AI Safety Without Compromise
Runtime guardrails built for BFSI. Lynx v1.5 achieves HackaPrompt R 0.994 with only 0.5% FPR — outperforming IBM Granite Guardian and Meta PromptGuard at 44x fewer parameters.
*Median of 100 forward passes, batch=1, max_len=256, fp16, RTX 4090
What is Lynx?
Zytra Guardrails (Lynx) is a runtime safety layer designed specifically for AI models deployed in banking and financial services. It operates at inference time to detect anomalous behavior, enforce policy constraints, prevent fraud, and ensure every prediction is explainable and compliant—without requiring model retraining.
Built for Risk Officers
Designed with compliance, audit trails, and regulatory requirements at its core. Every decision is logged, explainable, and defensible.
Zero Model Changes
Works with your existing models. No retraining required. Deploy as an external safety layer in minutes.
Real-Time Control
Monitor, block, or flag predictions at inference. Catch drift, anomalies, and policy violations before they cause harm.
Regulatory Ready
Pre-configured for GDPR, Basel III, SOX, and internal governance frameworks. Audit-ready from day one.
Core Capabilities
Six verified capabilities with published benchmark scores and methodology transparency.
22-Label BFSI Attack Classification
Detects 11 BFSI regulatory attack categories (B-01..B-11) and 9 prompt injection sub-types in a single 11.6ms forward pass.
Prompt Injection Detection
Wins all 7 prompt injection benchmarks vs 8B models. HackaPrompt recall 0.994 vs LlamaGuard's 0.084.
Agentic Pipeline Protection
D6_AGENTIC_INJECTION detection for tool-chaining abuse, mid-task override, and disbursement redirect attacks.
Regulatory Mapping Output
Every verdict includes regulatory_mapping[] citing the specific statutory provision: SEBI IA Reg §3, RBI KYC 2023, DPDP Act §6-7.
Zero False Positives on Benign Agents
FPR = 0.000 on 208 benign agentic prompts (AgentHarm benchmark, n=208, Wilson CI [0.000, 0.018]).
Contamination-Clean Training
57,086+ training rows SHA-1 deduplicated against all held-out evaluation JSONLs. Max contamination 0.2218%.
BFSI Use Cases
Real-world applications where Lynx delivers compliance, control, and confidence.
Credit Risk & Lending
Credit Decisioning
THE CHALLENGE
Models must avoid discrimination while maintaining accuracy. Explainability is required for denied applications.
SEMALITH SOLUTION
Lynx monitors for fairness violations, provides decision explanations, and prevents models from relying on protected attributes.
Result
Pass regulatory audits with confidence. Reduce discrimination complaints by 85%.
Fraud Detection
Transaction Monitoring
THE CHALLENGE
Models evolve to miss new fraud patterns. False positives create customer friction. Explainability is critical for disputes.
SEMALITH SOLUTION
Lynx detects fraud drift, catches novel patterns, and explains every flag for dispute resolution.
Result
Catch fraud 10x faster. Reduce false positives by 40%. Audit-ready explanations.
Anti-Money Laundering
AML/Know Your Customer
THE CHALLENGE
Models must comply with FinCEN, FATF, and local regulations. Every decision is subject to audit.
SEMALITH SOLUTION
Lynx enforces policy constraints, logs all decisions with full audit trails, and ensures regulatory compliance.
Result
100% regulatory compliance. Complete audit trail. Reduced compliance overhead by 50%.
Investment Management
Algorithmic Trading & Portfolio Management
THE CHALLENGE
Models must respect risk limits, regulatory constraints, and market rules. Model drift can breach policies.
SEMALITH SOLUTION
Lynx enforces position limits, market constraints, and regulatory rules at every trade recommendation.
Result
Never breach risk limits. Reduce compliance exceptions by 95%.
Built for Regulatory Compliance
Lynx is pre-configured for the regulatory frameworks that matter most to BFSI organizations.
Basel III / IV
GDPR
Fair Lending Laws
SOX
FinCEN / AML
Internal Governance
Audit & Documentation
Every decision is logged with full context: input features, decision rationale, model version, policy constraints applied, and override justification. Exportable audit reports for any regulatory review.
Verified Benchmark Results
Published benchmark scores with full methodology transparency. All results independently reproducible.
PINT F1 Score
Highest published prompt injection score
PI Benchmark Wins
vs 8B parameter models
Inference Latency
Median, batch=1, RTX 4090, fp16
False Positive Rate
AgentHarm benchmark (n=208)
Indian Regulatory Compliance
Customer due diligence and verification requirements
Suitability and disclosure requirements for AI advisors
Consent requirements for personal data processing
IT security controls and incident response
Insurance sector AI governance requirements
Get Lynx Today
See how Lynx protects your AI models, ensures regulatory compliance, and reduces risk in your BFSI operations.
Have questions? Reach out to our team: