Senior Software Engineer

Noonlight updates video monitoring solution. New AI filtering and advanced verification features aim to reduce false dispatches and improve response times for security providers. Noonlight has launched two new features for its Verify API designed to streamline video monitoring for commercial and residential security providers. The updates, AI Person Filtering and Advanced Verification, provide a human verification layer to video-triggered events. The system enables trained agents to review incidents before emergency services are dispatched, reducing non-actionable noise and operational burdens. The AI Person Filtering feature uses a proprietary model to automatically screen incoming video clips. The system dismisses clips where no person is detected, which the company says delivers 99% recall and 97% precision. This automation is intended to eliminate the time and cost associated with reviewing empty motion alerts. When an event is escalated to a live monitoring agent, the Advanced Verification tool provides deeper context. Agents can access up to 90 seconds of footage captured before the triggering event and view a live camera feed. "What we've built is a smarter way to deliver the right context to agents at exactly the right moment," said John Tassone, president of Noonlight. "They can filter out the noise, act decisively on real situations, and prevent emergencies from escalating." The Advanced Verification suite also includes active deterrence capabilities. Agents can initiate a talkdown through the camera to de-escalate situations or identify authorized individuals. Preliminary company data indicates that advanced verification with talkdown has reduced total false alarms by 45%. In internal trials, Noonlight reported that in 37% of cases, the subject left the scene independently after intervention, while in 8% of cases, agents identified the individual as an authorized employee. Based in Austin, Noonlight provides professional monitoring and emergency response integration via API. The company currently supports approximately 3.5 million users and handles video verification for residential and commercial security partners across the United States and Canada. Featured. * Strengthening Healthcare Security with Sentri-Zone With over half of physicians feeling unprotected at work, Sentri-Zone offers a proactive shield against the rising tide of healthcare violence. Read Now * Hospital * Facility Security * Physical Security * Executive Protection in a Noisy World: Why Speed and Defensibility Matter CSOs are not short on data; they are short on time and trust. This is particularly true when it comes to Executive Protection (EP) in a high-velocity threat environment, where an online post can escalate into a real-world incident within minutes. Read Now * FBI Warns of Potential Iranian Drone Threat to California Coast Federal intelligence suggests sea-based unmanned aerial vehicle strikes are being considered as retaliation for the ongoing Middle East conflict. Read Now * Homeland Security * Government * Incident Response * How Agentic AI Will Shape the Autonomous SOC at Scale at ISC West 2026 SOCs, a relatively new phenomenon in the field of security, have seen steady, incremental improvements since their inception in the 90s. Fast forward to today, and the architecture of threat detection and response has dramatically outpaced the teams responsible for its oversight. Read Now * March Patch Tuesday Minimal Risks Highlight Shadow AI Threats Security leaders urged to prioritize internal AI audits over low-impact vulnerabilities as Microsoft releases a quiet monthly update. Read Now * Cybersecurity * Artificial Intelligence * Data Security

Noonlight verify API enhances video security solutions. 12 Mar 2026 Quick Read Summary is AI-generated, newsdesk-reviewed * Noonlight unveils AI person filtering to minimise non-actionable noise in video monitoring. * Advanced Verification provides extended footage, enabling agents to prevent emergency escalation. * AI filters improve detection with 99% recall, reducing false alarms by 45%. Noonlight has announced significant updates to its Verify API, enhancing its video monitoring solutions with two new key features aimed at improving security for both commercial and residential providers. These enhancements aim to deliver enhanced protection by allowing more proactive management of video security systems. The Verify API provides a layer of human verification to video-triggered events, enabling Noonlight agents to assess incidents before deciding on emergency dispatch. This integration pairs advanced analytics with professional monitoring to minimise irrelevant video distractions and enable quicker responses to real threats, all without increasing false alarms or operational demands. Introduction of new AI features. The updates introduced by Noonlight include an AI Person Filtering feature, which screens video events by automatically discarding clips without any detected individuals. This innovation eradicates the need for evaluating empty motion alerts. Additionally, when an event warrants escalation to a live agent, the Advanced Verification feature offers comprehensive context with extended video footage and live camera access, allowing agents to address and deter potential incidents in real time even before an alarm is set off. This leads to fewer unnecessary disturbances for users, reduced unwarranted police dispatches, and effective alarm resolution when critical. Mitigating emergency situations. John Tassone, President of Noonlight, indicated, "The burden of responding to an emergency should never fall on the end user, and unnecessary disruptions should never affect the people our partners are trying to protect." He further stated, "What we've built is a smarter way to deliver the right context to agents at exactly the right moment - so they can filter out the noise, act decisively on real situations, and prevent emergencies from escalating wherever possible. That's what automatic safety looks like in practice." AI person filtering capabilities. Noonlight uses AI to filter video clips so only actionable footage reaches monitoring agentsNoonlight utilises a proprietary AI model that evaluates all incoming video clips, swiftly dismissing any where a person is not detected, thereby ensuring non-actionable footage never reaches monitoring agents. By processing hundreds of frames per video clip, the AI model boasts a 99% recall and a 97% precision rate, ensuring minimal human appearances are not overlooked. For existing partners using AI-based filtering, Noonlight's enhanced model provides further noise reduction, especially in outdoor settings, supporting both vendor consolidation and reducing necessary integrations to manage. Advanced verification and its benefits. The Advanced Verification tool augments Noonlight's current verification processes by giving agents additional context, such as footage up to 90 seconds before an incident along with a live view from the camera. This allows for faster threat assessment and decision-making without immediate emergency dispatch. Agents can also employ active deterrence through real-time communication directly via the camera, defusing situations before alarms necessitate immediate emergency response. This capability significantly enhances intervention speed, delivering a more efficient user experience without sacrificing security. Preliminary data suggests these advanced verification tools with talkdown capabilities reduce false alarms by 45%, with 37% resulting in individuals leaving the vicinity independently and 8% identified as authorised personnel, significantly preventing unnecessary alarms.