Compliance Training Management

Compliance isn’t choosing one framework, it’s understanding how they work together. Many organizations view SOC 2, ISO 27001, and GDPR as competing obligations, but the reality is far more integrated. SOC 2 validates data security controls for US-based service providers voluntary but expected by enterprise clients. ISO 27001 provides a globally recognized ISMS foundation with comprehensive risk management and continuous improvement. GDPR legally enforces personal data protection for EU citizens with significant financial penalties for non-compliance. The strategic advantage lies in their overlap: access controls, incident response, vendor risk management, encryption, and breach notification requirements align across all three. Organizations that map controls once and satisfy multiple frameworks simultaneously reduce audit fatigue while strengthening their overall security posture. Rather than treating compliance as separate silos, mature GRC programs build unified control environments that address shared requirements, turning regulatory burden into operational excellence. What’s your approach to managing overlapping compliance frameworks? #GRC #SOC2 #ISO27001 #GDPR #Compliance #InformationSecurity #DataProtection

How To Handle Sensitive Information in your next AI Project It's crucial to handle sensitive user information with care. Whether it's personal data, financial details, or health information, understanding how to protect and manage it is essential to maintain trust and comply with privacy regulations. Here are 5 best practices to follow: 1. Identify and Classify Sensitive Data Start by identifying the types of sensitive data your application handles, such as personally identifiable information (PII), sensitive personal information (SPI), and confidential data. Understand the specific legal requirements and privacy regulations that apply, such as GDPR or the California Consumer Privacy Act. 2. Minimize Data Exposure Only share the necessary information with AI endpoints. For PII, such as names, addresses, or social security numbers, consider redacting this information before making API calls, especially if the data could be linked to sensitive applications, like healthcare or financial services. 3. Avoid Sharing Highly Sensitive Information Never pass sensitive personal information, such as credit card numbers, passwords, or bank account details, through AI endpoints. Instead, use secure, dedicated channels for handling and processing such data to avoid unintended exposure or misuse. 4. Implement Data Anonymization When dealing with confidential information, like health conditions or legal matters, ensure that the data cannot be traced back to an individual. Anonymize the data before using it with AI services to maintain user privacy and comply with legal standards. 5. Regularly Review and Update Privacy Practices Data privacy is a dynamic field with evolving laws and best practices. To ensure continued compliance and protection of user data, regularly review your data handling processes, stay updated on relevant regulations, and adjust your practices as needed. Remember, safeguarding sensitive information is not just about compliance — it's about earning and keeping the trust of your users.

Do you think Data Governance: All Show, No Impact? → Polished policies ✓ → Fancy dashboards ✓ → Impressive jargon ✓ But here's the reality check: Most data governance initiatives look great in boardroom presentations yet fail to move the needle where it matters. The numbers don't lie. Poor data quality bleeds organizations dry—$12.9 million annually according to Gartner. Yet those who get governance right see 30% higher ROI by 2026. What's the difference? ❌It's not about the theater of governance. ✅It's about data engineers who embed governance principles directly into solution architectures, making data quality and compliance invisible infrastructure rather than visible overhead. Here’s a 6-step roadmap to build a resilient, secure, and transparent data foundation: 1️⃣ 𝗘𝘀𝘁𝗮𝗯𝗹𝗶𝘀𝗵 𝗥𝗼𝗹𝗲𝘀 & 𝗣𝗼𝗹𝗶𝗰𝗶𝗲𝘀 Define clear ownership, stewardship, and documentation standards. This sets the tone for accountability and consistency across teams. 2️⃣ 𝗔𝗰𝗰𝗲𝘀𝘀 𝗖𝗼𝗻𝘁𝗿𝗼𝗹 & 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 Implement role-based access, encryption, and audit trails. Stay compliant with GDPR/CCPA and protect sensitive data from misuse. 3️⃣ 𝗗𝗮𝘁𝗮 𝗜𝗻𝘃𝗲𝗻𝘁𝗼𝗿𝘆 & 𝗖𝗹𝗮𝘀𝘀𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 Catalog all data assets. Tag them by sensitivity, usage, and business domain. Visibility is the first step to control. 4️⃣ 𝗠𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴 & 𝗗𝗮𝘁𝗮 𝗤𝘂𝗮𝗹𝗶𝘁𝘆 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸 Set up automated checks for freshness, completeness, and accuracy. Use tools like dbt tests, Great Expectations, and Monte Carlo to catch issues early. 5️⃣ 𝗟𝗶𝗻𝗲𝗮𝗴𝗲 & 𝗜𝗺𝗽𝗮𝗰𝘁 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀 Track data flow from source to dashboard. When something breaks, know what’s affected and who needs to be informed. 6️⃣ 𝗦𝗟𝗔 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁 & 𝗥𝗲𝗽𝗼𝗿𝘁𝗶𝗻𝗴 Define SLAs for critical pipelines. Build dashboards that report uptime, latency, and failure rates—because business cares about reliability, not tech jargon. With the rising AI innovations, it's important to emphasise the governance aspects data engineers need to implement for robust data management. Do not underestimate the power of Data Quality and Validation by adapting: ↳ Automated data quality checks ↳ Schema validation frameworks ↳ Data lineage tracking ↳ Data quality SLAs ↳ Monitoring & alerting setup While it's equally important to consider the following Data Security & Privacy aspects: ↳ Threat Modeling ↳ Encryption Strategies ↳ Access Control ↳ Privacy by Design ↳ Compliance Expertise Some incredible folks to follow in this area - Chad Sanderson George Firican 🎯 Mark Freeman II Piotr Czarnas Dylan Anderson Who else would you like to add? ▶️ Stay tuned with me (Pooja) for more on Data Engineering. ♻️ Reshare if this resonates with you!

