Prompt injection
Hidden instructions in documents, tools and web pages hijack your model and override its rules.
Trace Gate is an AI guardrail, firewall and governance layer that inspects, traces and controls every prompt, response and action - in real time. Ship AI to production without shipping the risk.
Every prompt is an untrusted input. Every response is a potential leak. Once an LLM or agent can read your data and take actions, the attack surface is your whole business.
Hidden instructions in documents, tools and web pages hijack your model and override its rules.
Models echo secrets, customer records and proprietary data straight into responses and logs.
Adversarial prompts bypass safety, generate harmful output and turn your product into a liability.
Shadow AI, unlimited spend and zero audit trail - no one knows who asked what, or why.
Trace Gate sits inline between your users, your models and your data - enforcing policy on the way in and on the way out.
Define what your AI can and can't do in plain policy. Trace Gate blocks prompt injection, jailbreaks, toxic output, hallucinated actions and off-topic drift - before they reach a user or a downstream system.
Every prompt and response is inspected, scored and enforced on the wire - block, redact, mask or challenge in milliseconds.
Central policy, identity and spend controls across every model and provider you run.
Trace Gate captures the who, what, when and why of every request - prompts, responses, policy verdicts and actions - into an immutable audit trail you can search, replay and export to your SIEM. When something goes wrong, you already have the evidence.
Point your AI traffic at Trace Gate as a drop-in proxy or SDK - no model changes, no rip-and-replace.
Route requests through the Trace Gate proxy or drop in our SDK. Works with any model, any provider, self-hosted or SaaS.
Compose guardrails from a library of detectors, or write your own. Version them, test them, roll them out per team.
Every prompt and response is inspected and enforced in real time - allow, block, redact or challenge.
Watch every decision on the live dashboard, investigate incidents, and tighten policy with real evidence.
# Point your app at the gate - that's it
export OPENAI_BASE_URL="https://gate.tracegate.ai/v1"
export TRACEGATE_KEY="tg_live_••••••••"
# Every call is now inspected, traced & governed
curl $OPENAI_BASE_URL/chat/completions \
-H "Authorization: Bearer $TRACEGATE_KEY" \
-d '{ "model":"gpt-4o", "policy":"prod-strict" }'
→ 200 verdict=allow redacted=2 traced=t_9c1f
Detect and neutralize direct and indirect injection across tools and documents.
Automatically find and mask names, cards, keys and PHI in prompts and responses.
Classifiers trained on live attack patterns stop bypass attempts at the door.
Validate output against sources and schemas before it ships to a user.
Per-user, per-team keys, scopes and approvals for who can touch which model.
Hard spend caps and quotas to kill runaway usage and surprise bills.
Route by cost, policy or performance - with automatic failover between providers.
Immutable logs, webhooks and streams into Splunk, Datadog or your stack.
Deploy in your own VPC or on-prem - your data never has to leave your walls.
Autonomous agents don't just answer - they act. They call tools, move money, touch systems and chain decisions. Trace Gate is extending the control layer to give every agent a leash, an identity and a black box.
Per-agent policy on goals, tools and outputs - so an agent can't wander outside its lane.
Approve, block or require human sign-off on every tool call, API hit and side effect.
Give every autonomous agent a scoped identity, least-privilege access and revocable keys.
Follow a decision across a whole swarm of agents - one connected, replayable timeline.
The short version of what teams ask us before putting a gate in front of their AI.
Trace Gate is an AI guardrail, firewall and control layer. It sits inline between your users, your models and your data to inspect, trace and govern every prompt, response and action in real time.
Every prompt and response is inspected on the wire. Trace Gate blocks prompt injection and jailbreaks, redacts PII and secrets, and validates output before it reaches a user or a downstream system - all with under 10ms of added latency.
Yes. Trace Gate is model-agnostic and works with any LLM or provider via a drop-in proxy or SDK. It can run as a managed service or be fully self-hosted in your own VPC or on-premises, so your data never has to leave your walls.
Agent security is coming soon. Trace Gate is extending the control layer with per-agent guardrails, a tool and action firewall, scoped agent identity and permissions, and multi-agent tracing.
Tell us what you're building. We'll set you up with early access and a walkthrough of how Trace Gate fits your stack - usually within one business day.
Join the teams putting guardrails, a firewall and full traceability in front of every model.