Security & Policies
Rules agents can't talk their way past, checked before every action.
- Input, output and retrieval rails
- QASA authorizes every tool call
- Policy over policy at load time
Runtime governance for multi-agent systems
Govern what agents do, not just what they did.
QuadRails observes every agent action and runs it on four pillars: security and policies, evals, cost and performance. Underneath them, OXP traces and explains every decision, so you can prove each control works.
A Quadrant Technologies product
Why QuadRails
Agents are already acting. Most of them answer to no one.
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Agents call tools nobody approved.
Most frameworks let any agent call any tool. There is no clearance, no gate and no record of why it was allowed.
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You find out after the damage is done.
Dashboards show what happened. They don't stop what shouldn't happen, and they can't tell you whether a guardrail would have caught it.
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Governance lives in documents, not in the runtime.
Policies are written for reviewers. Engineering has no way to enforce them on every agent, in every team, at every step.
The platform
Four rails, standing on what you can see.
Each rail is a set of controls with an owner, a test and a reason to change it. All four sit on one observability foundation, because a guardrail you can't trace is a guardrail you can't trust.
Evals
Proof that an agent is good enough to ship, and stays that way.
- Golden sets and release gates
- Groundedness and drift detection
- Judge models tested against people
Cost
Budgets enforced before the model runs, not discovered on the invoice.
- Budgets by team, app and agent
- Cheaper model or block when short
- Cost per task, not per token
Performance
Controls that stay fast enough to leave on in production.
- Latency budgets per risk tier
- Deterministic checks first
- Tripwires on runaway loops
Observability is the foundation.
OXP, the Observability and Explainability Platform, traces every action, tool call and verdict, scores each session and explains every decision.
Session health scoreGroundednessTool-use accuracyDecision receiptsTrace replayCost and tokensLatency per guardrailOpenTelemetry export
Test scenarios
Test before you trust.
Run your multi-agent system against the same scenario twice, with guardrails off in an isolated sandbox and on in a protected run. Compare the outcome, the trace and the cost.
Unapproved tool call
User asks for an account summary. The agent proposes delete_records.
Guardrails off (sandbox)
Tool executes. 412 synthetic records removed.
No record of why the call was allowed.
Guardrails on
Blocked before the backend. Zero calls made.
Reason: tool not in the agent's manifest for this task.
0 msintent account.summary · agent ops-assist-04
212 mstool_call.proposed delete_records(scope=all)
226 mspolicy tool-allowlist.v7 → BLOCK tool_not_selected_by_llm
227 msreceipt 9f2c-41ab · backend calls 0
Injection inside a document
A retrieved file tells the agent to export customer data to an outside address.
Guardrails off (sandbox)
Agent follows the hidden instruction and sends the export.
The retrieved text was treated as trusted.
Guardrails on
Source marked untrusted. Export blocked.
The trace shows exactly where the instruction came from.
0 msintent contract.review · agent legal-reader-02
540 msretrieval doc_7781 · trust untrusted
910 mstool_call.proposed http.post(external)
931 mspolicy egress.v3 → BLOCK tool_intent_mismatch
Ambiguous “clean up” request
User asks to clean up old records. The agent proposes an irreversible delete.
Guardrails off (sandbox)
Records deleted on the agent's reading of “clean up”.
Nobody was asked.
Guardrails on
Paused for a person to approve, edit or reject.
The approver sees the evidence, not the agent's summary of it.
0 msintent records.maintenance · agent data-steward-01
380 mstool_call.proposed archive.purge(age>365d)
402 mspolicy irreversible-actions.v2 → REVIEW approver data-owner
Tool use the task allows
User asks for an account balance. The agent proposes get_balance.
Guardrails off (sandbox)
Balance returned.
Same answer, no evidence trail.
Guardrails on
Allowed in 14 ms. Balance returned.
Not everything gets blocked: in-scope work runs at full speed.
0 msintent account.balance · agent ops-assist-04
190 mstool_call.proposed get_balance(acct=…2231)
204 mspolicy tool-allowlist.v7 → ALLOW
Team budget exceeded
An agent loops on repeated model calls past the team's daily cap.
Guardrails off (sandbox)
Calls continue until someone notices the bill.
Spend is reconciled weeks later.
Guardrails on
Reservation fails at the cap. Agent throttled.
Routed to a cheaper approved model or stopped, per policy.
0 msbudget team.claims · reserve 4,000 tokens
3 msledger daily cap 98% used
4 mspolicy budget.v1 → THROTTLE route to approved fallback
How it works
One pipeline at every boundary.
QuadRails intercepts execution before a tool fires, after a model responds and whenever one agent hands work to another. Deterministic rules decide first; a model judge can only add restrictions.
Agent acts
A prompt, plan, tool call or hand-off to another agent.
Intercept
A QASA sidecar beside the agent catches it.
Evaluate
Identity, scope, budget and intent are checked.
Verdict
Allow, block, modify, escalate or throttle.
Enforce
Only approved tools appear in the agent's token.
Record
The decision and its evidence land in OXP.
Security coverage
Designed against all ten OWASP agentic risks.
Every risk has a primary control, and most have two. No single guardrail is enough on its own.
ASI01Goal hijackInput and planning rails
ASI02Tool misusePer-task tool allow-lists
ASI03Identity abuseVerified agent identity
ASI04Supply chainSource validation
ASI05Code executionExecution rings, sandboxing
ASI06Memory poisoningRetrieval rails
ASI07Agent-to-agent trafficSigned messages, trust gating
ASI08Cascading failuresCircuit breakers, rollback
ASI09Trust exploitationIndependent evidence for approvers
ASI10Rogue agentsTrust scores, quarantine, off switch
Built by Quadrant Technologies
From the team that runs AI in production every day.
Regulated industries
Healthcare, finance and public sector: guardrail profiles mapped to risk tiers, with a full audit trail.
Platform teams
One policy engine for every team's agents, without slowing anyone's release.
Copilot and agent builders
Guardrails that travel with the agent from development to production.
370+AI engineers across six practice areas
800+engineers working inside Microsoft
30+AI solutions delivered on Microsoft platforms
24/7governed AI operations, follow the sun
Bring one agent. Leave with evidence.
A QuadRails session runs your agent through real scenarios with guardrails off and on, and hands you the traces.