Ambient AI

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Ambient.ai is transforming physical security with computer vision intelligence, empowering security teams with automated threat detection and visual verification.

How Ambient AI can help you:

Automates repeatable tasks to improve human productivity.
Provides near-human visual perception for proactive security operations.
Integrates video intelligence into dispatches for informed responder action.
Filters out the noisy 99%, focusing on real incidents with patented full scene video context control.
Enables efficient search across locations and times using the visual attributes of any object.

Why choose Ambient AI: Key features

Expansive library of threat signatures adapting in real-time to an ever-changing risk landscape.
Designed for seamless human-machine collaboration in critical incident response.
Reduces alert fatigue and increases operational efficiency.
Promotes privacy without sacrificing security by avoiding facial recognition technologies.

Who should choose Ambient AI:

Global 2000 companies
World-class museums
Data centers
Schools
Warehouses
Any physical location needing advanced security threat detection and proactive operations.

About Ambient AI

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https://ambient.ai

Release Date

March 2024

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Coram AI Raises USD 13.8 Million to Bring AI to Video Security

Advanced AI enables natural language searches and long-term activity analysis. Large Language Model (LLM)-powered video security provider Coram AI announced that it has raised USD 13.8 million in Series A funding in a round led by Battery Ventures, a global, technology-focused investment firm. Existing investors 8VC and Mosaic Ventures also participated in the round, Coram AI said in a statement on January 16, 2025. Also Read: Mesmerise and Mayo Clinic Launch NeuRealities to Transform Medical Education with AI Coram plans to use the funds to expand its product lines and grow its go-to-market and engineering teams. The company says its platform minimises infrastructure overhead for customers by integrating with any IP camera in existing installations. "The technology uses advanced vision and language models for real-time video analysis from security cameras, enabling searches described in natural language and advanced applications such as virtual security guards capable of interpreting complex activities over long timespans," the official release said. According to the company, the platform addresses the needs of customers across education, logistics, and manufacturing by automatically analysing camera footage in real-time to detect threats, identify safety issues, and provide operational insights that reduce waste. "With the new generation of AI, human-level understanding of video is finally possible. We envision cameras evolving far beyond being mere video recorders -- they will become a constant pair of eyes that keeps the public safe and secure in a privacy-sensitive manner," said Jain, Coram's CEO. For instance, Coram serves its customers in K-12 education by transmitting an immediate alert if a potential threat, such as someone brandishing a gun, is detected on the premises. Similarly, a user at a manufacturing plant can quickly sift through thousands of hours of footage to isolate recorded slip-and-fall incidents, helping to train managers to prevent such accidents in the future, the company explained. The software can also detect license plates, recognise faces, and issue alerts if a known offender is identified on-site. There are over 80 million security cameras in the US, yet most video recordings remain unseen on hard drives, leaving valuable insights untapped, the company said. Also Read: Bynder Unveils New and Expanded AI Capabilities at NRF for Retailers Coram's customers include Middletown Unified School District in California and PCC Community Markets in Washington. "AI holds the key to unlocking value in the exabytes of unwatched video footage generated every day by security cameras, but delivering this value intuitively and cost-effectively to customers is a very hard challenge," said Marcus Ryu, Partner at Battery Ventures. As part of the financing, Battery Partner Marcus Ryu, the former co-founder and CEO of Guidewire Software, joins Coram's board. Coram -- founded by Ashesh Jain and Peter Ondruska, both former executives in Lyft's autonomous driving division -- offers an AI-native security platform that the company claims helps customers ranging from schools to manufacturers better monitor their sites to improve safety and efficiency.

TelecomTalk

Sat, 18 Jan, 10:01 AM UTC

AI in access control: Enhancing security with intelligent analytics

Image: Supplied Artificial intelligence has now graduated from an academic ponderance to an inescapable juggernaut. Its potential for a business, regardless of industry, is enormous. We can see it make its mark in retail, banking, and healthcare. It also has a role to play in security, both digital and physical. It can enhance analytics capabilities, improve threat detection, and support predictive maintenance. One study from McKinsey suggests AI could pump some $150bn, or 9 per cent of combined GDP, into GCC economies. HID's State of Physical Access Trend Report reveals more than a third (35 per cent) of organisations worldwide will be testing or implementing some sort of AI capability in the next five years. In the course of our research, we heard from more than 1,200 enterprise decision-makers around the world and identified the use of AI as one of five main trends currently dominating the physical security segment. The prevailing perception about AI is that it is here to stay and there is no going back, so enterprises must adopt it to remain relevant. But none of that means AI has reached some sort of ceiling of maturity - certainly not in the GCC where AI skills gaps persist. What it does mean is that, as skills gaps are gradually filled, more use cases become viable. That is why we are seeing a movement toward AI in physical access control. Thirty-eight per cent of respondents said they were looking to incorporate AI into their access-control solutions, although the same percentage admitted they were unsure of the benefits. But it is also worth noting that less than a quarter (23 per cent) said they had no plans to incorporate AI. We found that many security professionals see AI's strengths in analytics as low-hanging fruit, so rather than opting for an AI-centric security system, they are looking for ways to have AI-driven analytics enhance existing or future solutions. So, as mentioned previously, 35 per cent of respondents said they would test or implement some form of AI in the next five years. Some 15 per cent already use AI-enabled biometrics. AI: A powerful partner AI is a powerful partner in digitalisation, from automation of the day-to-day grind of a knowledge worker to the enhancement of future-gazing for finance professionals. And engineers. In the physical world, things break. However, the costs of repair are largely predicated on the ability to catch the problem early. If we keep enhancing that capability enough, we can replace minor components before equipment failure and save significant expenditure on replacements. This advanced condition monitoring made possible by AI and machine learning gives rise to predictive maintenance. Remember that a point of failure in, say, a manufacturing capability is bad enough, but if we imagine the same in a physical access ecosystem, the consequences could be well beyond those of lost capacity or missed deadlines. The same AI that monitors temperature, power, and rotation speeds looking for deviations from norms in physical equipment can do the same in a digital setting. Pattern matching is orders of magnitude more efficient with AI than with human observers. AI-driven physical security will come to dominate in a world where, with due diligence, AI can make everything better

