Ambient AI

Detects threats, verifies visually to enhance security.

security data analysis image

Tool Information

Primary Task	Security
Category	security-and-privacy
Sub Categories	cybersecurity data-analysis computer-vision
Country	United States

Ambient.ai is an AI-powered tool that transforms physical security by utilizing computer vision intelligence. It empowers security teams with automated threat detection and visual verification. The tool aims to move security operations from reactive to proactive, offering features such as 24/7 proactive threat monitoring, PACS alarm reduction, and AI-powered investigations.With computer vision technology, Ambient.ai automates repeatable security tasks, resulting in improved human productivity. The tool applies cutting-edge computer vision research to the needs of physical security organizations, leveraging behavior, locations, and location context to identify emerging security incidents. It does not utilize facial recognition technology but focuses on respecting individual privacy while increasing group security.Ambient.ai's threat signatures continuously adapt to an always-changing risk landscape, allowing the tool to respond in real-time to various security concerns. The product overview emphasizes reducing false alarms with patent-pending video context analysis and orchestrating real-time dispatch for real incidents. It also provides graph-powered forensics to speed up post-incident investigations and mobile dispatch capabilities to empower security personnel with contextual video intelligence.The tool is designed to improve security outcomes for various industries, including Global 2000 companies, museums, data centers, schools, and warehouses. It aims to overcome the limitations of human capacity in monitoring video feeds by providing near-human visual perception. By utilizing Ambient.ai, security teams can enhance their efficiency, reduce false alarms, speed up investigations, and respond more effectively.

Ambient.ai is a technology company based in San Jose, California, founded in 2017 by CEO Shikhar Shrestha and CTO Vikesh Khanna. The company specializes in artificial intelligence (AI) solutions aimed at enhancing physical security. Their primary offering is a unified AI-powered physical security platform that helps security teams detect and prevent threats using advanced AI models, including computer vision and natural language processing.

The platform minimizes false alerts and supports autonomous security operations, allowing teams to focus on critical incidents. Ambient.ai has also developed "Ambient Intelligence," which improves contextual understanding for more accurate threat detection. Additionally, the company operates a visual intelligence platform that assists developers in analyzing video content for various applications. Ambient.ai's solutions cater to organizations looking to enhance their security capabilities across multiple sectors.

Pros
Automated threat detection Visual threat verification 24/7 Proactive threat monitoring Reduces PACS alarms Improves human productivity Context-based threat identification No facial recognition used Respects individual privacy Threat signatures adapt in real-time Reduces false alarms Enables real-time incident dispatch Provides graph-powered forensics Mobile dispatch capabilities Contextual video intelligence Serves various industries Overcomes human monitoring limitations Increased efficiency for security teams Speeds up investigations Adapts to always-changing risk landscape Real-time response to security concerns Prevents employee tailgating Detects physical perimeter breaches Identifies medical issues Handles weapon detection Designed for near-human visual perception Reduced security response times Helps avoid alert fatigue Signal intelligence Multiple locations monitoring Increases threat detection capabilities Detects anomalous behaviors Reduces false alarm rates Increases speed of forensic investigation Integrated video intelligence Designed for human-machine collaboration Automated continuous video monitoring Instant threat response capability Accurate incident context provision Improved security outcomes High impact alarm reduction Medium impact perimeter breach detection High impact weapon detection Trusted by Fortune 500 companies Real-time alarm control and dispatch Aids in efficient object search Enhanced visual attribute analysis Transforms security operations Improves overall security Proactive risk alerts Decreased monitoring overload Expansive threat signature library Helps avert life threatening situations

Cons
No facial recognition Limited change detection Possible false positives Dependent on quality of video feeds No mentioned data export features Possible privacy concerns Effectiveness dependent on continuous monitoring System errors may cause misses Cannot identify individual threats Limited to visual threat detection

Management Team

Shikhar Shrestha

CEO and Co-Founder

Ikesh Khanna

CTO and Co-founder

Frequently Asked Questions

1. What is Ambient.ai?

Ambient.ai is an advanced AI-powered tool aimed at transforming physical security. It uses cutting-edge computer vision intelligence to automate threat detection and visual verification. Ambient.ai significantly improves the efficiency of security operations by transitioning them from reactive to proactive. Its key features include 24/7 proactive threat monitoring, PACS alarm reduction, and AI-powered investigations.

2. How does Ambient.ai detect potential threats?

Ambient.ai detects threats through its advanced computer vision technology. It does not use facial recognition; instead, it focuses on changes in behavior, location context, and various threat signatures. Its expansive library of threat signatures, combined with behavior and location analysis, enables Ambient.ai to identify emerging security incidents.

3. Does Ambient.ai reduce false alarms?

Yes, one of the key features of Ambient.ai is its capacity to reduce false alarms. It uses a patent-pending full scene video context analysis to filter out around 99% of irrelevant alarms, thereby decreasing false alarms and enabling the real-time dispatch for actual incidents.

