
The AI Security Layer Your Enterprise Needs
AI Shield sits between your team and every LLM. It enforces guardrails, redacts sensitive data, blocks policy violations, and maintains a full audit trail — in real time, with zero friction, and under 5ms of added latency. Now supporting GPT-4o, Claude 4, and Gemini 3.
Enter SystemAs teams adopt LLMs across engineering, analytics, and operations, prompts flow straight to external providers carrying PII, secrets, financial data, and confidential source code. There's no guardrail stopping prompt injection, no redaction stripping sensitive data before it leaves your perimeter, and no audit trail showing who sent what to which model. Compliance teams can't map AI usage to GDPR, HIPAA, PCI, or SOC 2 — and costs balloon on duplicate and blocked-but-still-charged prompts.
AI Shield intercepts every prompt before it reaches any provider. It scans for threats, strips PII and secrets with intelligent redaction, checks policies, and logs everything — in under 5 milliseconds. Real-time guardrails block prompt injection and policy violations at the source so no tokens are wasted. A multi-provider gateway routes across OpenAI, Anthropic, and Google with automatic fallback. Sensitive data never leaves your perimeter unredacted, and every request is logged, risk-scored, and auditable.
Guardrails intercept every prompt client-side — before it's ever sent to an API provider — blocking prompt injection, jailbreaks, and policy violations at the source. Configurable per rule, team, and provider with block, warn, approve, or log enforcement actions.
The redaction engine strips PII, secrets, API keys, financial data, and custom regex patterns from every prompt before it leaves your network — automatically, with no code changes. Names, SSNs, credit cards, tokens, and bank accounts are all masked.
Define org-wide data governance — what each team can send, to which providers, under what conditions — mapped to GDPR, HIPAA, PCI DSS, SOC 2, and the EU AI Act. AI-assisted policy generation creates compliant policies from plain English.
One unified security layer for OpenAI (GPT-4o, GPT-4), Anthropic (Claude 4, Claude 3.5), and Google (Gemini 1.5, 2.0). Switch providers without changing security configuration, with automatic fallback routing for zero downtime.
Every AI request is logged, timestamped, risk-scored, and traceable — full prompt, response, user attribution, token and cost per request, and allowed/blocked/cached status. Immutable and export-ready for SOC 2 audits and legal discovery.
Map your AI usage to GDPR, HIPAA, PCI DSS, SOC 2, and the EU AI Act. Scan for violations, get AI-driven fix suggestions, track remediation records, and generate evaluation checklists automatically.
Identical prompts return cached responses instantly — cutting costs and eliminating redundant LLM calls. Average 30% LLM cost reduction across customer accounts through caching and guardrail blocks.
High-risk prompts route to a human reviewer before reaching the LLM, with full approve/reject audit trails. Get instant Slack and email alerts when guardrails trigger or compliance thresholds are breached.
Deploy specialized agents for security analysis, compliance review, and policy authoring. Upload internal policies as grounded RAG context to avoid hallucinations, and onboard your team with progressive security training and certification badges.
PII, secrets, and financial data are stripped from every prompt before it reaches any external API — so your team gets the full power of LLMs without exposing regulated data.
Because guardrails intercept client-side, blocked prompts never consume tokens. You prevent data exposure and cut costs simultaneously — an average 30% LLM cost reduction across protected teams.
Every request is logged and risk-scored, mapped to your frameworks (GDPR, HIPAA, PCI DSS, SOC 2, EU AI Act). When auditors ask, the evidence is already compiled, immutable, and export-ready.
If OpenAI is down, requests automatically route to Anthropic or Gemini — your security configuration travels with them. Proven at scale with a 99.9% uptime SLA.
Under 5ms added latency, SOC 2 Type II, HIPAA-ready, GDPR-compliant, and set up in three minutes. Power without friction — your teams adopt AI faster, safely.
Start free with no credit card — setup in three minutes. AI Shield sits in front of your OpenAI, Anthropic, and Google API calls immediately.
Activate built-in guardrails (prompt injection, PII, secrets) and define team-level policies mapped to your compliance frameworks — or use the Policy Creator AI to generate them from plain English.
Route requests through the multi-provider gateway across OpenAI, Anthropic, and Google with automatic fallback. Sensitive data is redacted and prompts are policy-checked before any call.
Watch the live request feed, review risk alerts and approvals, export immutable audit logs for compliance, and watch costs drop through caching and guardrail blocks.
AI Shield sits between your team and every LLM provider. Every prompt is scanned for threats, redacted of PII and secrets, policy-checked, cached where possible, and logged — in under 5 milliseconds — before it ever reaches an external API.
OpenAI (GPT-4o, GPT-4), Anthropic (Claude 4, Claude 3.5), and Google (Gemini 1.5, 2.0), with automatic provider fallback routing. If one provider is down, requests route to another without changing your security configuration.
GDPR, HIPAA, PCI DSS, SOC 2, and the EU AI Act. The compliance dashboard scans for violations, suggests AI-driven fixes, tracks remediation records, and generates evaluation checklists automatically.
AI Shield adds under 5 milliseconds of latency — the full scan, redaction, policy check, and logging pipeline — and blocked prompts consume zero tokens, so there's no latency or cost impact for violations.
Yes. High-risk prompts can be routed to a human reviewer before reaching the LLM, with full approve/reject audit trails, reviewer assignment, approval timeout controls, and logged outcomes.
Yes. The pattern builder lets you write custom regex rules with live syntax validation, test them in a sandbox against real prompts, and deploy instantly without code changes — including format masks for internal IDs and customer references.