Securing Sensitive Data from the Inside Out
Visibility, control, and protection – throughout data lifecycle
April, 2026
Gartner’s Top Cybersecurity Trends for 2026 paints a clear picture: organizations today face a threat landscape defined by accelerating complexity – where identity and access management gaps, regulatory volatility, and the risks of data loss are creating new business vulnerabilities. These risks span every industry, environment, and organization that handles sensitive data, with tangible consequences including compliance penalties, reputational damage, and significant financial impact – global breach costs now averaging $4.45 million.
Explore Gartner’s Top Cybersecurity Trends for 2026 to better understand the forces reshaping cybersecurity priorities this year – and why, while AI introduces new complexities, these challenges ultimately point to a broader imperative: securing sensitive data from the inside out through robust data access controls, insider threat mitigation, and data loss prevention.
How AI is Making Insider Threats Harder to Detect and Prevent
Insider threats have always been a concern, but new technologies, including AI, can amplify the risk. Over 57% of employees use personal Gen AI accounts for work, with a third admitting to inputting sensitive information into unapproved tools – often unaware of the risks. This modern version of insider threats can inadvertently expose intellectual property, trigger compliance violations, and introduce “bad artifacts” into business-critical workflows. Without governance over how employees interact with all tools – AI or otherwise – the risk expands quietly and at scale. To mitigate risk, enterprises need to invest in robust access controls, behavioral monitoring, and data loss prevention measures from now on.
This article explores how AI is amplifying insider risk and how organizations can leverage AI itself to detect behavioral signals and prevent incidents before they occur. Read the NextLabs Expert Series article with Celina Steward, Director of Cyber Risk Management at Neuvik, to learn more.
Addressing Identity and Access Management Gaps with Zero Trust
Organizations are facing a rapidly evolving identity and access landscape. As Gartner notes, AI agents introduce new complexities – such as credential automation and policy enforcement for non-human actors – but similar governance gaps exist across human users, cloud services, and hybrid workflows. Left unaddressed, these gaps increase the risk of access-related incidents, data exposure, and compliance failures.
Closing these gaps requires a proactive, risk-based approach that keeps pace with how access is evolving across the enterprise. Explore how Zero Trust Data-Centric Security enforces continuous verification, least privilege access, and real-time policy enforcement across all users and systems, ensuring compliance, protecting critical assets, and reducing internal and external threats.
Protecting Data Across Systems with Data Loss Prevention (DLP)
As organizations share data across cloud services, partner ecosystem, enterprise applications, and AI tools, sensitive information travels far beyond the boundaries where traditional security controls apply. At every point in that journey – whether data is in use, in motion, or at rest – it faces the risk of unauthorized access, accidental disclosure, or intentional exfiltration. The challenge is not just who has access, but whether protection persistently follows the data wherever it goes.
To address these evolving cybersecurity challenges, enterprises’ Data Loss Prevention (DLP) strategies should be powered by policy-based controls, automation, and continuous monitoring, ensuring consistent protection across all data states. Explore how adopting a Zero Trust Data-Centric approach to DLP ensures sensitive information remains protected wherever it resides and wherever it moves, across cloud services, ecosystems, and applications.
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NextLabs closed 2025 with record momentum – achieving its sixth consecutive year of profitability, surpassing 100 issued patents, and growing revenue by more than 50% year-over-year. In 2026, the company continues to build on this foundation with the latest CloudAz release, delivering major platform modernization and expanded Zero Trust enforcement capabilities for hybrid and cloud environments.
Solution Café
NextLabs Solution Café offers live 1-on-1 and roundtable sessions on zero trust, data-centric security, and NextLabs technologies — sharing use cases and best practices in an interactive space to ask questions, exchange ideas, and deepen expertise.
Date: April 17, 2026; May 15, 2026
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NextLabs provides extensive training and certification programs for partners and customers, focusing on mastery of Zero Trust Data-Centric Security products. The program covers policy development, system administration, and application integration, with hands-on modules on business information control, installation, auditing, and reporting. These courses prepare participants to effectively deploy and manage NextLabs solutions, ensuring strong data protection and compliance.
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