As organizations transition from experimental AI pilots to mission-critical production environments, the need for robust security and governance has become a top priority. Enkrypt AI, a provider of specialized security for generative AI, and Citrix have announced a new reference architecture that integrates Enkrypt AI’s protection platform with Citrix NetScaler®. This joint solution is designed to help enterprises scale large language model (LLM) applications while maintaining compliance, operational reliability, and user trust.
The partnership integrates Enkrypt AI’s LLM Firewall with Citrix NetScaler AI Gateway.
The architecture provides bidirectional protection: validating user prompts and inspecting model responses in real time.
Key features include semantic threat detection, dynamic context tracking, and policy-based governance.
The solution addresses specific AI risks such as prompt injection, sensitive data leakage, and toxic outputs.
NetScaler handles infrastructure-level tasks like SSL offload, authentication, and load balancing, while Enkrypt AI adds model-level intelligence.
The system is designed to align with major frameworks like NIST AI RMF and OWASP Top 10 for LLMs.
Traditional cybersecurity tools often struggle with the natural-language interfaces of modern AI. Unlike standard web applications, LLMs can be manipulated through "jailbreaking" or carefully crafted prompts that bypass traditional firewalls. The NetScaler and Enkrypt AI integration creates a "layered defense" strategy. NetScaler acts as the secure entry point (ADC), managing traffic flow and access control. Enkrypt AI then provides a deep inspection layer that understands the meaning and intent behind the language, blocking adversarial inputs in milliseconds before they reach the inference service.
With global AI regulations intensifying in 2026, enterprises must provide audit-ready evidence of their governance. This integrated architecture delivers comprehensive monitoring and enforcement, allowing security leaders to see exactly how models are being used and where policies are being triggered. By automating these safeguards, engineering teams can deploy AI features faster without the risk of exposing sensitive proprietary data or generating non-compliant content that could damage the company's reputation.
"Enterprises are racing to adopt AI, but without the right controls in place, every model interaction is a potential liability," said Steve Shah, Senior Vice President and GM of Citrix NetScaler. "Our collaboration with Enkrypt AI adds a critical layer of model-level security intelligence that enterprises need to deploy AI with confidence."
By combining proven infrastructure security with specialized AI protection, the collaboration enables organizations to move safely from experimentation to high-scale production, ensuring that "agentic" workflows and LLM interactions remain secure by design.
About Enkrypt AI:
Enkrypt AI is an enterprise AI security, compliance, and governance platform purpose-built to secure AI, agents, multimodal systems, and MCP. The company delivers ultra-low latency, policy-based guardrails that enforce security, safety, and compliance in real time—helping prevent risks such as prompt injection, sensitive data exposure, and unsafe outputs. Serving enterprises in regulated industries including finance and healthcare, Enkrypt AI helps organizations ship fast and stay safe. Learn more at enkryptai.com.
About Citrix NetScaler:
NetScaler, part of Cloud Software Group, is a modern, high-performance application delivery and security platform. NetScaler AI Gateway extends this leadership into the AI era, enabling organizations to run AI services with the governance, visibility, and operational confidence required for mission-critical deployments.
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