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. Â
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.Â
Data Security Trends for Evolving Industry Needs
Closing the security gaps spawned by digital transformation requires a new approach to data security –Â 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.Â
Companies should thus prioritize these key operations in data security:Â
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:Â
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. Â
The unified policy platform should focus on these key areas:Â
- Policy Governance – Users author security policies that are automatically enforced across the entire organization, with approval workflow, policy rollback and audit featuresÂ
- 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 Â
NextLabs Zero Trust Data Security
What are the Outcomes?
Improved Time–to–market: Increase collaboration with secure data sharing, agility to react to changes in business requirements and industry regulationsÂ
Reduced Cost of Compliance: More efficient monitoring and audit of access activityÂ
Simplified Management: Consistent application of access management and data protection requirements across apps, reducing security management costs Â
Robust Cybersecurity: Prevent data leakage and cyber-attacks by enforcing preventive controls to safeguard dataÂ
What industries use NextLabs?
Some of the largest companies in the world utilize NextLabs’ Zero Trust Data SecurityÂ