SuperCom has introduced SafeGenie, a cybersecurity product suite designed to monitor and control autonomous artificial intelligence (AI) agents in real time. The solution aims to help enterprises manage the security risks associated with AI systems that can access business applications, process information and execute tasks with limited human intervention.
Announced on October 21, 2026, SafeGenie combines patent-pending technology developed for agentic AI security with endpoint protection capabilities from Safend, SuperCom's wholly owned cybersecurity subsidiary.
Addressing the Security Risks of Agentic AI
AI agents are increasingly being used to automate software development, research, data processing and other enterprise workflows. However, their ability to take actions independently can introduce new security challenges.
An AI agent operating with an employee's permissions could potentially access sensitive files, transfer confidential information or execute unauthorised actions. Malicious instructions hidden in documents, emails or other content can also create risks when agents interpret and act on them.
Traditional security systems were not always designed to manage software that can make decisions and perform multiple actions autonomously. This has increased demand for security tools that can monitor AI behaviour and enforce organisational policies.
How SafeGenie Works
According to SuperCom, SafeGenie evaluates the context and intent behind an AI agent's actions and can allow, flag or block potentially risky activities before they are completed.
The product operates at the kernel level, beneath applications and AI agents, using Safend's endpoint security technology. This approach is designed to help organisations enforce security policies directly on supported devices rather than relying exclusively on network monitoring.
SafeGenie also includes prompt protection for conventional generative AI use, extending its intended coverage beyond autonomous agents.
The company says the technology can protect supported endpoints both online and offline, including devices running AI agents locally.
Built on Safend's Enterprise Security Infrastructure
Safend brings an established endpoint security foundation to the new product. SuperCom says Safend's technology has been deployed across millions of endpoints and is backed by 27 issued patents.
The combination is intended to build on existing security infrastructure while addressing risks specific to agentic AI. SuperCom believes its experience serving government agencies, defence organisations and enterprises could support adoption among customers seeking greater control over AI deployments.
Enterprise Rollout and Market Expansion
SuperCom plans to begin the rollout by integrating SafeGenie with Safend's infrastructure and offering it to existing customers through direct sales and distribution channels across the United States, Europe and Asia.
The company intends to expand availability to its government customers and other enterprises in subsequent phases. SafeGenie will be offered as a separate subscription alongside existing Safend licences and maintenance agreements.
The launch comes as businesses explore ways to deploy AI agents while maintaining oversight of data access, application permissions and automated decisions.
AI Security Spending Continues to Grow
As enterprises adopt AI across business operations, security teams face the challenge of balancing automation with accountability.
SuperCom cites Gartner forecasts indicating that spending on AI security could increase from approximately $2.8 billion in 2026 to nearly $7.7 billion by 2028. This projected growth reflects rising interest in technologies designed to address emerging AI-related risks.
For businesses, the priority is not simply to prevent AI adoption but to establish clear rules for what agents can access and do. Monitoring, permission controls and real-time intervention may become increasingly important components of enterprise AI governance.
Conclusion
SuperCom's launch of SafeGenie highlights the growing focus on securing autonomous AI systems as they become more deeply integrated into enterprise workflows.
By combining agent-focused controls with endpoint security technology, the company aims to help organisations prevent unauthorised actions and reduce the risk of sensitive data exposure. Adoption will depend on how effectively the product integrates into existing environments and demonstrates value for businesses deploying AI at scale.
