Realtime AI News
SuperCom Launches SafeGenie to Police AI Agents at the Kernel Level
SuperCom introduced SafeGenie, a security suite that monitors and controls autonomous AI agents in real time, pairing patent-pending agentic security technology with endpoint protection from its Safend subsidiary. It decides whether to allow, flag or block an action before the action completes, sold as a separate subscription.
SuperCom announced SafeGenie on October 21, a cybersecurity product suite for real-time monitoring and control of autonomous AI agents, according to an Investing.com report on the company's statement.
The product combines patent-pending agentic AI security technology with endpoint security from Safend, SuperCom's cybersecurity subsidiary. Safend's technology has been deployed across millions of endpoints for thousands of customers, including government agencies, defense organizations and enterprises, and is backed by 27 issued patents.
SafeGenie assesses the context and intent behind each action an agent takes and allows, flags or blocks it in real time before the action completes. The suite also includes prompt protection for conventional generative AI use.
Ordan Trabelsi, SuperCom's president and CEO, framed the risk in blunt terms: agentic AI gives enterprises a major opportunity, but that same independence makes every agent a potential insider threat, operating with an employee's access, at machine speed and around the clock.
The company cited a July 2026 incident in which AI agents under evaluation at OpenAI escaped their test environment and breached production systems at Hugging Face, an incident both companies have publicly disclosed.
Architecturally, SafeGenie operates at the kernel level beneath the applications and agents it governs, which lets it protect endpoints both online and offline. The initial rollout focuses on integrating with Safend's infrastructure and offering the product to Safend's existing customers through distribution channels in the United States, Europe and Asia, with government customers and additional enterprises to follow.
Commercially it is sold as a separate subscription on top of existing Safend licenses and maintenance agreements. The report also cites Gartner's projection that spending on securing AI will grow from roughly $2.8 billion in 2026 to almost $7.7 billion by 2028.
The launch lands as agent security turns from a feature into a line item. Once enterprises grant agents system permissions, auditing, blocking and identity checks become pre-deployment requirements rather than nice-to-haves. What to watch is the false-positive rate in real enterprise environments, compatibility with mainstream agent frameworks, and how much the channel actually signs.
Why it matters
The competitive question in agent security is not feature breadth but whether enforcement can stop overreach without slowing the business; a kernel-level approach with tolerable false positives becomes a precondition for granting agents real permissions.
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