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Consumer Packaged Goods (CPG)
Data-Centric Security (DCS) solutions with the fastest time-to-value and superior user experienceÂ
In the Consumer Packaged Goods (CPG) and retail sector, data flows across complex operational environments spanning ERP, CRM, e-commerce platforms, and global supply chains with multiple partners. Organizations manage sensitive assets such as pricing models, product formulations, supplier contracts and customer data, with product information often representing valuable intellectual property and proprietary formulations. Â
These highly sensitive assets typically fall into four categories: formula and product IP, pricing and commercial strategy, supply chain and manufacturing intelligence, and consumer and retailer data. Unauthorized access can expose competitive strategies, disrupt operations, and impact revenue. As competitive advantage increasingly depends on data around demand, pricing, and distribution, data-centric security and Zero Trust approaches are becoming essential across CPG ecosystems.
Data-Centric Security
Protect product designs, supplier contracts, and marketing materials with persistent encryption and usage controls.
Zero Trust Data Security
Secure sensitive product, pricing, and customer data with continuous verification and policy enforcement.
SkyDRM – Secure External Collaboration
Protect product designs, supplier contracts, and marketing materials with persistent encryption and usage controls.
Challenges
Brand and Customer Data Protection
Brand and customer data – including marketing campaign data, pricing and promotional data, personal data, payment data, and marketing segmentation data – are shared with marketing tools, analytics platforms, and third-party partners to deliver personalized experiences. In doing so, companies must also comply with global and regional regulations such as PCI DSS, GDPR, and CCPA/CPRA to ensure customer and payment data are securely managed across global operations. Failure to protect this data can result in data breaches that damage brand reputation and erode customer trust. In addition, companies increasingly exchange retail performance data and joint business planning information with key retail partners as part of these workflows, further expanding the exposure surface for commercially sensitive insights across ecosystems of internal teams and external partners.Â
Complex Global Supply Chains
Retailers and CPG manufacturers operate within highly interconnected global supply chains involving distributors, logistics providers, contract manufacturers, and marketplace platforms. Sensitive data such as pricing models, product formulations, supplier agreements, sourcing strategies, shelf placement agreements, and category management strategies must be shared across these partners, often via unsecured file sharing, SaaS portals, or email attachments. Inconsistent security controls across systems and partners increase exposure risk as data moves between multiple external parties and platforms, creating potential for leakage, unauthorized access, and operational disruption.
Product Integrity and Competitive Data Protection
Sharing sensitive data across global supply chains creates significant data security risks for CPG and retail companies, particularly the unauthorized access of product designs and formulations. Without encryption, access controls, or other data-centric security measures, this sensitive information can be exposed, altered, or exfiltrated by unauthorized parties, resulting in data compromise or leakage. Protecting product and commercial data across internal teams and third-party collaborators is therefore essential. This includes pre-launch innovation assets such as unreleased products, packaging redesigns, reformulations, acquisition plans, and broader market expansion strategies, where early exposure can enable competitive copycats, accelerate imitation cycles, or weaken the commercial impact of product launches.Â
Insider and Third-Party Risks
Distributed workforces across corporate offices, retail stores, warehouses, and supply chain operations create significant data security challenges due to widespread access to sensitive systems and data. Internal and external users often require legitimate access to enterprise platforms, creating potential risk pathways such as contractors accessing supplier contracts or employees unintentionally sharing pricing or strategic documents. Without granular access controls and monitoring, these access patterns increase the risk of both accidental exposure and intentional misuse of sensitive business information. The risk surface is further amplified as organizations increasingly rely on AI-driven forecasting, pricing optimization, marketing attribution, and demand planning models, which introduce additional layers of sensitive algorithmic and commercial intelligence that can be misused if accessed improperly.Â
Securing Brand, Customer and Supply Chain Data in CPG and Retail
To overcome the risk of data breaches, competitive leaks, insider misuse, and unauthorized third-party access to sensitive data, CPG organizations need to enforce consistent policies and security controls to prevent unauthorized sharing. A comprehensive and proactive approach to data security should contain:Â
- Centralized Policy Platform
A centralized policy platform applies attribute-based access control (ABAC) to evaluate contextual factors such as user roles, project, location, and data classification whenever sensitive data is accessed. This ensures that access to critical business and customer information pricing, formulations, and supplier data  is dynamically controlled. Enforcing these policies consistently across cloud, on-premises, and SaaS systems strengthens access management and reduces the risk of unauthorized exposure.Â
- Data-Centric Security Controls
Enforcing data-centric security (DCS) policies through encryption, dynamic data masking, and digital rights management (DRM) secures sensitive information at rest, in use, and in transit. Encryption safeguards pricing and forecast data from unauthorized access, while DRM enforces usage restrictions on trade secrets, protecting competitive and proprietary information. These controls enable secure collaboration with internal teams and external partners while reducing the risk of data leakage and competitive exposure.Â
- Automate and Prevent
Automated policy enforcement evaluates user roles, device, location, and data classification in real time. It dynamically restricts access to trade secrets and other sensitive business information, automatically preventing unauthorized access or misuse. This ensures consistent protection across distributed workforces and partners while mitigating insider misuse and operational risk.Â
- Centralized Monitoring and Reporting
Real-time logging of data access across e-commerce, supply chain, and enterprise systems detects anomalies or unauthorized activity. Centralized reporting enables security teams to investigate incidents quickly, streamline compliance audits, and strengthen fraud detection. These capabilities safeguard brand reputation, customer trust, and critical business assets.Â
NextLabs Solution
CloudAz Centralized Policy Platform
NextLabs’ policy management platform CloudAz provides unified policy authoring, governance, and lifecycle management for access control across applications, systems, and partners environments. CloudAz enables organizations to define and manage attribute-based access control (ABAC) policies centrally, ensuring consistent enforcement of security rules across the enterprise and extended ecosystem.Â
CloudAz Dynamic Authorization Policy Engine
NextLabs’ policy management platform CloudAz provides unified policy authoring, governance, and lifecycle management for access control across applications, systems, and payesrtner environments. CloudAz enables organizations to define and manage attribute-based access control (ABAC) policies centrally, ensuring consistent enforcement of security rules across the enterprise and extended ecosystem.Â
SkyDRM Digital Rights Management
SkyDRM protects sensitive digital assets such as product designs, marketing materials, and supplier contracts through persistent encryption and granular usage controls that remain enforced throughout the information lifecycle. SkyDRM enables controlled access and policy-driven sharing across internal teams and external partners while maintaining full control over how content is used, even after it is distributed. SkyDRM restricts actions such as copying, forwarding, printing, or downloading to prevent unauthorized use, data leakage, and loss of control over sensitive information.Â
Data Access Enforcer (DAE)
Data Access Enforcer (DAE) applies fine-grained, attribute-based access control directly at the data layer, dynamically enforcing policies based on contextual attributes defined in policies. DAE protects sensitive enterprise data through dynamic data masking and data segmentation, ensuring users only see the information they are authorized to access. This prevents unauthorized exposure of critical CPG and retail data, including pricing spreadsheets, product formulations, and customer records, reducing risk of insider misuse, accidental exposure, and data leakage across the enterprise systems.Â
CloudAz Report Server
CloudAz Report Server provides centralized logging, auditing, and reporting of access events across applications and systems, creating a unified audit repository that enables organizations to monitor user activity and policy enforcement at scale. This centralized visibility helps detect unauthorized access, suspicious activity, and policy violations in real time. This supports faster investigations, reduces insider misuse, and helps prevent potential data leaks involving critical enterprise informationÂ
