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Data-Centric Security (DCS) solutions with the fastest time-to-value and superior user experience

Today’s industries worldwide find themselves navigating a data-driven landscape of evolving technologies and shifting regulations. Digitization and cloud adoption has surged across the board, profoundly impacting industry standards and practices.  

As organizations undergo digital transformation to streamline business processes and foster collaboration, a complex cybersecurity and regulatory landscape stands in their way. Industry regulations, such as ITAR, GDPR, HIPAA, CCPA, EAR and CMMC, along with an increased attack surface, pose obstacles to data sharing, supply chain collaboration and managing business costs. 

Data Security Trends for Evolving Industry Needs

Closing the security gaps spawned by digital transformation requires a new approach to data security –  one that not only addresses current risks but also anticipates future threats. From shifting compliance requirements to the increasing reliance on cloud computing, organizations must adapt swiftly to protect their sensitive information. 

Companies should thus prioritize these key operations in data security: 

01

Zero Trust

Continuous authorization of all access attempts, prioritize data protection over network boundaries

02

Automation

Automate data security and compliance procedures to reduce error and enhance business agility

03

Prevention

Shift from manual detective controls to automated preventive controls for threat detection and response

04

Smart Audit

Track and monitor all access activity, use risk analytics to correlate, identify and alert on anomalies

05

Cloud Native

Seamlessly integrate security solutions with business infrastructure for quick time-to-value

Security Challenges Across Key Industries

The need for a new data security approach speaks to the following industry challenges: 

Need to segregate Controlled Technical Data (CTD), prevent access by unauthorized employees and comply with regulations such as ITAR, CMMC, and EAR

Need to protect IP and trade secrets across information lifecycle, comply with strict requirements issued by authorities such as the EPA and OSHA

Need to protect financial and personal data to maintain the confidentiality of material non-public info, prevent violations of GDPR, CCPA and similar regulations

Need to segregate Controlled Technical Data (CTD), prevent access by unauthorized employees and comply with regulations such as ITAR, CMMC, and EAR

Need to protect IP and trade secrets across information lifecycle, comply with strict requirements issued by authorities such as the EPA and OSHA

Need to protect financial and personal data to maintain the confidentiality of material non-public info, prevent violations of GDPR, CCPA and similar regulations

Meet regulatory demands around both classified and controlled unclassified information (CUI)

Need to protect IP, trade secrets and sensitive clinical data across repositories and apps, comply with HIPAA and similar regulations

Need to prevent IP theft and enable controlled access with partners and supply chains on a need-to-know basis

Need to share proprietary information with supply chain partners while ensuring its privacy, some of which may be subject to export regulations

Protect intangible assets from increasingly sophisticated cyberattacks, corporate espionage and insider threat

Overcoming Security Obstacles in Major Industries

Overcoming Security Obstacles in Major Industries

Businesses require a data-centric security (DCS) solution that allows them to thrive amidst the changes in their industry. This can be achieved through a unified policy platform that combines zero trust, automation, prevention, smart audit and cloud-native operations.  

NextLabs Zero Trust Data Security

The unified policy platform should focus on these key areas: 

  • Policy Governance – Users author security policies that are automatically enforced across the entire organization, with approval workflow, policy rollback and audit features 
  • High Performing Policy Engine – Dynamically evaluates access requests against attribute-based policies and prevents unauthorized access
  • Application-native Enforcement – Policies are implemented by comprehensive enforcement solutions across different data enclaves, from files to databases, through native integration
  • Cloud Deployment – Integrates with existing cloud infrastructure and business processes  
NextLabs Zero Trust Data Security

What are the Outcomes?

Improved Timetomarket: Increase collaboration with secure data sharing, agility to react to changes in business requirements and industry regulations 

Reduced Cost of Compliance: More efficient monitoring and audit of access activity 

Simplified Management: Consistent application of access management and data protection requirements across apps, reducing security management costs  

Robust Cybersecurity: Prevent data leakage and cyber-attacks by enforcing preventive controls to safeguard data 

What industries use NextLabs?

Some of the largest companies in the world utilize NextLabs’ Zero Trust Data Security 

Nations dependent on NextLabs Policy Platform
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of the top 12 A&D companies use NextLabs
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of the top 5 Pharma & Life science companies
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