A viral image of an ATM in Ludhiana recently caught my attention - a dangerously steep ramp ending abruptly at a glass door, with a staircase running alongside that leads nowhere. A perfect reminder of a hard-earned lesson in fintech: "Compliance isn’t just a checkbox." Product Managers: You don't want to miss saving 💾 this post for your future reference. This ramp was technically "compliant" - yes, there was a wheelchair access ramp. But it completely missed the purpose of accessibility. People had angry comments on social media about the apathy with which wheelchair-bound customers were treated and how the bank had made a mockery of accessibility. No amount of regulation can account for 'compliance as a checkbox' implementations that are designed to meet the regulation but not serve their intended purpose. It's the same trap I've seen countless fintech products fall into - implementing regulations as mere checkboxes rather than embracing them as design principles. I've experienced regulatory hurdles umpteen times in product launches; in fact, I've never experienced a straightforward implementation that hasn't hit a regulatory roadblock. BUT I can say this confidently: Compliance-first design is the secret sauce that makes the battle easier and less arduous, and inarguably 'faster' IF You just stick to the first principles of building this into your product strategy from day one . Regulations can either slow you down or become your competitive edge. To make compliance your strategic advantage, here's my 3-step playbook: 1/ Design Integration: Make regulatory adherence a natural part of the user experience rather than an afterthought ↳Embed compliance requirements into your initial product design ↳Get feedback from legal and compliance teams, and even the regulator if needed ↳Validate, Test, Iterate, Repeat 2/ Cross-Functional Collaboration: Build bridges between product, legal/compliance teams from day one ↳Involve them early ↳Make compliance & legal stakeholders brainstorm and provide feedback ↳Balance innovation with regulatory requirements using case studies and data to back up assertions instead of getting into crosshairs with them 3/ Validate Early, Validate Often: ↳Test with real scenarios ↳Get early feedback from regulators ↳Regular compliance assessments, no matter what stage of development you are in One golden tip - document everything, err on the side of caution when it comes to building and fostering trust with legal and compliance counterparts. The lesson in one line? Build WITH compliance, not around it. Instead of working around regulations, let's build with them. Because when you design within the right guardrails, innovation doesn't just survive—it scales. What's your strategy for managing fintech compliance? Share below. 👍 LIKE this post, 🔄 REPOST this to your network and follow me, Monica Jasuja

