Customer Trust and Data Privacy in CIAM

SOC 2 compliance doesn’t mean your customers’ data is safe. Certifications like SOC 2 are required for business. But here’s the real problem: If data privacy is similarly treated as a checkbox—an operational hurdle to clear rather than a core responsibility, security exists only on paper while customer trust remains at risk. Here’s what needs to change: 1/ 𝐄𝐦𝐩𝐨𝐰𝐞𝐫 𝐩𝐫𝐢𝐯𝐚𝐜𝐲 𝐥𝐞𝐚𝐝𝐞𝐫𝐬 𝐭𝐨 𝐞𝐧𝐬𝐮𝐫𝐞 𝐩𝐫𝐢𝐯𝐚𝐜𝐲 𝐢𝐬 𝐞𝐦𝐛𝐞𝐝𝐝𝐞𝐝 𝐭𝐡𝐫𝐨𝐮𝐠𝐡𝐨𝐮𝐭 𝐭𝐡𝐞 𝐨𝐫𝐠𝐚𝐧𝐢𝐳𝐚𝐭𝐢𝐨𝐧. A checkbox won’t protect customer data or build trust, but bold, strategic privacy leadership will. 2/ 𝐁𝐮𝐢𝐥𝐝 𝐩𝐫𝐢𝐯𝐚𝐜𝐲 𝐢𝐧𝐭𝐨 𝐢𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞 𝐟𝐫𝐨𝐦 𝐝𝐚𝐲 𝐨𝐧𝐞. Every shortcut today becomes a costly patch tomorrow. Design systems to protect data and respect user consent from the ground up. 3/ 𝐒𝐡𝐢𝐟𝐭 𝐟𝐫𝐨𝐦 ‘𝐛𝐚𝐫𝐞 𝐦𝐢𝐧𝐢𝐦𝐮𝐦 𝐜𝐨𝐦𝐩𝐥𝐢𝐚𝐧𝐜𝐞’ 𝐭𝐨 𝐩𝐫𝐨𝐚𝐜𝐭𝐢𝐯𝐞 𝐫𝐢𝐬𝐤 𝐫𝐞𝐝𝐮𝐜𝐭𝐢𝐨𝐧. Privacy isn’t just about meeting today’s regulations. It’s about anticipating tomorrow’s risks and building systems resilient enough to handle them. A badge alone doesn’t keep data safe. Delivering on the promise of privacy requires commitment. What’s your take? How do we shift from compliance theater to true privacy leadership? cc: Chris Deibler, Ty Sbano, Matt Hillary, Steve Zalewski, Masha Sedova #Privacy #Security #SOC2 #Legal

📕 Privacy as an Enabler of Customer Trust - 2024 Data Privacy Benchmark Study by Cisco This report, Cisco’s seventh annual review of #privacy perspectives for organizations, explores current privacy trends, challenges, and opportunities. The survey respondents included 2,600 security and privacy professionals in 12 countries. They were asked about their organizations’ privacy practices and spending, reactions to privacy legislation, AI, and data localization requirements. The findings from this research demonstrate the continuing importance of privacy to businesses and how they serve their customers. 🔶 Key findings: 1️⃣ Privacy has become a critical element and enabler of customer trust, with 94% of organizations saying their customers would not buy from them if they did not protect data properly. 2️⃣ Organizations strongly support privacy laws around the world, with 80% indicating legislation has had a positive impact on them. 3️⃣ The economics of privacy remain attractive, with 95% saying benefits exceed costs and the average organization realizing a 1.6x return on their privacy investment. 4️⃣ There has been relatively slow progress on building customer confidence with respect to AI; 91% of organizations still recognize they need to do more to reassure their customers. 5️⃣ Organizations are already getting significant value from generative AI applications, but they’re also concerned about the risks to their intellectual property or that the data entered could be shared with competitors or the public. 6️⃣ Organizations believe that global providers, operating at scale, can better protect their data compared to local providers. #dataprotection #cisco

