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The Future of Data Security for AI
Stay ahead of emerging threats. Protect your data as you embrace AI solutions.
Safeguarding AI with Zero Trust Architecture and Data-Centric Security
AI systems often handle sensitive data and make critical decisions that can significantly impact businesses and individuals, making safeguarding AI crucial. Compromised AI systems can result in financial loss, reputational damage, and legal complications. Additionally, as AI becomes more integral to operations, it becomes a prime target for cyberattacks.
Ensuring robust AI security requires a multifaceted approach. Combining zero trust principles with data-centric practices prevents unauthorized access, data breaches, and malicious tampering, thereby maintaining the integrity, reliability, and trustworthiness of AI-driven processes.
Four Pillars of Safeguarding AI
Cybersecurity risks of AI systems are multi-dimensional. Processing a massive number of data increases risks of data breach and leakage of confidential information. Equally imperative are threats brought by malicious manipulation of data inputs that distort AI models, and abusive use of the AI technology.Â
Read NextLabs latest white paper on Safeguard AI with Zero Trust Architecture and Data-Centric Security to understand the main types of AI threats identified by NIST, and how the different pillars of safeguarding AI can address those risks, using NextLabs solutions that combines Zero Trust Architecture and Data-Centric Security.Â
Controlling Access to AI System
Safeguarding ML and LLM Models and Training Data
Safeguarding Business and Transaction Data
Protecting the Output of AI Systems
Securing AI for SAP
AI integration in SAP is revolutionizing business processes by enhancing operational efficiency, decision-making, and customer experiences. As AI in SAP systems enable predictive analytics, automation of repetitive tasks, and real-time insights from extensive data, securing AI for SAP becomes paramount.
Watch NextLabs Expert Series video on Securing AI for SAP as our guest, Nipun Mahajan (Senior Cybersecurity Analyst at Lonza), shares his insights on how AI enhances SAP functionalities, the challenges and considerations of integrating AI with SAP, the benefits and ROI of implementing AI in SAP systems, and more.
Insights from Five Industry Leaders
Discover how industry leaders are using zero trust data-centric security to protect business critical data and accelerate business transformation. Automate security controls and prevent unauthorized access with next-generation solution.