The DOJ consistently says that compliance programs should be effective, data-driven, and focused on whether employees are actually learning. Yet... The standard training "data" is literally just completion data! Imagine if I asked a revenue leader how their sales team was doing and the leader said, "100% of our sales reps came to work today." I'd be furious! How can I assess effectiveness if all I have is an attendance list? Compliance leaders I chat with want to move to a data-driven approach but change management is hard, especially with clunky tech. Plus, it's tricky to know where to start– you often can't go from 0 to 60 in a quarter. In case this serves as inspiration, here are a few things Ethena customers are doing to make their compliance programs data-driven and learning-focused: 1. Employee-driven learning: One customer is asking, at the beginning of their code of conduct training, "Which topic do you want to learn more about?" and then offering a list. Employees get different training based on their selection...and no, "No training pls!" is not an option. The compliance team gets to see what issues are top of mind and then they can focus on those topics throughout the year. 2. Targeted training: Another customer is asking, "How confident are you raising bribery concerns in your team," and then analyzing the data based on department and country. They've identified the top 10 teams they are focusing their ABAC training and communications on, because prioritization is key. You don't need to move from the traditional, completion-focused model to a data-driven program all at once. But take incremental steps to layer on data that surfaces risks and lets you prioritize your efforts. And your vendor should be your thought partner, not the obstacle, in this journey! I've seen Ethena's team work magic in terms of navigating concerns like PII and LMS limitations – it can be done!

5 Operational Metrics to Check if Your GRC Program isn't Compliance Theatre Everyone has a GRC program that looks great 3 weeks per year. That works for some time but once your program is out of the honeymoon phase, you need to do something about it. Here are 5 hard metrics to help you separate real GRC programs from compliance theatre: 1. Mean Time to Remediation (MTTR) 📉 Not just how many findings you have, but how fast they get FIXED. If your average remediation time is measured in geological eras instead of days, you've built a museum of vulnerabilities, not a security program. "We'll fix it after this sprint" shouldn't mean "after the heat death of the universe." 2. Cross-Team NPS Score 📊 Ask engineering, product and sales teams: "On a scale of 1-10, how much does GRC help vs. hinder your work?" If your score is close to Arctic temperatures, congratulations – you've created a program that engineers actively avoid like security awareness training from 2023. 3. Evidence Collection Automation Percentage 🤖 What percentage of your evidence is collected through APIs vs. screenshots? If you're still sending "friendly reminders" for screenshots in 2025, you're operating a digital paperwork sweatshop with slightly better coffee. 4. Risk-to-Remediation Ratio 📈 How many risks in your register have actually resulted in implemented fixes vs. eternal "monitoring until next review"? If your risk acceptance rate matches your deployment frequency, you're running an expensive vulnerability documentation service. 5. Random Audit Readiness Score 🎯 Give yourself 24 hours to produce evidence for 10 random controls without warning. Score from 0-100%. If your score is perfect during scheduled audits but drops faster than the stock market today after a random check, you've mastered compliance theatre, not security. A GRC program can have perfect documentation and still provide very limited security value. What must-have GRC metrics do YOU use to ensure your program delivers more than just paperwork? Let me know! #GRCEngineering #SecurityCompliance #MetricsThatMatter

Security has defense in depth. Compliance needs the same approach. Most compliance programs are too shallow. A single audit, a policy document, or a point-in-time check. That’s not enough. Instead, we need Compliance in Depth, a layered approach where: - Controls are embedded at every stage of business processes. - Automated evidence replaces manual checklists. - Redundancy ensures compliance doesn’t break when one control fails. - Continuous monitoring makes compliance real-time, not retrospective. Compliance should adapt and scale like security does. The companies that get this right will lead the future of trust and assurance. #GRC

As a lawyer who often dives deep into the world of data privacy, I want to delve into three critical aspects of data protection: A) Data Privacy This fundamental right has become increasingly crucial in our data-driven world. Key features include: -Consent and transparency: Organizations must clearly communicate how they collect, use, and share personal data. This often involves detailed privacy policies and consent mechanisms. -Data minimization: Companies should only collect data that's necessary for their stated purposes. This principle not only reduces risk but also simplifies compliance efforts. -Rights of data subjects: Under regulations like GDPR, individuals have rights such as access, rectification, erasure, and data portability. Organizations need robust processes to handle these requests. -Cross-border data transfers: With the invalidation of Privacy Shield and complexities around Standard Contractual Clauses, ensuring compliant data flows across borders requires careful legal navigation. B) Data Processing Agreements (DPAs) These contracts govern the relationship between data controllers and processors, ensuring regulatory compliance. They should include: -Scope of processing: DPAs must clearly define the types of data being processed and the specific purposes for which processing is allowed. -Subprocessor management: Controllers typically require the right to approve or object to any subprocessors, with processors obligated to flow down DPA requirements. -Data breach protocols: DPAs should specify timeframes for breach notification (often 24-72 hours) and outline the required content of such notifications, -Audit rights: Most DPAs now include provisions for audits and/or acceptance of third-party certifications like SOC II Type II or ISO 27001. C) Data Security These measures include: -Technical measures: This could involve encryption (both at rest and in transit), multi-factor authentication, and regular penetration testing. -Organizational measures: Beyond technical controls, this includes data protection impact assessments (DPIAs), appointing data protection officers where required, and maintaining records of processing activities. -Incident response plans: These should detail roles and responsibilities, communication protocols, and steps for containment, eradication, and recovery. -Regular assessments: This often involves annual security reviews, ongoing vulnerability scans, and updating security measures in response to evolving threats. These aren't just compliance checkboxes – they're the foundation of trust in the digital economy. They're the guardians of our digital identities, enabling the data-driven services we rely on while safeguarding our fundamental rights. Remember, in an era where data is often called the "new oil," knowledge of these concepts is critical for any organization handling personal data. #legaltech #innovation #law #business #learning