The Crucial Intersection of Data Quality and IAM in Enhancing Customer Trust and Experience Recently, I had an enlightening conversation with Himanshu Shah about the ever-evolving challenges and opportunities surrounding data in the context of identity management. The key takeaway? Data is a formidable asset, but its power is fully harnessed only when it's accurate, timely, and used responsibly. In the realm of customer identity and access management (CIAM), the stakes are high. Customers entrust us with their data, and it's our duty as IAM and Data leaders, in collaboration with compliance teams, to safeguard this data diligently. A vital aspect of this is distinguishing between Personally Identifiable Information (PII) and non-PII data. By segregating these, we can freely utilize non-PII data across the organization while applying stricter controls to PII. This approach protects customer data and facilitates targeted marketing and personalized services, based on customer preferences, enhancing customer experiences. As we integrate new data, it's imperative to ensure its quality. This means asking critical questions: Who owns the data? Is it accurate and free of duplicates? Are there any unexpected or null values? The answers to these questions vary based on specific business needs and use cases, and they guide our efforts in data cleansing and legacy data correlation. A key area that often gets overlooked in IAM is the granularity of database access. While we focus on granting access to applications and databases, the specifics of row and column-level access are sometimes left in the hands of developers. This approach, while common, can lead to inefficient use of development resources, as they are diverted from creating innovative features that drive business growth. Himanshu and I concluded that IAM teams should take the helm in managing row and column-level access within the IAM ecosystem. This shift streamlines processes and frees our developers to focus on what they do best: innovating and enhancing our business offerings. In summary, the journey to harnessing the true power of data lies in quality control, responsible management, and strategic IAM practices. Let's embrace this path for a more secure, efficient, and customer-centric future. #DataQuality #IAM #CIAM #DataProtection #CustomerExperience #Innovation #DataAccessibility

💸 In an era where data is akin to currency, the strategic and ethical handling of customer data, or Data-Privacy Empowerment, is not just a compliance requirement but a competitive differentiator for technology and SaaS companies Here’s how this paradigm is shaping the future of business. 🛡️ Regulatory Compliance is Just the Beginning Beyond adhering to GDPR, CCPA, and HIPAA, Data-Privacy Empowerment positions companies ahead of the regulatory curve. It’s not about avoiding penalties; it’s about setting a higher standard in data stewardship. 🤝 Trust as a Cornerstone of Customer Relationships Transparency isn’t just a good practice; it's a business imperative. In a world where 72% of B2B buyers seek transparent pricing, extending this clarity to data handling can be a game-changer. It transforms customer interactions from transactional to trust-based. 🌟 The Driving Force for Business Agility and Innovation In the dynamic tech landscape, Data-Privacy Empowerment is the key to responsibly leveraging data for innovation. It’s a catalyst for growth, enabling businesses to harness the power of data without ethical compromises. ⏩ Why Data-Privacy Empowerment is Trending Now With the evolving regulatory landscape and the shift towards privacy-centric marketing paradigms, businesses are compelled to rethink their data strategies. The rise of PETs like homomorphic encryption is revolutionizing how we can secure and utilize data. 🚩 Kickstarting Your Data-Privacy Journey 1️⃣ Establish a Data Privacy Task Force: Champion data privacy from within. 2️⃣ Implement Robust Data Governance: Not just compliance, but a commitment to ethical data use. 3️⃣ Invest in Privacy Tech and Expertise: Stay ahead with tools and talent that prioritize privacy. Industry Atom’s 2026 Prediction Businesses embracing Data-Privacy Empowerment strategies are projected to see a 60% increase in customer trust and loyalty, with a significant reduction in compliance-related costs. Data-Privacy Empowerment is more than a compliance checklist; it's a strategic choice that can redefine your brand and build enduring customer relationships. It's time to turn data privacy into your competitive edge. #CustomerDataManagement #TrustInTech #BusinessInnovation #DataGovernance #PrivacyTech #Cybersecurity #DigitalTransformation #DataProtection #TechTrends #DataEthics #CustomerTrust #ITServices #ComplianceManagement #FutureOfData #b2bsales, #branding #marketing #josephabraham #b2bmarketing #marketinginnovation #METABRAND #IndustryAtom 

