NodeShift AI Guardrails secure the entire inference path, detecting prompt injection, preventing sensitive data leakage, and ensuring full compliance before your model ever responds
NodeShift AI Guardrails act as a firewall for generative AI, sitting between user input and model response to enforce compliance, confidentiality, and trust. Every query, file, and response passes through a multilayered validation system engineered to meet PDPL, ISO 27001, and SOC 2 standards
Blocks malicious prompt-injection attempts that try to override instructions or extract system data
Redacts or masks PII, financial, or internal records before they ever reach a model
Applies organizational and regulatory rules (PDPL, GDPR, sectoral guidelines) automatically in real time
Token-level anomaly detection and sandboxed instruction parsing prevent hidden manipulations
Context-aware masking of IDs, IBANs, passport numbers, or internal documents before model execution
AI outputs scanned against corporate policies, bias-control lists, and PDPL rules to ensure safe responses
Per-prompt logging with full replay and chain-of-custody tracking for every AI interaction
Centralized management console to define guardrail logic, severity levels, and automatic escalation paths
Guardrails evolve using real attack data and updated compliance requirements
Each prompt and attachment is analyzed for injection patterns and policy violations
Content is labeled as Safe, Sensitive, or Restricted
Sensitive → Routed to internal, air-gapped LLMs. Safe → Processed by approved external models (optional)
Output filtered for bias, compliance, or restricted data
Interaction recorded for DPO and CISO review
Encryption, monitoring, and audit controls built in
The ideal way for organisations young and old to ease their way into the decentralized cloud at their own pace.
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