INDUSTRY-AWARE AI PROTECTION SPECIALISED SEMANTIC MODELS

USE CASESCONTEXT-AWARE

AI security that
understands
your language.

FILTAR combines real-time AI protection with specialised semantic models that understand industry terminology, context and risks.

semantic-context / classifierILLUSTRATIVE
language: ENindustry: FINANCIAL_SERVICESintent: PAYMENT_INSTRUCTIONdata: SENSITIVEpolicy: REDACT + REVIEW
BUSINESS CONTEXTIDENTIFIED ✓

Not just keywords.
Business context.

01 / FINANCIAL SERVICES

Protect sensitive financial workflows.

FILTAR interprets terminology and interaction context, not just generic keywords. This helps security teams apply decisions based on the interaction and business context.

Discuss a financial-services use case →
Payment and account contextIDENTIFY
Sensitive financial informationPROTECT
Policy-aligned decisionENFORCE
Explainable recordPROVE

02 / ENTERPRISE AI

Protect AI at the point of interaction.

Apply a consistent protection flow across applications, assistants, chatbots, agents and inference endpoints, with deployment as SaaS or within a customer-controlled environment.

See how the protection flow works →
Applications and assistantsCORE
Chatbots and agentsCORE
Inference endpointsCORE
Workforce browser interactionsPOC

SPEAK THE LANGUAGE OF THE BUSINESS

One security foundation. Industry-specific context.

Specialised semantic models help FILTAR recognise meaning, sensitive concepts and risk in the vocabulary your organisation actually uses.

LANGUAGE

Interpret meaning in context

Move beyond keyword matching to understand how specialised terms are used.

DOMAIN

Adapt to industry workflows

Shape protection around the terminology and risk patterns of each domain.

DECISION

Apply relevant controls

Return security decisions based on the interaction and business context.

WHERE FILTAR PROTECTS AI

From customer conversations to cloud inference.

Use the same protection foundation across customer-facing, internal, agentic and infrastructure use cases.

01 · CUSTOMER-FACING AI

Protect customer chatbot interactions

Inspect prompts and outputs for unsafe content, attacks and sensitive information before they reach customers.

  • Protect customer data
  • Block malicious or unsafe requests
  • Keep evidence of protection decisions
02 · INTERNAL AI

Protect assistants connected to company knowledge

Secure copilots and internal assistants that interact with confidential documents, customer data and operational systems.

  • Prevent sensitive-data exposure
  • Apply consistent controls
  • Support regulated workflows
03 · AGENTIC AI

Control what agents exchange and execute

Inspect agent-to-agent messages, tool calls and responses before automated actions create downstream risk.

  • Validate messages and actions
  • Block prompt injection
  • Prepare for gateway-level enforcement
04 · AI INFRASTRUCTURE

Turn cloud inference into a protected runtime

Add a pre- and post-inference layer across hyperscaler, neocloud, private-cloud and sovereign endpoints.

  • Any cloud, any model
  • Keep data within the deployment boundary
  • Reduce security overhead with SLMs
05 · WORKFORCE AI

Protect employee AI use at the point of interaction

A future enterprise browser capability will allow selected clients to protect prompts, links and files at the point of use.

  • Controlled enterprise deployment
  • Connected to FILTAR Core
  • Distribution model under review

SEMANTIC PROTECTION

Security decisions aligned with the interaction.

FILTAR’s focused-model approach is designed to interpret language, intent and industry context before returning a structured action.

INSPECT

Read the complete interaction

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

INPUT + OUTPUT SIGNALS
UNDERSTAND

Interpret context

Identify language, intent, terminology and business context beyond generic keywords.

SPECIALISED SEMANTICS
ENFORCE

Return an action

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

STRUCTURED DECISION