After implementing compliance programs for 2000+ companies, here's what we've learned: 42% of control failures trace back to documentation gaps. Should that matter?Absolutely! Here’s why:  1️⃣ It's a Productivity Black Hole: Compliance teams spend 40–60% of their time chasing documents instead of managing risk. 2️⃣ It Leads to Audit Gaps: Missing or outdated evidence leads to failed audits, escalations, and costly remediation.  3️⃣ It Hinders Business Agility: Manual processes delay M&A, funding rounds, and strategic deals. The Strategic Solution: Common Control Framework ✅ One Control Set for Multiple Standards -Map SOC 2, ISO 27001, HIPAA to unified controls (cut duplicate work) -Evidence collected once satisfies multiple requirements ✅ Automated Evidence Ecosystem -Direct integrations with AWS, GitHub, Okta auto-collect proof -System owners get smart reminders for human-verified items ✅ Executive Visibility -System data flows directly into compliance platforms -Centralized system eliminates version control issues The Bottom Line Impact Companies using this approach with Sprinto have: ✔️ Reduced audit prep time to weeks like Bizongo ✔️ Cut compliance costs by 50% like Makeforms ✔️ Eliminate last-minute fire drills The most innovative companies aren't just compliant – they've made compliance a competitive advantage. Where does your organization stand?

New law on preventing sexual harassment in the workplace: are you ready?   Starting from 26 October 2024, all UK employers will be legally required to take reasonable steps to prevent sexual harassment of their employees during the course of their employment. This is an amendment to the current Equality Act 2010, and it is wide-ranging, as it also includes contractors, self-employed people and job applicants. It’s specifically focused on sexual harassment (not other forms of harassment). So employers are expected to take steps to ensure the following kind of acts don’t happen within their workplace: •      Lewd or abusive comments, comments of a sexual nature such as regarding an individual’s appearance or body •      Unwelcome touching of a sexual nature •      Displaying sexually suggestive or sexually offensive writing or material •      Asking questions of a sexual nature •      Sexual propositions or advances In order to prevent this everywhere within your organisation, you’ll need to ensure there are a few things in place. So, for your organisation, here’s a checklist. Do you have in place…? ✅ Policies against bullying and Harassment that define unacceptable behaviour, and that define how employees can report issues ✅ Training for staff and leaders ✅ Leaders with a good understanding of the issue who can create the climate to avoid harassment and encourage employees to speak up ✅  An assessment of the risk within your own organisation ✅  Reporting mechanisms for individuals to report issues, together with a process to ensure follow up Clearly this needs to be set up to be appropriate for your organisation. Are you the kind of organisation that organises after work drinks? Are you the kind of organisation that interacts with customers? Do you have playful banter within your workplace; do you know when that steps over the line into the unacceptable according to the law? Do your employees work shifts? There are many variables that make your organisation unique. You’ll want to ensure that you’re creating processes and systems that work for your specific organisation. So you’ll want to work with someone who is focused on what makes business successful, not just telling you what the new law says. And it’s worth noting that implementing the elements of this checklist will be a good start, but it will take more time to have an impact. So if you need help in implementing any of these topics in a way that fits your organisation, don’t delay; please contact me. #DiversityandInclusion #Inclusion #Leadership #GlobalAndInclusive