e& Egypt selected BroadNet to eliminate A2P leakage with an AI firewall.
In October 2024, e& Egypt — the Egyptian arm of e& (formerly Etisalat Group) — announced an exclusive A2P SMS partnership with BroadNet Technologies, delivered through BroadNet's machine-learning SMS firewall. The announcement was carried by Khaleej Times, Gulf News, Telecompaper and MEA Tech Watch, with on-camera coverage by Khaleej Times and Gulf News on the same day.
- Sub-second
- Scoring latency per A2P submission through the firewall
- 100%
- Of the enterprise A2P surface inspected by the firewall — no bypass path
- No SMSC change
- Enterprise accounts, bind parameters and CDR generation unchanged at cut-over
- Exclusive
- A2P SMS partnership through the firewall, announced October 2024
Covered independently by
At a glance
The partnership in one view.
Who the customer is, what BroadNet runs for them, how it went live, and the rules that govern the traffic.
Of the enterprise A2P surface inspected by the firewall — no bypass path
- Customer
- e& Egypt — the Egyptian operating arm of e& (formerly Etisalat Group)
- Segment
- Tier-1 mobile network operator
- Market
- Egypt · MENA
- Partnership
- Exclusive A2P SMS partnership, announced October 2024 and covered by Khaleej Times, Gulf News, Telecompaper and MEA Tech Watch
- What BroadNet deployed
- SMS FirewallAnti-fraud SMS analyticsSender-ID registrySMSC gateway
- How it was rolled out
- A transparent SMPP layer between the upstream aggregator binds and the SMSC. Enterprise accounts, bind parameters and CDR generation stayed unchanged at cut-over, and delivery receipts kept the original operator timestamp.
- Regulators referenced
- NTRA·Egypt
- Coverage
- SMS coverage · Egypt
Every line restates what this case study and the public record already say. Volumes and outcome metrics stay under NDA.
“We are thrilled to join forces with e& Egypt to shape the future of telecommunications with AI-driven messaging solutions.”
The challenge
A2P revenue
versus grey routes.
Like every tier-1 MNO in MENA, e& Egypt operates a high-value A2P SMS estate. Enterprise senders — banks, fintech, logistics, e-commerce — depend on the network for delivery of OTPs, transactional confirmations and marketing alerts.
That same surface is the target of grey-route aggregators, SIM-box origination, sender-ID spoofing and SMS phishing. Each of these patterns leaks revenue away from the operator while degrading the trust enterprises place in their A2P channel.
Solving it requires a firewall that runs at line rate, learns from real network telemetry rather than a static rule pack, and integrates cleanly with the operator's SMSC and SS7 edge — without changing the operator's commercial relationships with its enterprise customers.
The solution
Machine-learning SMS firewall,
deployed exclusively.
Machine-learning fraud detection
Transcript-level signal extraction, behavioural fingerprinting and sender-ID anomaly detection — running per inbound A2P submission, sub-second.
Operator-grade firewall in front of the SMSC
Transparent SMPP front-end. Preserves message ordering, DLR pass-through and CDR semantics. No SMSC config change required.
Real-time analytics for fraud + revenue teams
Per-bind, per-sender-ID, per-route dashboards. Operators see the leakage shape in their own data, with audit-grade exports.
Exclusive A2P scope
Partnership announced as exclusive for A2P SMS services through the firewall — surfaced by every outlet that covered it.
Outcomes
What the partnership ships.
Public-facing outcomes as announced and reported. Per-traffic numbers stay with e& Egypt; the architecture below is the category-level read.
Real-time fraud detection at line rate
A2P partnership scope inside e& Egypt's network
Goal of the firewall design — protect every A2P send
Traffic analytics + operator dashboards
Architecture & integration
In-line with the SMSC,
invisible to the sender.
The firewall is deployed as a transparent SMPP layer between the operator's upstream aggregator binds and the SMSC. Enterprise senders keep the same bind parameters, sender IDs and DLR contract they had before cut-over — the difference is that every submission is now scored, classified and either passed, throttled or blocked before it reaches the SMSC.
Because the layer is transparent, integration did not require the operator to re-provision enterprise accounts or change CDR generation. Delivery receipts flow back on the existing path with the original operator timestamp preserved, so billing reconciliation and revenue-assurance reporting keep working unchanged.
- 1Enterprise / aggregator submit
OTP, transactional and marketing A2P arrives over the operator's existing SMPP binds — no change to sender configuration.
- 2Firewall inspection
Sender-ID validation against the registry, behavioural fingerprinting and ML fraud scoring run per message, sub-second.
- 3Policy decision
Pass, throttle or block. Grey-route and spoofed-header traffic is stopped before it can leak revenue or reach a subscriber.
- 4SMSC + delivery
Legitimate traffic is handed to the SMSC in original order; DLRs return on the existing path with the operator timestamp intact.
- 5Analytics + audit
Every decision is written to per-bind, per-sender-ID and per-route dashboards with audit-grade exports for fraud and revenue teams.
Products used
Transparent SMPP front-end in front of the SMSC — the machine-learning enforcement point for every inbound A2P submission.
Behavioural fingerprinting, sender-ID anomaly detection and grey-route classification, scored per message sub-second.
Managed allow-list of legitimate enterprise sender IDs so spoofed and unregistered headers are dropped at the edge.
Carrier-grade store-and-forward that preserves message ordering, DLR pass-through and CDR semantics for billing reconciliation.
The results
Leakage becomes
visible, then closed.
The first outcome of any firewall cut-over is visibility. Before the deployment, grey-route origination and sender-ID abuse are invisible in the operator's own reporting — the revenue simply never arrives. With the firewall in line, every rejected submission is classified and counted, so the fraud and revenue-assurance teams see the shape of the leakage in their own dashboards for the first time.
From there the objective is zero leakage on the A2P estate: spoofed sender IDs are dropped, grey-route traffic is forced back onto contracted paths, and OTP-abuse patterns are throttled before they can be monetised by a third party. The enterprise experience is unchanged — legitimate OTPs and transactional messages continue to land sub-second — while the revenue that used to leak now terminates on the operator's own commercial routes.
Because the partnership is exclusive for A2P SMS through the firewall, there is no bypass path left open: 100% of the enterprise messaging surface is inspected, so the analytics represent the whole estate rather than a sampled subset. Specific per-traffic figures remain with e& Egypt; the architecture above is the category-level read of how the outcome is produced.
“BroadNet's advanced technology offers real-time monitoring, fraud detection, and detailed traffic analytics — enabling both enterprises and operators to streamline operations and maximise efficiency.”
External coverage
The announcement, in their words.
Independent coverage of the BroadNet × e& Egypt partnership. Each link opens the original publication.
e& Egypt is the Egyptian operating arm of e& (formerly Etisalat Group), one of the largest telecom groups in the MENA region. The partnership announced in October 2024 covers exclusive A2P SMS services delivered through BroadNet's machine-learning SMS firewall.
BroadNet Technologies is a Dubai-headquartered messaging infrastructure provider operating since 2003. GSMA Member, MEF member, ISO 27001 / 9001 / 22301 certified. SMS firewall, SMSC, signaling firewall and CPaaS deployed across tier-1 MNOs in MENA, Africa and Asia.
Same architecture, your network.
BroadNet's machine-learning SMS firewall is deployed across MNOs in MENA, Africa and Asia. Operator briefing on the deployment model, integration timeline, and commercial structure is available on request.