Combining the DFSL laser LADAR sensor with the Zorronet LYBA AI command and control platform, this integrated solution can detect, visually confirm, and classify events over short distances without emitting radio frequency radar signals.
Netanya, Israel, November 10th / PRNewswire / -- Tessera Defense and Homeland Security Inc. (New York Stock Exchange American Market: HLSQ) (hereinafter referred to as “Tessera” or “the Company”) announced today that it has commercially launched its integrated perimeter security solution. This solution combines the LADAR (laser detection and ranging) sensors of DFSL with the command and control platform of Zorronet, which is driven by its LYBA AI core. Both DFSL and Zorronet are independent subsidiaries of Tessera.
This modular solution integrates high-precision optical detection based on LADAR with commercially available day/night and thermal imaging PTZ cameras, supplemented by AI analysis. It is designed for detection distances of approximately 30 meters, 60 meters, and 100 meters, and is suitable for scenarios that require accurate short-range detection and classification, especially in areas where radio frequency radar is restricted, not suitable, or not preferred.
From detection to understanding
Traditional perimeter systems can only detect movements and issue alerts, after which operators must make their own judgments regarding each event. The Tessera solution is designed to automatically carry out the subsequent steps.
When the LADAR sensor of DFSL detects a target, it will transmit the target's location to LYBA, which can then automatically orient the compatible PTZ camera towards that target. Subsequently, LYBA uses computer vision and AI analysis to verify, classify, and study the event, providing operators with contextual information, rather than just a simple motion alarm.
Depending on the selected AI model and available images, the system can be configured to:
- Detecting individuals approaching or crossing restricted borders
- Distinguish between individuals, groups of people, or those walking with dogs.
- Mark possible visible weapons or suspicious items carried by individuals
- Classify vehicles, animals, and other objects.
- Analyze mobile patterns and mark any potentially abnormal behaviors.
- Track targets and trigger preset responses based on event classification and risk levels.
The goal is to transform raw detection data into actionable operational intelligence, thereby supporting faster and more informed security decisions.
Open and scalable AI architecture
Unlike a fixed set of detection rules, LYBA provides an existing AI model and a library of running scenarios, which can be expanded according to changes in customer needs. Institutions can select relevant scenarios, integrate compatible third-party and open-source models, and develop or fine-tune models for specific applications.
For example, customers can not only configure the system to detect people entering restricted areas, but also determine whether such individuals are accompanied by animals, whether they are carrying suspicious items, or whether they exhibit predetermined behaviors of interest. New or adjusted models will be deployed only after they have been verified through a controlled integration process.
This solution supports secure local deployment as well as isolated (air-gapped) deployment, therefore the approved (AI) capabilities can operate without the need for a continuous internet connection. Software and model updates are delivered through a controlled maintenance process, allowing the system to evolve continuously without the need to replace the underlying sensing and imaging hardware. The company states that this approach is designed to meet the network security and operational requirements of sensitive facilities, while also providing long-term technical flexibility.
Short-range detection without the need for radio frequency radar transmission
Unlike radars that emit radio frequency energy, the LADAR of DFSL uses laser-based optical perception to detect and locate targets, therefore the detection process itself does not require the emission of radio frequency radar. The company states that this may be an important advantage for facilities where radar emissions are restricted, there are radio frequency-sensitive devices, or where operators wish to minimize additional radio frequency emissions as much as possible. The related communication equipment can be configured for wired connections to meet applicable on-site limitations.
Target applications include:
- National defense and military facilities
- Critical infrastructure and energy facilities
- Industrial and Logistics Parks
- Sensitive storage area
- Transport infrastructure
- High-security locations that require local perimeter protection
Modular, camera-independent design
The solution is built around a camera-agnostic architecture and supports compatible commercially available PTZ cameras, including both day and night models as well as thermal imaging models, rather than requiring proprietary imaging hardware from a single manufacturer.
DFSL's LADAR provides accurate positioning and detection data, while the camera offers visual observation and tracking. LYBA then fuses both into a single operational image. The configuration can be customized according to coverage requirements, environmental conditions, and applications. New analytical and AI capabilities can also be added over time without the need to redesign the detection infrastructure.
Tessera Part of the Comprehensive Security Strategy
"The challenges in modern security are no longer just about detecting movement, but about understanding what is happening, its importance, and how to respond to it," said Michael Oster, CEO of Tessera. "By combining the high-precision LADAR of DFSL with the AI capabilities of Zorronet, we are integrating complementary technologies into a new generation of intelligent security solutions. The uniqueness of this approach lies in its flexibility: customers can choose scenarios, add models, and adjust the system as needs evolve, including in isolated and highly sensitive environments. This is precisely the practice of Tessera's strategy: transforming advanced technology into practical, scalable solutions suitable for real-world security challenges."
Regarding Tessera Defense, and, and Homeland Security Inc (formerly known as BiomX Inc).
Tessera Defense and Homeland Security Inc. (New York Stock Exchange American Market: HLSQ) is a physical security technology company that provides integrated and customized security solutions for complex security environments, connecting detection, intelligence, and response. The Tessera platform integrates cameras, sensors, detection technologies, AI, and other security infrastructure to identify threats, understand events, and coordinate responses in real time. Tessera offers technical expertise, hardware, and implementation capabilities to customize security solutions according to the specific requirements of each location, helping customers deploy and optimize integrated security systems in critical infrastructure, energy, digital infrastructure, and homeland security applications. For more information, please visit https :// tesserainc.ai.
Forward-looking Statements
This press release contains “forward-looking statements” as defined by the Private Securities Litigation Reform Act of 1995 and Section 21E of the Securities Exchange Act of 1934, as amended, known as the “Safe Harbor” provision. Forward-looking statements can be identified by words such as “expects,” “intends,” “plans,” “believes,” “will,” “may,” “anticipates,” “estimates,” and similar expressions. These statements are based on the company’s current expectations and are subject to a number of risks and uncertainties, many of which are beyond the company’s control, and may result in significant differences between actual results and those expressed or implied.
These risks and uncertainties include, but are not limited to: whether the integrated perimeter security solution based on LADAR will operate as expected, including its detection, visual verification, classification, and automatic response capabilities; whether it will be able to integrate with compatible cameras and AI models, and meet the customer's technical, security, regulatory, and operational requirements, including those in isolated environments; the market acceptance of the integration solution; whether commercial release will generate orders, deployments, or revenue, and the timing and amount of such revenue; the company's ability to raise additional capital and implement its business and strategic initiatives; the risk that the company may not be able to restore compliance with the listing standards of the New York Stock Exchange's American Stock Market during the planned period or at all; the risk that the company's progress may not be as planned; the possibility that the company's common stock trading may be suspended or delisted from the New York Stock Exchange's American Stock Market; the company's continued operating eligibility; and other risks described in the documents submitted by the company to the U.S. Securities and Exchange Commission, including those under the "Risk Factors" heading in the annual report for the fiscal year 2025 ending December 31, 2025, which is the Form 10-K report (submitted to SEC on February 19, 2026, and supplemented by the Form 10-K/A submitted on April 30, 2026, the current report Form 8-K submitted on May 5, 2026, and the quarterly report Form 10-Q for the period ending June 30, 2026, submitted on August 19, 2026), as well as other documents submitted by the company to SEC.
Except as required by law, the company assumes no obligation to update or revise any forward-looking statements due to new information, future events, or other reasons.
Investor Relations Contact Person
Yair Ohayon
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