CyberWhiz AI Pitwall
AI-Powered SMS & Push Notification Security
A final line of defence for trusted mobile communications
Protect Every Message Before It Reaches Your Users
Not every message sent from a trusted application should be trusted.
CyberWhiz AI Pitwall is an AI-powered, context-aware message security platform designed to detect suspicious, malicious, misleading, and inappropriate content in SMS and push notifications before delivery.
By combining artificial intelligence, machine learning, content analysis, and application-specific security policies, CyberWhiz AI Pitwall evaluates whether a message is safe, relevant, and consistent with the application sending it.
Go beyond securing your applications. Secure what they communicate.
Why Notification Security Matters
Trusted Applications Can Deliver Untrusted Messages
Mobile applications and digital services rely on SMS and push notifications to communicate with millions of users.
From financial alerts and smart home notifications to emergency warnings and municipal services, these messages are often considered trustworthy simply because they originate from familiar applications.
But what happens when a legitimate notification channel is compromised or misused?
Attackers who gain access to notification credentials or messaging infrastructure may be able to distribute fraudulent alerts, phishing links, misleading instructions, or malicious content through trusted communication channels.
Traditional security controls focus on protecting applications, APIs, and infrastructure. However, they do not necessarily evaluate whether the content of an outgoing message is appropriate for the application sending it.
CyberWhiz AI Pitwall adds an intelligent security layer to evaluate message content and context before delivery.
Key Features
AI-Powered Content Analysis
Detect potentially malicious, misleading, suspicious, or inappropriate content using a combination of large language models (LLMs), machine learning, and rule-based security analysis.
CyberWhiz AI Pitwall evaluates message content to identify potential threats and deviations from expected communication patterns.
Context-Aware Message Evaluation
Go beyond traditional keyword filtering.
CyberWhiz AI Pitwall evaluates messages against the business context, communication purpose, and security policies of the originating application.
For example, an emergency warning originating from a smart parking application may be flagged as suspicious, even if the message itself contains no malicious links or conventional phishing indicators.
Security is not just about what a message says. It is also about whether the message makes sense.
SMS & Push Notification Protection
Provide a consistent security evaluation layer for outgoing communications across multiple messaging channels, including SMS and mobile push notifications.
CyberWhiz AI Pitwall's API-based architecture enables integration into existing notification workflows without requiring organisations to replace their messaging infrastructure.
Text & Image Analysis
Analyse both textual and visual notification content.
CyberWhiz AI Pitwall's multi-layered analysis architecture combines text processing, optical character recognition (OCR), and AI-powered visual classification to identify suspicious information embedded in messages and images.
Intelligent Risk Scoring & Decision Support
Every evaluated message receives a risk assessment based on its content, context, and applicable security policies.
CyberWhiz AI Pitwall returns one of three actionable recommendations:
The organisation's integrated messaging infrastructure uses these results to determine whether a message should be delivered, withheld, or reviewed.
Cryptographically Signed Message Authorisation
Add another layer of protection against unauthorised notification delivery.
With the appropriate sender-side integration, CyberWhiz AI Pitwall can cryptographically sign approved message information using a customer-specific signing key.
The integrated notification sender can then verify the signature before processing the message.
This enables organisations to enforce a security policy in which only messages that have successfully passed through the authorised CyberWhiz AI Pitwall evaluation workflow are eligible for delivery.
Even if notification service credentials are compromised, an attacker cannot bypass this additional authorisation requirement merely by possessing those credentials, provided that signature verification is enforced and the signing key remains secure.
Customisable Security Policies
Adapt message evaluation to different industries, applications, communication channels, and risk profiles.
Organisations can configure context-specific rules, acceptable communication scenarios, risk thresholds, and review requirements to align security decisions with their business needs.
Explainable Decisions & Auditability
Gain visibility into why messages are flagged.
CyberWhiz AI Pitwall's evaluation architecture supports risk scores, classification results, policy references, and decision records, enabling security teams to investigate suspicious messages and review security outcomes.
