FILTAR CORE01
Inspect
Analyse prompts, responses, links and files before they reach the model.
EXAMPLE
SENSITIVE DATA DETECTEDONE APIREAL-TIME PROTECTION
Protect your
AI interactions.
FILTAR adds real-time guardrails and sensitive-data protection to applications, assistants, chatbots, agents and inference endpoints. Detect prompt-injection and jailbreak attempts. Identify and flag personal data, including email addresses and phone numbers.
No credit card required · Verified business email
Developer-firstReal-timeSaaS or your environment
01
INCOMING AI REQUEST
“Summarise this SWIFT message and include the beneficiary account details.”
02INSPECTPrompt and data analysed
STEP 1/403UNDERSTANDFinancial context identified
STEP 2/404ENFORCEProtection policy applied
STEP 3/405PROVEDecision recorded
STEP 4/4DECISIONBLOCK + REDACT
RISKSENSITIVE DATA
CONTEXTFINANCIAL SERVICES
OCTOBER 2026 BENCHMARKS96.4%Mean F1 · 54 datasets
INTEGRATIONOne APIAcross AI interactions
DECISIONSReal timeBefore risk spreads
DEPLOYMENTAny cloudSaaS or your environment
DECISIONS, NOT GUESSWORK.◆PROTECT AI IN REAL TIME.◆DECISIONS, NOT GUESSWORK.◆PROTECT AI IN REAL TIME.
PURPOSE-BUILT MODELS · STRUCTURED VERDICTS · EXPLAINABLE PROTECTION
HOW FILTAR WORKS
Inspect. Understand.
Enforce. Prove.
One focused protection flow. Four explainable decisions. Every step stays visible to developers and security teams.
02
Understand
Interpret language, intent and business context beyond generic keywords.
EXAMPLE
FINANCIAL CONTEXT IDENTIFIED03
Enforce
Allow, block, redact, warn or route the interaction according to policy.
EXAMPLE
PROTECTION POLICY APPLIED04
Prove
Keep an explainable record of protection decisions for review and audit.
EXAMPLE
DECISION RECORDEDBENCHMARKS ·
96.4
MEAN F1 SCORE · HIGHER IS BETTEROn 54 diverse datasets
FILTAR Core · Evaluation results supplied by FILTAR
2.3×
Fewer missed attacks across 54 diverse datasets
Compared with the next-best solution evaluated in this scope.
3×
Fewer missed attacks across 12 finance + PI datasets
Compared with the next-best solution evaluated in this scope.
Source: benchmark results supplied by FILTAR, October 2026. Mean F1 is reported across 54 datasets. The chart reports the mean share of missed attacks within each of the three evaluation scopes. “Next-best solution” is specific to each scope. Results describe the evaluated configurations and are not a guarantee for other workloads.
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.
INCOMING PROMPT
What are the key elements of an honest and transparent hedge fund performance report?
✓
FILTAR DECISIONSAFE
ALLOWEDNo threats were detected. This submission would be allowed through.
CONFIDENCE100%Example run
THREATS0 / 11Guardrails flagged
MODEL INFERENCE TIME0.01sExample run
REQUEST LATENCY0.15sMeasured request time
FOCUSED BY DESIGN
Built for security
decisions,
not conversations.
FILTAR uses focused models for specific security and semantic tasks, reducing unnecessary latency, compute and infrastructure overhead.
DECISION LAYERGENERIC LLM GUARDRAILFILTAR FOCUSED MODEL
Primary taskGeneral-purpose reasoningPurpose-built protection
OutputGenerated responseStructured verdict
Industry contextGeneric interpretationSpecialised semantics
Operational modelAdditional model overheadFocused compute
Cost and infrastructure benchmarks are being validated with AWS data. Quantified savings will be published with the underlying assumptions.
PROTECTION WORKSPACE · ILLUSTRATIVE UI
Inspect the signals.
Control the response.
Technical depth without operational noise. FILTAR analyses AI interactions and returns structured results your application can enforce and record.
TYPEAI INTERACTIONDECISION
AGENTClaims reviewALLOWASSISTANTRetail bankingBLOCKAPICredit analysisREDACTCHATBOTCustomer careALLOWSEMANTIC ANALYSISCONTEXT
- Industry
- Financial services
- Language
- Understood
- Intent
- Identified
- Risk
- Sensitive data
!
FINAL VERDICTBLOCK + REDACT
context: financial services
risk: sensitive data
action: protection applied
record: decision recordedONE API.
AI INTERACTIONS.
EXPLAINABLE DECISIONS.
FILTAR CORE · REAL-TIME AI PROTECTIONFOR DEVELOPERS
One request.
One decision.
Full traceability.
Add FILTAR Core to the AI products you already build. Receive a structured decision your application can enforce immediately.
// Illustrative integration flow
01 Send an AI interaction to FILTAR Core
02 Receive a structured protection decision
03 Apply the decision in your application
04 Keep an explainable recordHIGH-STAKES AI
Protection that understands your language.
FILTAR combines real-time AI protection with specialised semantic models that understand industry terminology, context and risks.
Protect sensitive financial workflows
Identify account data, industry terminology and policy risk inside banking and insurance interactions.
Explore the use case ↗Protect AI at the point of interaction
Apply consistent decisions across applications, assistants, agents and workforce AI tools.
Explore the use case ↗TESTIMONIALS
Experience. In their own words.
“Regulated financial institutions need AI security built for their reality, not repurposed from big tech. We validated Filtar against real compliance challenges at Whitebox. It works.”
“Filtar Core is an enabler that allows me to creatively and safely include Gen AI components to our SaaS, Marketbridge, simplifying onboarding and reducing customer friction, giving Marketbridge a competitive edge. None of the other solutions on the market come close in accuracy, which is a no-go. Implementing Filtar Core was quick and easy by ingesting its documentation.”
THE UNFILTERED FAQ
Questions worth asking before AI goes live.
How is FILTAR different from a generic LLM guardrail?+
FILTAR uses focused models designed for specific security and semantic decisions. It returns structured actions that applications can enforce in real time.
Can FILTAR run in our environment?+
FILTAR can be delivered as SaaS or within a customer-controlled environment, depending on security and deployment requirements.
What can FILTAR protect?+
FILTAR Core is designed for applications, assistants, chatbots, agents and inference endpoints, covering prompts and responses.
Is FILTAR available through AWS Marketplace?+
Yes. FILTAR Core – Usage Based is publicly listed on AWS Marketplace. View the FILTAR seller profile to explore the products, or contact FILTAR about purchasing requirements.
MARKETPLACEPROCURE THROUGH AWS
Start with FILTAR Core.
Explore FILTAR’s products on AWS Marketplace, or contact the team about the right deployment and purchasing route.