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ZeroEyes Expands AI Security Platform with Knife Detection and Suspect Tracking Features

ZeroEyes expands its AI security platform to include knife detection and suspect tracking, enhancing threat response capabilities for enterprises and MSPs.

ZeroEyes, a Philadelphia-based company known for its AI-driven gun detection technology, is broadening its product offerings to include a more comprehensive physical security platform. The company has announced the addition of knife detection, suspect tracking, and an expanded analytics suite, marking a significant shift toward full-spectrum threat detection and response capabilities for enterprises, public sector organizations, and channel partners.

This strategic move aims to capitalize on ZeroEyes’ established computer vision technology, which is already operational in thousands of buildings across the United States. “ZeroEyes continues to push the boundaries of what AI-powered security can deliver,” stated CEO and co-founder Mike Lahiff. “We felt that the time was right to leverage the unmatched experience and success that we’ve built in AI gun detection to give our customers a comprehensive security solution that they can trust from preparation to detection to response.”

For managed service providers (MSPs) and integrators, this expansion presents an opportunity to position ZeroEyes as a layered security solution rather than a single-use tool, particularly in sectors like education, healthcare, and critical infrastructure. The company is organizing its enhanced platform into three core categories: Secure, Detect, and Respond.

The Secure category incorporates site surveys, mapping, and various infrastructure tools, including the ZeroLink solution. The Detect category focuses on the AI-powered identification of threats, including firearms, knives, intruders, crowds, and abandoned objects. Finally, the Respond category encompasses capabilities such as suspect tracking, drone-based AI, and the operation of an analytics-driven operations center, with further investigative analytics planned.

This structured approach aligns well with how many MSPs package managed security services, effectively bundling assessment, monitoring, and incident response into recurring offerings. ZeroEyes’ new knife detection feature is designed to identify blades of six inches or longer, responding to a growing demand for more comprehensive weapon detection beyond firearms.

The suspect tracking capability allows security personnel to monitor individuals across multiple camera feeds using non-biometric visual markers, facilitating the establishment of movement timelines and enhancing response coordination. Additionally, the new analytics suite adds detection capabilities for various intrusions involving people, vehicles, drones, and boats, as well as monitoring crowd formations, abandoned objects, and camera obstructions. Real-time camera health monitoring is also included, enabling proactive system management—a significant value-add for MSPs.

Since its founding in 2018, ZeroEyes has built a strong reputation through its AI-powered gun detection solutions, earning the Department of Homeland Security’s (DHS) SAFETY Act designation. With this latest enhancement, the company is transitioning into the role of a broader security platform vendor, which could lead to larger deal sizes, deeper integrations with existing video surveillance infrastructure, and increased managed service opportunities related to monitoring, compliance, and incident response.

ZeroEyes highlighted its robust channel sales motion earlier this year, proclaiming it had doubled its ecosystem throughout 2025. The company collaborates with various security-focused partners and integrators. As the realms of physical security and AI-driven analytics increasingly converge, vendors like ZeroEyes are aligning their platforms with the operational models that MSPs already employ. This trend may accelerate the adoption of comprehensive security solutions across both public and private-sector environments.

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Rachel Torres
Written By

At AIPressa, my work focuses on exploring the paradox of AI in cybersecurity: it's both our best defense and our greatest threat. I've closely followed how AI systems detect vulnerabilities in milliseconds while attackers simultaneously use them to create increasingly sophisticated malware. My approach: explaining technical complexities in an accessible way without losing the urgency of the topic. When I'm not researching the latest AI-driven threats, I'm probably testing security tools or reading about the next attack vector keeping CISOs awake at night.

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