Gulf Business

Fri, 10 Jan, 12:21 AM UTC

Google Cloud unveils new AI Protection security tools, no matter which model you use

Offering identifies, assesses, and protects AI assets for vulnerabilities Google Cloud has launched AI Protection, a suite of security features designed to mitigate risks across AI workloads and data, regardless of the platform used. The new offering will give businesses a centralized view of their AI standing, allowing them to manage the risks and spot threats before they become a concern. "As AI use increases, security remains a top concern, and we often hear that organizations are worried about risks that can come with rapid adoption," noted Archana Ramamoorthy, Senior Director, Product Management, Google Cloud Security. "Google Cloud is committed to helping our customers confidently build and deploy AI in a secure, compliant, and private manner." AI Protection will be built into Security Command Center (SCC), providing a centralized AI security management system alongside other cloud risks. Among the core capabilities of the new platform are AI Inventory Discovery (identifies and assesses AI assets for vulnerabilities), AI Asset Security (implements controls, policies, and guardrails to secure AI resources), and Threat Management (offers detection, investigation, and response mechanisms for AI-related threats). Furthermore, Google Cloud explained that its Sensitive Data Protection (SDP) Enhancements now extend to Vertex AI datasets, enabling automatic discovery and classification of sensitive training and tuning data. After discovering sensitive data, AI Protection will use SCC's virtual red teaming to identify potential attack paths on AI systems and suggest remediation steps. Google Cloud also said Model Armor, a core capability of AI Protection, is now generally available. It is designed to protect against prompt injection and jailbreak attacks, data loss and malicious URLs, and offensive content. It can be integrated into applications via REST API, Apigee, and soon Vertex AI. Finally, AI Protection will operationalize security intelligence and research from both Google and Mandiant to help defend AI systems. Initial access attempts, privilege escalation, and persistence attempts for AI workloads can all be detected via SCC, while new detectors to AI Protection, based on the latest frontline intelligence, are "coming soon". These will help identify and manage runtime threats such as foundational model hijacking.

TechRadar

Thu, 6 Mar, 6:35 PM UTC

The hidden AI threat inside every company network

Why it matters: Cybersecurity vendors are making shadow AI a priority this year, rolling out new tools to tackle a problem that's surprisingly straightforward to mitigate. Driving the news: The rise of China-based DeepSeek has sparked fresh concerns over data privacy and security at U.S. companies, with security executives warning that employees could download the app and feed corporate data into its open-source model. The big picture: Employees using unauthorized AI tools at work isn't new, but now the phenomenon has a name -- shadow AI. By the numbers: Companies typically have 67 generative AI tools running across their systems, but 90% lack proper licensing or approval, according to cybersecurity firm Prompt Security. Between the lines: Businesses worry that employees could input sensitive data into AI tools, which could then be absorbed into training datasets. Yes, but: Banning AI tools outright hasn't worked, forcing security teams to focus on governing AI use instead. What they're saying: "We preached for more than 12 months to CISOs," Prompt Security CEO Itamar Golan told Axios. "You think your employees are using mostly ChatGPT, Gemini, or Microsoft Copilot. But we detect thousands of tools, including many from countries with no guarantees around legal and data privacy." The intrigue: The fight against shadow AI mirrors past efforts to control shadow IT and unauthorized cloud applications, Shannon Murphy, senior manager of global security and risk strategy at Trend Micro, told Axios. Zoom in: Cisco is making a big bet on AI security. This month, it launched a suite of AI-driven security tools aimed at tackling shadow AI -- signaling a broader 2025 trend in enterprise security. What we're watching: The rise of AI agents and the continued adoption of China-linked AI models are likely to make shadow AI an even bigger headache for IT teams this year. Go deeper: DeepSeek's models are easier to manipulate than U.S. counterparts, research finds

Axios

Tue, 4 Feb, 8:07 PM UTC

Artificial Intelligence (AI) Camera Market to Generate US$ 35.5 Billion in Sales by 2034 as Smart Surveillance and Analytics Gain Popularity | Latest Report by Transparency Market Research, Inc.