How CyberWhiz AI Pitwall Works
An Intelligent Security Check Before Message Delivery
- 1
Message Submission
An application or notification service submits outgoing message content and relevant metadata to the CyberWhiz AI Pitwall Security API.
- 2
Content & Context Analysis
CyberWhiz AI Pitwall evaluates the message using AI-powered text and image analysis, machine learning, rule-based detection, and application-specific context.
- 3
Risk Assessment
The platform combines analysis results with the organisation's security policies to determine the message's risk level.
- 4
Security Recommendation
CyberWhiz AI Pitwall returns an ALLOW, BLOCK, or REVIEW recommendation, together with relevant risk information.
- 5
Message Authorisation
Where cryptographic authorisation is enabled, approved message information can be signed using a customer-specific key.
- 6
Delivery Enforcement
The integrated notification sender applies the organisation's security policy, verifies signatures where configured, and determines whether the message can proceed to delivery.
- 7
Monitoring & Audit
Evaluation results and decision records support security monitoring, investigation, and continuous policy improvement.
Built for Modern Messaging Infrastructure
API-First Architecture
Integrate message security into existing applications, backend systems, and notification delivery workflows through standardised APIs.
Multi-Layered AI Detection
Combine rule-based analysis, conventional machine learning, LLMs, OCR, and visual classification to identify threats that may be missed by traditional filtering techniques.
Scalable Evaluation Architecture
Support high-volume notification environments through a microservices-based architecture designed for efficient evaluation, asynchronous processing, and independent scaling of analysis workloads.
Policy-Driven Security
Apply organisation-specific security rules and risk thresholds while retaining control over final delivery decisions.
Security Monitoring & Traceability
Support investigation and operational oversight through structured evaluation results, risk classifications, and traceable decision records.
Use Cases
Smart Cities & Municipal Services
Protect citizen-facing notifications from misleading emergency alerts, fraudulent municipal announcements, and messages inconsistent with the purpose of public-service applications.
Banking & Financial Services
Identify suspicious transaction notifications, phishing attempts, fraudulent payment instructions, and abnormal communications sent through financial applications.
IoT & Connected Products
Evaluate notifications originating from smart home systems, connected appliances, industrial IoT platforms, and other connected-product ecosystems.
Detect messages that deviate from the expected behaviour or communication purpose of the connected service.
Healthcare & Digital Health
Identify potentially misleading or inappropriate notifications distributed through healthcare applications and connected health platforms, based on the organisation's defined communication policies.
E-Commerce & Digital Platforms
Add security controls to promotional messages, account notifications, order updates, and customer communications to help identify suspicious links, fraudulent content, and unauthorised messaging patterns.
Critical Communications
Introduce an additional verification layer for security-sensitive notifications, operational alerts, and other communications where message authenticity and contextual relevance are particularly important.
Why Choose CyberWhiz AI Pitwall?
Context-Aware Intelligence
Evaluate not only the content of a message, but also its relevance to the application and business environment.
Security Before Delivery
Identify suspicious communications before they reach end users, enabling preventive action through integrated delivery controls.
Additional Protection Against Credential Compromise
Use cryptographic message authorisation to help prevent unauthorised notification delivery, even when messaging service credentials are exposed.
Flexible Integration
Add message security to existing notification workflows through an API-based architecture.
AI + Policy-Based Decision Making
Combine intelligent threat detection with organisation-specific security policies for more relevant and actionable evaluations.
Visibility & Control
Give security teams greater insight into outgoing communications while keeping enforcement decisions within the organisation's messaging infrastructure.
Secure the Message. Protect the Trust.
Your users trust the notifications they receive from your applications.
CyberWhiz AI Pitwall helps you protect that trust by introducing intelligent, context-aware security evaluation and optional cryptographic authorisation into your outgoing messaging workflows.
Because a trusted sender should never be the only reason to trust a message.