EXPLAINABLE AI PROTECTION ONE PROTECTION FLOW

ONE PROTECTION FLOWFOUR LAYERS

Inspect. Understand.
Enforce. Prove.

FILTAR analyses AI interactions and returns structured results your application can enforce and record. Every layer remains visible to developers and security teams.

protection-flow / trace4 STEPS
01 INSPECT — signals collected02 UNDERSTAND — context interpreted03 ENFORCE — policy applied04 PROVE — decision recorded
TRACE COMPLETEDECISION EXPLAINABLE ✓

THE DECISION PIPELINE

From interaction to action.

Each layer has a specific role. Together, they create one consistent protection path.

01 / INPUT

Inspect

Analyse prompts, responses, links and files before they reach the model.

SIGNALS COLLECTED
02 / CONTEXT

Understand

Interpret language, intent and business context beyond generic keywords.

CONTEXT IDENTIFIED
03 / POLICY

Enforce

Allow, block, redact, warn or route the interaction according to policy.

POLICY APPLIED
04 / TRACE

Prove

Keep an explainable record of protection decisions for review and audit.

DECISION RECORDED

REAL PRODUCT EXPERIENCE

See the decision
before the risk spreads.

Explore two example executions captured in the FILTAR test interface. Timings shown are specific to these runs and are not general performance guarantees.

Inference is the model’s evaluation time. Request latency is the measured time for the wider request path, including processing overhead. Values below are individual example runs, not benchmark averages or performance guarantees.

FILTAR / TEST INTERFACE EXAMPLE EXECUTION
INCOMING PROMPT

What are the key elements of an honest and transparent hedge fund performance report?

✓
FILTAR DECISIONSAFE

No threats were detected. This submission would be allowed through.

ALLOWED
CONFIDENCE100%Example run
THREATS0 / 11Guardrails flagged
MODEL INFERENCE TIME0.01sExample run
REQUEST LATENCY0.15sMeasured request time

VISIBLE BY DESIGN

Security teams see why. Applications know what to do.

FILTAR returns a structured protection decision while preserving the context needed for review and audit.

decision / structured-outputEXAMPLE DECISION
{decision: "REDACT",reason: "SENSITIVE_DATA",context: "FINANCIAL_SERVICES",trace: "RECORDED"}
IMPLEMENTATION REFERENCESEE API DOCS ✓