Clients are more willing to do business when they are assured that their data will be handled securely and protected from malicious actors. Legal Compliance in Data Privacy 👩💻⚖️ The growing reliance on data currently emphasizes the importance of legal compliance in data privacy to protect individual rights and build public trust. According to Section 39 of the Nigeria Data Protection Act (NDPA) 2023, data controllers and processors are required to implement appropriate technical and organizational measures to ensure the security, integrity, and confidentiality of personal data. This includes protections against unauthorized access, misuse, accidental destruction, or alteration of personal data. Failure to implement these measures can expose organizations to severe penalties and risks to their reputation. As highlighted by Rahamna & Pentland (2022) in "The New Rules of Data Privacy", effective data privacy practices prioritize trust over transactions, insight over identity, and flows over silos. Building trust requires meaningful consent and transparency in data use. Deriving insights without transferring data minimizes privacy risks while enhancing compliance. Breaking down silos enables secure, seamless data sharing that benefits both businesses and customers. To meet compliance standards, companies should adopt measures like encryption, pseudonymization (de-identification of data), regular risk assessments, system resilience testing, and maintaining transparency with stakeholders. When companies prioritize compliance, they not only avoid legal troubles but also build trust with their customers. Do have a great day! 🌻 ____________________ I am Mercy Aronimo, and I create awareness on the intersection of law and technology, and contribute to the success of a project by managing teams and influencing the growth and development of a work environment. #projectlawyer #compliance #dataprivacy #techlaw

Building Trust with Transparent Data Privacy Practices Data privacy is more than just compliance—it’s a way to build customer trust. With privacy concerns rising, here are some practical tips on how to communicate your privacy practices clearly and effectively: 1. Simplify the Language: Legal jargon can create confusion. Instead, use straightforward language that customers can easily understand. It builds confidence that you prioritize transparency. 2. Highlight Key Practices: Let customers know exactly how their data is collected, stored, and shared. Clearly delineated sections in your privacy policy or terms can go a long way toward reassuring users. 3. Address AI-Specific Privacy Questions: With AI, it’s especially helpful to explain any data used for training or algorithms. When customers know their data isn’t being used in unexpected ways, they feel safer using your platform. 4. Offer Easy Access: Make sure your privacy policy and terms are easy to find and view on your site or app. This simple step shows customers that privacy is a priority, not an afterthought. Privacy is a continuous effort—how do you show your commitment to transparency? Videos and content are for educational purposes only, not to provide specific legal advice. Contact: msalehpour@salehpourlaw.com #Tech #AI #dataprivacy

Customer data is a privacy lawsuit waiting to happen. But there's a way to avoid this... Most companies handle privacy like a ticking time bomb. Everything works fine until someone sues you. Then comes the mad scramble. This reactive approach costs fortunes in litigation, damages customer trust, and creates unnecessary business risk. But fixing customer data privacy DOESN'T have to be overwhelming. The pathway forward requires two key elements: 1. START WITH EDUCATION Anyone touching customer data needs to know: - What consent means in practical terms - How to handle deletion requests - Which regulations apply - Where sensitive data lives Teams deprioritize privacy because they don't understand the risks. Without a champion, these projects get pushed aside. 2. SIMPLIFY YOUR INFRASTRUCTURE When customer data flows through dozens of systems owned by different teams, consistent privacy enforcement becomes impossible. At RudderStack, we see companies transform their privacy posture when they move to a single pipeline for all customer data movement (whether from websites, backends, or internal systems) A unified pipeline gives you: - One place to enforce consent - Consistent policies across channels - Simplified audit trails - Faster response to regulatory changes With the right infrastructure, privacy becomes systematic, not sporadic. The choice is simple: Invest in privacy now, or pay for lawyers later.

In times of change, it’s just as important for us to keep sight of what will remain constant and unchanged. While we're all rightly excited about the positive impact AI is bringing to the industry and its ability to transform the way we work, this change must be grounded in strong principles around data, privacy, trust, and what is right for the consumer. As we go on this journey, here are three truths that will remain as we embrace AI. 👉 Privacy is non-negotiable: The landscape and conversation around privacy is only trending one way. Privacy isn’t a roadblock, it’s the opposite. The companies we work with that have privacy as the foundation of their strategies today see better performance and better outcomes. CEOs who don’t understand this today, will be further behind tomorrow and in the future. 👉 Trust is the foundation of lasting consumer relationships: Trust is hard-earned, but easily lost. Consumers put their trust in your hands to protect their data. Use it responsibly and you'll forge stronger relationships. Agentic AI and AI modelling will be data intensive, and companies will need to be extremely careful about who, where, and how their data is being used. 👉 Control of your data should remain with you, always: You shouldn't be sharing your data or sending it outside of your own four walls. The companies that have embraced PETs and secure data collaboration are accelerating their marketing and tapping into richer intelligence, while retaining control of their data. This will be the same for AI data solutions, where secure connectivity, not centralization, will be the winner.  These principles are the foundations of strong and durable businesses today, and will continue to be in the AI world. #InfoSum #DataCollaboration #DataPrivacy #AI