Pulsar: AI Revolution In Physical Security By Ambient.ai

Ambient.ai has officially launched Ambient Pulsar, its latest and most sophisticated AI engine designed for physical security.

Leveraging the company's advanced Vision-Language Model (VLM) architecture, Pulsar is set to revolutionize the security landscape by shifting the focus from reactive responses to proactive incident prevention.

Innovative Application in Physical Security

Pulsar is engineered to emulate the reasoning capabilities of human security personnel, but with the added advantage of accelerated machine speed and scale. The AI has been trained using over one million hours of enterprise video, rendering it the most advanced vision-language model applied in physical security to date, with a daily processing capacity surpassing 500,000 hours.

The cutting-edge reasoning prowess of Pulsar is said to outmatch that of models like OpenAI's GPT-5 and Google’s Gemini 2.5 Pro, achieving efficiency levels up to 50 times greater in physical security contexts. This scalability extends across thousands of cameras operating continuously, providing a truly agentic AI solution suitable for large enterprises.

Setting New Standards for Security Operations

The platform is designed to mitigate manual triage and expedite response times, fundamentally altering the operation of GSOCs

Cary Monbarren, Senior Director of Corporate Security at SentinelOne, noted, "With Pulsar, Ambient.ai has built what every enterprise security pioneer has been waiting for: an AI that's not just fast, but intelligent." The platform is designed to mitigate manual triage and expedite response times, fundamentally altering the operation of GSOCs.

Ambient.ai's new release also introduces various platform enhancements, such as the Agentic Video Wall, Activity Notifications, and Semantic Search, marking a significant step forward in intelligent and autonomous security operations. Shikhar Shrestha, CEO and co-founder of Ambient.ai, remarked, "This release turns every camera, every sensor, and every SOC into an intelligent agent capable of reasoning, prioritizing, and responding in real time."

The Core Technology: Pulsar

Pulsar stands as the next-generation Vision Language Model, distinct in its ability to operate continuously at the edge. By merging visual perception with semantic understanding and autonomous reasoning, Pulsar provides unparalleled performance in real-world situations.

Among its technological breakthroughs are:

Always-On Edge Reasoning, which performs data inference at the source, minimizing cloud reliance.
Open-Set Detection, capable of recognizing an endless range of behaviors and threats, including new or untrained patterns.
Contextual Intent Recognition that distinguishes between harmless and risky activities.
Scalable Agentic Autonomy, distributing reasoning to support multi-site environments with real-time awareness.
Edge-Optimized Architecture, running on the latest NVIDIA AI infrastructure for simultaneous video stream interpretation.

Pulsar's Impact on Security Capabilities

With the introduction of Pulsar, Ambient.ai is pioneering a path towards Agentic Physical Security. The recent launch includes several new capabilities:

Agentic Video Walls transform static security feeds into dynamic, activity-focused systems.
Activity Notifications allow operators to customize alerts using natural language, providing real-time, context-aware updates.
Semantic Search facilitates quick retrieval of information from video archives by simple questioning.

Additionally, an upcoming feature, Agentic Investigations, will enable security teams to construct comprehensive incident timelines through intuitive questioning. Another impending innovation, Custom Threat Assessment, allows threat evaluations to adjust dynamically based on real-time criteria.

A Vision for the Future of Security

The release of Pulsar solidifies Ambient.ai's commitment to Agentic Physical Security, where technology enhances human efforts to avert incidents. The platform now offers a unified system that oversees monitoring, threat evaluation, access intelligence, and more, promising significant reductions in false alarms and swift alert resolutions.

Many of Ambient.ai's enterprise clients, including those in technology, finance, and other critical sectors, report substantial improvements, with false alarms reduced by up to 95% and most alerts resolved in under a minute, leading to significant cost savings.

To explore these advancements, Ambient.ai will hold an online keynote at 10:00 a.m. PST, showcasing Pulsar's capabilities through live demonstrations.

Show full press release

Ambient.ai, the pioneer in Agentic Physical Security, announced the general availability of Ambient Pulsar, its most advanced AI engine yet.

Built on Ambient's edge-optimized reasoning Vision-Language Model (VLM) architecture, Pulsar represents a quantum leap forward that transforms physical security from reactive response to proactive incident prevention.

