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-software-development"],"_links":{"self":[{"href":"https:\/\/engineerbabu.com\/blog\/wp-json\/wp\/v2\/posts\/24114","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/engineerbabu.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/engineerbabu.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/engineerbabu.com\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/engineerbabu.com\/blog\/wp-json\/wp\/v2\/comments?post=24114"}],"version-history":[{"count":3,"href":"https:\/\/engineerbabu.com\/blog\/wp-json\/wp\/v2\/posts\/24114\/revisions"}],"predecessor-version":[{"id":24123,"href":"https:\/\/engineerbabu.com\/blog\/wp-json\/wp\/v2\/posts\/24114\/revisions\/24123"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/engineerbabu.com\/blog\/wp-json\/wp\/v2\/media\/24115"}],"wp:attachment":[{"href":"https:\/\/engineerbabu.com\/blog\/wp-json\/wp\/v2\/media?parent=24114"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/engineerbabu.com\/blog\/wp-json\/wp\/v2\/categories?post=24114"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/engineerbabu.com\/blog\/wp-json\/wp\/v2\/tags?post=24114"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}