SMS is used for login codes and alerts, but text messages can be intercepted, spoofed, or redirected through phone-account attacks.
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Background for this topic.
SMS (Short Message Service) is a standardized mobile-network service for sending short text messages between phone numbers. It is widely used for person-to-person communication, service notifications, and one-time authentication codes, but messages are generally not end-to-end encrypted and may be visible to mobile operators or infrastructure handling delivery.
Security concerns include smishing—phishing delivered by text—along with sender-ID spoofing, malicious links, and social engineering. Account recovery and SMS-based multi-factor authentication can also be undermined when an attacker takes control of a phone number through SIM swapping, abuses carrier processes, or exploits signaling-system weaknesses. Organizations should avoid treating SMS as a high-assurance authentication factor where stronger options are practical, restrict sensitive content in texts, monitor number-change and authentication events, and train users to verify unexpected messages through a trusted channel.
The initial onboarding stage is a crucial step for both employees and employers. However, this process often involves the practice of sharing temporary first-day passwords, which can expose organizations to security risks
The opportunities to use AI in workflow automation are many and varied, but one of the simplest ways to use AI to save time and enhance your organization’s security posture is by building an automated SMS analysis service. Workflow automation platform Tines provides a good example of how to do it. The vendor recently released their first native AI features, and security teams have already