Physical security use cases

Pulsar is engineered to reason like a human security operator, only at accelerated machine speed and scale. Trained from more than one million hours of ethically sourced enterprise video, Pulsar is the largest and most capable purpose-built vision-language model ever deployed in physical security, processing over 500,000 hours each day.

It delivers frontier-model reasoning performance that exceeds OpenAI GPT-5 and Google Gemini 2.5 Pro in physical security use cases, at up to 50× higher efficiency, bringing true agentic AI to enterprise scale across thousands of cameras running 24/7.

New benchmark for intelligent, autonomous security operations

"With Pulsar, Ambient.ai has built what every enterprise security pioneer has been waiting for: an AI that's not just fast, but intelligent," said Cary Monbarren, Senior Director, Corporate Security at SentinelOne. "This platform is transforming how GSOCs operate, drastically reducing manual triage and response times."

With this launch, Ambient.ai also introduces a suite of platform innovations, including the Agentic Video Wall, Activity Notifications, and Semantic Search, setting a new benchmark for intelligent, autonomous security operations.

"Pulsar marks the beginning of a new era for physical security—one where AI doesn't just detect, but truly understands and acts," said Shikhar Shrestha, CEO and co-founder of Ambient.ai. "This release turns every camera, every sensor, and every SOC into an intelligent agent capable of reasoning, prioritizing, and responding in real time."

The new core of Ambient intelligence: Pulsar

Pulsar is Ambient.ai's next-generation Vision Language Model (VLM)—a fully agentic, open-set model that's been purpose-built for physical security.

Unlike legacy deep-learning detectors or CLIP-based analytics, Pulsar operates continuously at the edge, combining visual perception, semantic understanding, and autonomous reasoning for unmatched real-world performance.

Key breakthroughs include:

Always-On Edge Reasoning: By running perception at the edge, inference happens where the data originates, reducing cloud cost, latency, and bandwidth constraints.
Open-Set Detection: Pulsar recognizes an infinite variety of behaviors and threats, even those never explicitly trained, from unauthorized access and tailgating to emerging anomaly patterns.
Contextual Intent Recognition: By fusing language and vision, Pulsar understands why something matters—distinguishing benign activity from genuine risk.
Scalable Agentic Autonomy: With reasoning distributed across edge appliances, Pulsar powers multi-site environments for true real-time awareness at enterprise scale.
Edge-Optimized Architecture: Pulsar's perception runs on Ambient.ai's edge appliance, an on-premises compact compute node powered by the latest NVIDIA AI infrastructure, enabling parallel inference across dozens of live video streams.

Pulsar in action: The capabilities defining agentic physical security

Powered by Pulsar, Ambient.ai is introducing a suite of breakthrough capabilities that chart the industry's path toward Agentic Physical Security.

Launching now:

Agentic Video Walls: They create a living, adaptive security operations center, turning static feeds into a dynamic system that highlights the streams with the most interesting activity, delivering focused situational awareness.
Activity Notifications: Operators define custom events or scenes using open-set, natural-language input, enabling the system to proactively deliver context-aware notifications of everyday events in real time.
Semantic Search: Operators can query their video archive just by asking questions, transforming hours of footage review into instantaneous insight.

Early preview:

Agentic Investigations: Transforms how security teams uncover the truth. Operators can ask an outcome-oriented question—"Tell me what led to the fire?"—and Ambient.ai instantly assembles a complete incident timeline using all its tools at its disposal, including Semantic Search, Similarity Search, License Plate Recognition, and more.
Custom Threat Assessment: Enables adaptive threat assessment through natural-language input. Security teams can dynamically calibrate alert severity to scene specific criteria.

A platform built for the agentic era

The Pulsar release reinforces Ambient.ai's vision of Agentic Physical Security—a new approach where intelligent systems augment human operators to prevent incidents, not just record them. The Ambient.ai platform now unifies monitoring, threat assessment, access intelligence, investigations, and response under a single AI brain.

Ambient.ai's enterprise customers, including Fortune 100 pioneers in technology, finance, manufacturing, aerospace, pharma and critical infrastructure, are already realizing measurable impact with as much as 95% false-alarm reduction, 80% of alerts resolved in under one minute, and millions saved annually in operational efficiency.

With Pulsar as the core of the Ambient Intelligence engine, Ambient.ai is redefining what's possible in enterprise protection, creating a security system that not only understands what it sees, flagging precursors to risks to enable true prevention, but also orchestrates response and investigation autonomously to minimize potential impact.