Technology – AI Products & Digital Platforms
Build AI Products with Security at Every Interaction
Technology companies are adding AI assistants, copilots and automated workflows to customer-facing and internal platforms.
Through VotalAI, FVC helps product and security teams protect enterprise LLM applications, enforce data policies and continuously assess how models respond to adversarial input.
Every AI Interaction Shapes the Security of the Product
AI applications process free-text requests, retrieve connected business information and generate responses for users in real time.
A dedicated AI-security layer helps technology teams evaluate each prompt, apply controls to model outputs and maintain clear records of sensitive activity.
Continuous testing keeps these protections aligned as models are updated, new data sources are connected and application capabilities expand.
Why FVC + Technology
Technology teams need security that works within the speed and flexibility of AI product development.
VotalAI brings runtime policy enforcement, output-data controls and continuous adversarial testing into deployed LLM environments. Supported by FVC’s technical enablement and cybersecurity ecosystem, teams can introduce these controls while maintaining the performance and user experience of their AI applications.
Target Sectors
Key Threats
Keep AI applications aligned with their approved purpose.
LLM applications accept input from users, external systems and connected data sources.
Real-time prompt analysis identifies jailbreak attempts, indirect injection and adversarial patterns before they influence model behaviour.
Apply data policies before information reaches the user.
AI applications may work with customer records, contracts, internal policies and other protected information.
Output classification, redaction and blocking policies help product teams keep sensitive data within its approved governance boundaries.
Keep security aligned with every model and application update.
AI behaviour changes as models are fine-tuned, prompts evolve and new data sources are introduced.
Automated adversarial testing gives teams an ongoing view of application resilience across recognised LLM attack categories.
FVC Solution Areas
LLM Runtime Protection
Sangfor HCI integrates compute, storage and networking through a software-defined architecture.
Resources can be managed from one console, while additional nodes support capacity expansion and changing workload requirements. Built-in deduplication and compression also help improve infrastructure efficiency.
Data Leakage Controls
Sangfor VDI provides users with consistent desktop access from different devices and locations while keeping applications and data within the data centre.
Centralized management supports updates, security policies and workload control, while GPU support enables engineering and design use cases.
Continuous Red Teaming
VotalAI continuously sends controlled adversarial inputs to deployed LLM endpoints.
Testing covers recognised attack methods and highlights changes in the application’s security posture as models, prompts and integrations develop.
FVC Vendor Ecosystem for This Industry
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The Outcome
Technology teams gain a dedicated security layer for protecting AI applications during live operation.
Incoming prompts are evaluated before reaching the model, while generated responses follow approved data policies. Continuous testing helps teams understand how application security changes as models, integrations and data sources evolve.
The result is stronger AI-product assurance, clearer governance and greater confidence across every user interaction.
Technical Specifications
Trust & Credibility Signals