4. Can Ambient.ai aid in post-incident investigations?

Yes, Ambient.ai significantly aids in post-incident investigations through its graph-powered forensics feature. This technology enables users to use the visual attributes of any object involved in an incident to efficiently search across various locations and times. This functionality significantly speeds up the investigation process by allowing rapid review of video footage from before and after the incident.

5. What industries is Ambient.ai designed to aid?

Ambient.ai is designed to aid various sectors, including but not limited to Global 2000 companies, museums, data centers, schools, and warehouses. It helps these industries overcome human limitations in monitoring video feeds, thus enhancing security outcomes.

6. Does Ambient.ai utilize facial recognition technology?

No, Ambient.ai does not utilize facial recognition technology. In a clear stance towards protecting individual privacy, Ambient.ai has declared that it does not and will not embrace facial recognition.

7. What is Ambient.ai's stance on privacy?

Ambient.ai prioritizes privacy as much as security. It stands against the dichotomy of privacy vs. security. Rather than using facial recognition, which could hamper individual privacy, Ambient.ai uses changes in behavior, location, and location context to detect threats, ensuring both group security and individual privacy.

8. Can Ambient.ai adapt its threat detection in real-time?

Yes, Ambient.ai can adapt its threat detection in real-time to a constantly changing risk landscape. Its threat signatures are continuously updated, enabling it to respond instantly to various security concerns.

9. How does Ambient.ai's threat detection compare to human-operated systems?

Ambient.ai's threat detection capabilities significantly surpass human-operated systems. Human operators may overlook up to 45% of screen activity after just 12 minutes of continuous monitoring, and this increases to 95% after 22 minutes. To prevent such lapses, Ambient.ai uses AI to automate security monitoring and maintains a consistent level of accuracy regardless of the duration.

10. Does Ambient.ai provide real-time dispatch for real incidents?

Yes, Ambient.ai provides real-time dispatch for real incidents. By filtering out the 'noisy 99%' of irrelevant alarms using its patent pending video context analysis, it enables the orchestration of real-time responses to genuine security incidents.

11. How can Ambient.ai's computer vision technology improve security operations?

Ambient.ai's computer vision technology transforms security operations by automating threat detection and visual verification. It allows the transition from reactive security operations to proactive ones. Its two primary impacts are reducing false alarms and speeding up the post-incident investigative process.

12. How does Ambient.ai enhance human productivity in security tasks?

By automating repeatable tasks with computer vision technology, Ambient.ai enhances human productivity in security tasks. This automation frees up human operators from manually processing extensive video footage, thereby enabling them to focus on more crucial tasks.

13. Can Ambient.ai detect specific threats like perimeter breaches or weapon detection?

Yes, Ambient.ai has threat signatures for specific incidents such as perimeter breaches and weapons detection. Its advanced AI system can detect risk by looking for unexpected changes in human behavior, correlated with the specific location and context.

14. How does Ambient.ai utilize computer vision research to meet security needs?

Ambient.ai uses leading-edge computer vision research to fulfill the needs of physical security organizations. This research helps automate repeatable tasks, resulting in substantial gains in human productivity and a greater focus on critical tasks.

15. Is Ambient.ai effective for monitoring large scale operations like Global 2000 companies?

Yes, Ambient.ai is significantly effective for monitoring large scale operations such as Global 2000 companies. It has been driving improved security outcomes for such businesses over the past two years, revealing its competency in big-scale operations.

16. How does Ambient.ai utilize behavioral analysis in threat detection?

Ambient.ai utilizes behavioral analysis for threat detection by focusing on unexpected changes in human behavior, combined with locations and location context. These factors help identify emerging security incidents and adapt in real-time to an ever-changing risk landscape.

17. How is Ambient.ai able to increase speed of forensics post-incident?

Through its Graph-Powered Forensics feature, Ambient.ai can increase the speed of forensics post-incident. Users can use the visual traits of any object in an incident to efficiently search across the video feed from various locations and times. This speeds up the process of reviewing what happened before and after the incident.

18. Can Ambient.ai integrate video intelligence into dispatches for security personnel?

Yes, Ambient.ai integrates video intelligence into its dispatches for security personnel. This empowers responders with contextual knowledge of the scene they're walking into by providing a video preview. It enables faster and more informed responses.

19. Can Ambient.ai identify an object across different locations and times?

Yes, Ambient.ai can identify an object across different locations and times by utilizing the visual attributes of the object. This facility enables users to search effectively across the video footage to review moments where that object was present.

20. What kind of impact has Ambient.ai had on reducing false alarms in trial run scenarios?

Ambient.ai has significantly reduced false alarms in trial run scenarios. For instance, during its rollout with Fortune 500 companies, Ambient.ai was able to decrease false alarms by an impressive 97% while simultaneously enhancing threat detection capabilities.