Navigating the AI-Security Dilemma with Zero Trust
The race isn’t about better AI – it’s about safer AI
February, 2026
Artificial Intelligence is rapidly reshaping cybersecurity landscape – bringing unprecedented opportunities while creating new risks for both leaders and organizations. Industry research shows that global AI-driven cyberattacks surged 72% in 2025, highlighting how quickly attackers are scaling phishing, malware, and fraud with machine-speed automation.
For organizations, the question is clear: how to benefit from AI’s speed and automation without undermining trust, security, and resilience? Without governance that keeps pace, AI can amplify risk as quickly as it delivers value.
Explore insights from our partner Deloitte to understand what AI in cybersecurity means for organizations seeking to govern trust, manage risk, and compete effectively in an era where cyber threats and defenses operate at machine speed.
Generative AI's Growing Threat and Opportunity
The rise of Generative AI is not only creating new opportunities, but it is also exacerbating cybersecurity challenges and concerns for AI governance. In a NextLabs Expert Series episode, veteran CISO and Cybersecurity Strategist, Matthew Rosenquist, explains how attackers are using generative AI to scale phishing, fraud, malware creation, and social engineering, while defenders are beginning to leverage it to improve security communications, data analysis, and vulnerability identification.
Watch the episode to learn more about a growing challenge: as AI adoption outpaces regulation and oversight, securing AI systems and how they are used is becoming increasingly critical.
Safeguarding AI Privacy and Security Across the Enterprise
As AI becomes increasingly integrated across enterprise operations, security challenges expand beyond isolated systems to the full AI lifecycle. AI workloads rely on sensitive data, complex models, and automated decision-making – creating exposure points that traditional, perimeter-based security approaches fall short. To navigate this complex cybersecurity risks caused by AI adoption, enterprises need to adopt a Zero Trust Data-Centric approach that ensures consistent protections across access, data, models, and outputs, helping organizations maintain visibility, control, and accountability.
Explore a robust AI Security and Governance Framework designed by NextLabs to safeguard AI end to end, providing a practical strategy to protect critical assets, ensure integrity, and enable trusted AI adoption across the enterprise.
Regain Visibility and Control as AI Adoption Accelerates
The use of enterprise data with AI is at the heart of the future of innovation; however, it introduces new data and model exposures that static security approaches were never designed to handle. As organizations integrate AI into security operations, fraud detection, customer engagement, and decision-making, they are also expanding the volume of confidential data flowing into and out of AI systems. This underscores the importance of combining the governance of access, data, models, and output to secure the data in AI systems.
Discover how a Zero Trust Data-Centric Security approach helps enterprises scale AI safely while preserving trust, compliance, and business resilience.
NextLabs Latest Updates
Webinars
- Zero Trust Data Protection for SAP | NextLabs & Accenture | Feb 4, 2026 at 8:00am PST / 5:00pm CET
- Secure Information Sharing with Digital Rights Management (DRM) | NextLabs x Carahsoft | Feb 10, 2026 at 9:00am PST, 12:00pm EST
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:Â February 20, 2026
NextLabs Trainings and Certifications
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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