ERR_FLAKYTIMEOUT
Tools are flaky
A tool call times out or errors mid-task, and the agent has no structured way to retry, fall back, or fail gracefully.
[ SIGNAL DIAGNOSTIC ]
MCP-Native Trust Gateway
Outpost Gateway
Outpost is a lightweight, high-performance gateway that sits between your AI agent and the tools it calls. It secures tool execution by validating contracts, screening injections, and isolating failures in real time.
01System Architecture
Where Outpost sits in your stack.
Outpost operates as a high-performance proxy gateway between your AI Agent pipelines and the external tools or Model Context Protocol (MCP) servers they execute.
Prompt
AI Agents
CrewAI
LangGraph
AutoGen
Korneza Outpost
Prompt Firewall
AI Guardrails
Secrets Scanner
ScopeGuard
MCP Aggregator
Consolidates tool-calls at proxy scale
LLM Models
OpenAI
Claude
Gemini
MCP Servers
Slack
GitHub
DBs
[ PIPELINE_EGRESS ]
02The problem
An agent is only as trustworthy as the tools it calls.
Every agent tool-call hands control to something outside your model: an API, a script, another service. Most of the time that’s fine. The failures that matter are the ones your agent can’t tell apart from a normal response.
DRIFT_SILENTSCHEMA_DRIFT
Tools drift silently
An upstream API changes its response shape with no warning. The agent keeps parsing the old shape and fails in ways that are hard to trace.
[ SIGNAL DIAGNOSTIC ]
GARBAGE_OUTCORRUPTED
Tools return garbage
A malformed or unexpected response reaches the model as if it were valid, and the agent acts on bad data with full confidence.
[ SIGNAL DIAGNOSTIC ]
HOSTILE_INJECTINJECTION_DET
Tools can be hostile
A tool response — or the content it fetches — can carry an instruction meant for the model, not the user. Without inspection, that instruction is indistinguishable.
[ SIGNAL DIAGNOSTIC ]
[ DEPLOYMENT_BOUNDS ]
03Product · Outpost
One gateway. Three tiers of defense.
Outpost is an MCP-native gateway that sits between your agent and its tools: retries and circuit-breaking, schema-drift detection, behavioral anomaly detection, and prompt-injection scanning on every tool-call.
[ USER REQUEST ]
TIER 0 • INGRESS DISCOVERYLayer 0
Edge
Circuit-breaking, retries, and cache fallback keep a flaky tool from taking your agent down with it.
- Circuit breaker: closed → open → half-open, trips after 3 consecutive failures, 8s cooldown before retry.
- Automatic retries with exponential backoff — 3 attempts, 250ms base delay, doubling each time.
- In-memory response cache serves a stale-but-valid result when a tool is down, instead of a hard failure.
TIER 1 • SCHEMA VALIDATIONLayer 1
Structural
Every response is checked against a registered contract, so silent schema drift gets flagged instead of quietly breaking your agent's parsing.
- Structural validation against a registered schema — missing or mistyped fields are caught before they reach the model.
- Schema-drift detection diffs live responses against a baseline contract and classifies changes as missing, added, or retyped.
- Heuristic rename detection — a dropped field plus a new field of the same type is flagged as a likely rename.
TIER 2 • SECURITY SHIELDLayer 2
Anomaly & security
The last checkpoint before a response reaches your model: behavioral anomalies and hostile payloads get flagged or redacted.
- Behavioral anomaly detection flags responses with latency more than 2.5× the tool's established baseline.
- Prompt-injection and exfiltration scanning across six real attack patterns: instruction override, system-role impersonation, role reassignment, data exfiltration, outbound exfiltration URLs, and unauthorized action requests.
- Matched payloads are redacted before the response reaches the agent, instead of passed through unmodified.
[ SECURE SAFE RESPONSE ]
Integrate Outpost
Request beta access today
Ready to secure your agent workflows with Outpost? Reach out to request access to our private beta and discuss your integration requirements.