Azalio TrustGuard

AI-Powered Anti-Spam & Anti-Scam Protection for Telecom Networks

Stop spam campaigns, phishing links, caller impersonation and first-seen scams across SMS, voice, links and partner APIs, before they reach your subscribers. Legitimate OTPs, banking alerts and enterprise messages keep flowing.

The problem

Scams Erode Subscriber Trust Faster Than Filters Adapt

Every scam that gets through costs subscribers money and costs the operator trust, care workload and regulatory standing.

Scams outpace blocklists

New campaigns start small - fresh domains, new numbers, reworded templates. Static lists only catch them after subscribers are harmed.

Volume hides intent

Bulk spam arrives in obvious waves, but the costliest scams are low-volume and built to create urgency, trust or fear.

Over-blocking breaks trust too

Filtering that stops an OTP, a banking alert or a government notice does as much damage as the scam it was meant to catch.

How it works

One Intelligence Layer That Decides Before Enforcement

TrustGuard sits between traffic ingress and your existing enforcement points. Operator policy is always checked first, then reputation and AI score the event - and two cooperating paths keep it both fast and deep.

Incoming traffic
SMS · voice · links · APIs
Policy first
Allowlists, protected senders, rules
Risk analysis
Reputation, behaviour, AI scoring
Decision
Confidence-based verdict
Action
Allow · warn · quarantine · block

Inline fast path

Makes the live allow / warn / block / label decision within a strict latency budget.

Policy & allowlistsHot reputationCompact ML modelsCached URL verdictsConfidence fusion

Asynchronous deep-analysis path

Never blocks live delivery - it strengthens reputation, evidence and every future decision.

Link expansion & page renderingBrand-impersonation checksFraud-ring graph analyticsCross-channel correlationAI reasoning & explanations

Safe degradation: if any analysis service slows or fails, live traffic is never held - decisions fall back to the latest policy, reputation and cached verdicts.

Coverage

Protection Across Every Communication Channel

Each channel behaves differently, so each gets the controls that actually work for it - under one shared intelligence and policy layer.

SMS protection

Content, sender and link intelligence

Threats

Spam campaigns, phishing links, brand impersonation, malicious callback numbers.

How TrustGuard decides

Sender and route reputation, multilingual scam-language scoring, template similarity and URL intelligence.

Outcome

Suspicious SMS blocked, warned or clearly flagged - verified business senders delivered untouched.

Protection subscribers can see

Subscriber Experience

TrustGuard stays the authoritative decision layer in the network, while your self-care app - through APIs today, or an embeddable SDK - turns those decisions into a visible, trusted experience.

TrustGuard protection
Incoming call
+62 21 xxxx 0198
Scam likely
ReportNot spam

Caller labels

Trusted, unknown, spam or scam - shown as the phone rings.

Suspicious SMS alerts

Warnings and context on risky messages, in the inbox or in-app.

Risky-link warnings

A stop / warn / continue screen before a suspicious page opens.

Report & dispute

One tap to report a scam or correct a wrong label - feeding the model.

Weekly protection digest

A summary of what was blocked and warned, so protection is visible.

Works without the app

Network-side protection covers every subscriber, app or not.

Why TrustGuard

Smarter Detection. Inside Your Network. Fully Governed.

Three things set TrustGuard apart from blocklists and point filters.

Detection that keeps up

  • First-seen scams

    Novelty scoring, semantic similarity and new-domain risk flag campaigns on first appearance.

  • Cross-channel intelligence

    A lure seen in SMS raises risk for the same campaign on voice and links.

  • Learns your network

    Pre-trained for Day 1, then tuned to your senders, routes and local languages.

Deployed inside your network

  • On-premises

    Runs on Kubernetes or OpenShift; traffic, evidence and training never leave your environment.

  • Dual-site, active-active

    Carrier-grade resilience, sized from your measured busy-hour traffic.

  • Fits your stack

    SIGTRAN / M3UA, SMPP, SIP / IMS, DNS / RPZ, REST & gRPC APIs, app SDK.

Governed and explainable

  • Explainable verdicts

    Reason codes, evidence links and model and policy versions on every decision.

  • Human review for uncertainty

    First-seen threats go to warn or review - never straight to block.

  • Privacy and audit

    Masked training data, role separation and dashboards for executives, fraud ops and care.

Pilot evaluation

Prove the Value Before a Single Subscriber Is Affected

The first three stages run entirely in observe and shadow mode. Your teams see quantified missed threats, false-positive risk and business impact before any enforcement is switched on.

1

Discovery & assessment

Map your traffic, control points, protected senders and threat landscape. Agree success criteria.

No subscriber impact
2

Integration & configuration

Connect channel feeds, load existing lists and protected business flows, stand up dashboards.

No subscriber impact
3

Observe & shadow scoring

TrustGuard scores live traffic alongside your current controls - showing what is missed today, and where AI would have been wrong.

No subscriber impact
4

Controlled enforcement

Warnings and labels for small cohorts first, then selective blocking for high-confidence threats.

Controlled, governed
5

Optimisation & handover

Locally tuned models are promoted, thresholds finalised, runbooks and care workflows handed over.

Production protection