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Company-wide AI Guardrails for secure, unified LLMs
Keep your business data safe, your AI outputs compliant, and your teams in control – with AI Guardrails built for real-world LLM workflows.
- Prevent data leaks before they happen
- Filter inputs and outputs to align with company policy
- Customize, apply, and configure guardrails across all AI models
What are AI guardrails?
AI guardrails are rules, filters, and policies that control how large language models (LLMs) are used, protecting your organization from sensitive data leaks and policy violations.
At nexos.ai, we’ve built LLM guardrails directly into AI Workspace, AI Gateway, and AI Security & Governance solutions.
Gain complete control over AI interactions with built-in LLM guardrails.
Setup a secure infrastructure with custom rules for LLMs
Define allowed inputs and automatically block unwanted outputs before they reach users
Apply consistent policies across team chats and API-driven workflows
How nexos.ai guardrails work
Guardrails are configured in the Control Panel and applied in real time to every interaction — whether it happens through the browser-based Workspace or through API requests.
Input filtering
Block confidential terms, account numbers, PII, or other sensitive details from ever reaching an LLM.Output filtering
Prevent harmful language or personal information from being shown to users.Customizable enforcement
Choose how guardrails respond: redact sensitive inputs or block the prompt to stop risky requests.Guardrails + Fallbacks
When AI Guardrails are enabled for the main model, they will also be applied to all fallbacks.Company guardrail
Apply a single baseline to all models
Custom guardrail
Add custom guardrails where needed
Excluded models
Exclude specific models
Benefits of AI guardrails for business
With nexos.ai, you don’t just give teams access to powerful LLMs — you give your business a way to stay safe and in control.Achieve better compliance
Block sensitive data from ever reaching a third-party model. Filter inputs and outputs for email addresses, credit card numbers, IBAN codes, location data, and other sensitive information.
Visibility into every interaction
nexos.ai’s routing engine automatically selects the best AI model for each query, eliminating guesswork and improving efficiency.
Configure once, enforce everywhere
Real-time spending insights and budget controls help you track costs, optimize usage, and prevent overspending.
AI risks that nexos.ai protects against
Employees turn to AI to work faster, often through unsanctioned tools or personal devices. Shadow IT is growing, and with it, the risk of leaks, noncompliance, and brand damage. nexos.ai is a secure AI platform, where guardrails support how people work – without losing control of your data and security.
Stop users from accidentally sharing internal documents, passwords, or client data with third-party models.
Avoid offensive language or responses containing private info that could create risk for your business.
Ensure teams only use models that are pre-approved for their department or task and only in the ways you’ve defined.
Without guardrails, there’s no audit trail. With nexos.ai, every filtered prompt, every rule is logged and reviewable.
How to implement AI guardrails at scale
Rolling out guardrails across an organization shouldn’t feel like reinventing the wheel. With nexos.ai, you can operationalize AI safety and policy enforcement without slowing teams down.
Bring in legal, security, and business leads to shape policies that reflect real-world risks — not just theoretical concerns.
Define unique guardrails for each department or application. Deploy them instantly and ensure they only trigger where relevant.
Map your AI guardrails to existing regulatory frameworks, internal policies, and ethical standards and evolve them as new needs arise.
Know when a rule fires, when a result gets blocked, and where your exposure risks are trending in real time, with audit logs.
FAQ
Filters for detecting sensitive content like PII, payment details, or confidential business terms.
Custom enforcement logic that decides whether to redact inputs or block them entirely.
Scoped policies that apply different rules for different teams, tools, or models.
Audit logging to track and review how policies are working in practice.