Secure AI

Runtime security for every model,
agent, and AI workflow

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One security loop
across your AI stack

EU-BASED AI SECURITY CONTROL PLANE

Security rails for
enterprise AI.

Continuously test, guard, and trace LLM applications, agents, and workflows — from first adversarial test to every runtime decision.

Built around OWASP GenAI risks and NIST AI RMF concepts
LIVE CONTROL PLANELIVE

claims-assistant / eu-central

INPUT
TEST
GUARD
TRACE
Policy matchedpii-output-v4
Tool constrainedcrm.read / scoped
Evidence signedtrace pr_8f31
Runtime policy healthy18,420 decisions
SCROLL TO FOLLOW THE RAIL
Designed for teams deploying with
OpenAIAnthropicGoogle CloudMicrosoft AzureAWSMistral AI
Technology ecosystem references, not customer endorsements.
02 / THE ATTACK SURFACE

Every new capability creates
a new decision to defend.

The threat is no longer only what the model says. It is what the agent can access, trigger, reveal, and repeat.

01
retrieved text
instruction
isolated

Prompt injection

Malicious instructions override intended behavior.

02
private context
model output
redacted

Sensitive data

Private context appears in prompts, outputs, or tools.

03
agent intent
privileged tool
review

Excessive agency

An agent acts beyond the permission or intent it needs.

04
tool request
scope check
blocked

Unsafe tools

A valid request reaches the wrong downstream action.

03 / ONE CONTINUOUS SECURITY LOOP

Test before release.
Guard every decision.
Trace what happened.

One policy and evidence model across the AI lifecycle.

04 / POLIRAIL TEST

Find the failure
before users do.

Automated adversarial testing for prompts, retrieval, tools, and agent behavior. Turn findings into release gates and runtime policies.

Explore PoliRail Test
RED TEAM RUN / checkout-agent-v642 scenarios
01Indirect prompt injectionBLOCKED
02Sensitive data extractionREVIEW
03Tool escalationBLOCKED
04System prompt disclosurePASSED
05Unbounded task loopPASSED
Finding RT-2048Indirect injection reached a privileged tool.
05 / POLIRAIL GUARD

Put policy in the path
of every agent action.

Inspect prompts, context, outputs, and tool calls before they become business actions.

Explore PoliRail Guard
Inputuser + context
Intentrefund order
Policyapproval-required
Toolpayments.refund
Decisionroute to review
Human approval required before refund
06 / POLIRAIL TRACE

Every decision leaves
an explainable record.

Search prompts, context, policy decisions, tool calls, and reviewer actions as one evidence chain.

Explore PoliRail Trace
Input received14:32:08.417 / source: web-chat
Policy evaluated14:32:08.441 / pii-output-v4
Action paused14:32:08.449 / risk: high
Reviewer approved14:34:21.102 / owner: m.nowak
Evidence signedtrace pr_8f31 / retention: 365d
DECISION ANATOMY / LIVE POLICY PATH

One decision.
Every layer visible.

See the intent, context, policy, tool request, reviewer action, and evidence record without reconstructing them across separate systems.

LIVE DECISIONtravel-assistant / run_91a7
REVIEW ROUTE
Agent intentcancel booking
Contextcustomer + trip
Policy switchapproval-required
Tool requesttravel.cancel
Human reviewReason required
PAUSED
POLICYdestructive-action-v3
RISKElevated
OWNERTravel operations
EVIDENCEtrace_pr_91a7
07 / AGENTS THAT DO REAL WORK

Different agents.
One control plane.

08 / BUILT FOR ACCOUNTABLE AI OPERATIONS

Controls teams can explain.
Evidence auditors can follow.

PoliRail supports technical risk programs aligned with leading AI security and governance frameworks. Alignment is not certification.

EU AI ActRisk, logging, documentationSUPPORTED
OWASP GenAIPrompt and agent risk patternsSUPPORTED
NIST AI RMFMap, Measure, ManageSUPPORTED
GDPRData handling and minimizationSUPPORTED
EVIDENCE PACKAGE

Release 2026.07.18

Test coverage mapped
Runtime policies active
Critical actions reviewed
Incident trace attached
Retention policy applied
09 / WHAT BUYERS NEED

One view for teams
with different questions.

“Can we prove this agent was tested before release?”Composite research insight / Application Security
“Can we stop one unsafe action without disabling the entire workflow?”Composite research insight / AI Platform
“Can we reconstruct the decision for an audit or incident?”Composite research insight / Risk & Governance
PLANS THAT FOLLOW YOUR AI PROGRAM

Start with one application.
Expand to a control plane.

Pilot

Prove the Test–Guard–Trace loop on one production-bound AI application.

View plan
Enterprise

Deployment, governance, and support for regulated AI portfolios.

View plan
DEPLOY AI WITH EVIDENCE, NOT ASSUMPTIONS

See how PoliRail fits
your AI stack.

Bring one LLM application, agent, or workflow. We’ll show how Test, Guard, and Trace create a continuous security loop.

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