Enter your email to get Benzinga's ultimate morning update: The PreMarket Activity Newsletter Wilmington, Delaware, Transparency Market Research Inc. -, Feb. 17, 2025 (GLOBE NEWSWIRE) -- The global Artificial Intelligence (AI) Camera Market (pasaran kamera AI), valued at US$ 7.8 billion in 2023, is poised for significant growth. With a projected CAGR of 14.1% from 2024 to 2034, the market is expected to reach US$ 35.5 billion by the end of 2034. This surge is driven by the increasing demand for smart security systems, enhanced imaging technologies, and AI-powered innovations in various industries.The integration of AI-powered cameras in smart cities, autonomous vehicles, and industrial automation is expected to be a major growth driver during the forecast period. Explore Industry Growth Opportunities - Get Your Sample Report Now! https://www.transparencymarketresearch.com/sample/sample.php?flag=S&rep_id=86009 This report provides an in-depth analysis of the AI camera market, focusing on market size, key trends, competitive landscape, growth opportunities, challenges, regulatory landscape, and future projections. Market Overview: The Artificial Intelligence (AI) Camera Market is experiencing rapid growth due to advancements in deep learning, computer vision, and edge AI processing. AI-powered cameras are increasingly being used across various industries, including security and surveillance, automotive, retail, healthcare, and smart homes. These cameras leverage AI algorithms to enhance image recognition, facial recognition, object detection, and behavioral analysis, making them an integral part of modern security and automation systems. Competitive Landscape The AI camera market is highly competitive, with major players investing in R&D to enhance AI capabilities and improve real-time image processing. Key Players: Hikvision - Leading provider of AI-powered security cameras with facial recognition and behavior analytics.Dahua Technology - Specializes in AI-driven surveillance solutions and smart city applications.Axis Communications - Focuses on high-resolution AI-enabled cameras for industrial and security applications.Sony Corporation - Develops AI-enhanced image sensors for smartphones and industrial cameras.Samsung Electronics - Innovates AI-powered computational photography for smartphones and home security cameras.Google - Implements AI-based imaging technology in Pixel smartphones and Google Nest security cameras.Tesla - Utilizes AI cameras for full self-driving (FSD) capabilities and advanced driver monitoring. The competition is intensifying as companies integrate AI-driven features such as predictive analytics, deep learning models, and cloud-based AI enhancements. Key Strategies Adopted by Market Players Investments in AI & Deep Learning - Companies are integrating machine learning algorithms to improve object detection and image processing.Mergers & Acquisitions - Leading brands are acquiring AI-based startups to enhance product offerings.Edge AI & Cloud Integration - Players are focusing on AI cameras with edge computing to reduce latency and enhance real-time analytics.Sustainability & Energy-Efficient AI Cameras - Growing demand for low-power AI chips to optimize energy consumption in smart surveillance. Market Drivers Surging Demand for Smart Surveillance: Increasing security concerns drive AI-powered monitoring solutions.Growth of Autonomous Vehicles: AI cameras enhance navigation, obstacle detection, and safety measures.Retail & Smart Advertising: AI-driven customer analytics optimize marketing strategies and consumer engagement.Healthcare Innovations: AI-enabled diagnostic imaging and patient monitoring transform medical applications. Stay ahead of the competition -- request a customized report today! https://www.transparencymarketresearch.com/sample/sample.php?flag=S&rep_id=86009 Unlocking Growth Opportunities in the AI Camera Market Smart Cities and Infrastructure Development Governments worldwide are investing in AI-powered surveillance to enhance urban safety and traffic management.AI cameras integrated with 5G networks enable real-time monitoring and smart city automation. Expansion in Healthcare and Industrial Applications AI-driven cameras are gaining adoption in medical imaging, robotics, and automated quality control in manufacturing.The demand for AI-powered medical imaging solutions is expected to rise with increasing healthcare digitization. Rising Adoption of AI-Powered Smartphones Smartphone manufacturers are leveraging AI-driven cameras to enhance computational photography, night mode, and object recognition.AI-powered video stabilization and deep learning-based enhancements are becoming key differentiators in flagship smartphones. Autonomous Vehicles and ADAS Systems AI cameras play a crucial role in object detection, lane recognition, and driver monitoring in autonomous vehicles.The increasing adoption of electric and self-driving vehicles is expected to drive demand for AI-based vision systems. Regulatory Landscape Governments and regulatory bodies are implementing policies to ensure ethical and responsible AI camera deployment. European Union's AI Act: Regulates the use of AI in surveillance and facial recognition technology.General Data Protection Regulation (GDPR): Enforces strict data privacy rules for AI-powered security cameras.U.S. Federal AI Regulations: Increasing scrutiny on AI-powered surveillance in public and private spaces.China's AI Surveillance Policies: Expansion of AI-driven facial recognition in public safety, but concerns over mass surveillance. Companies must navigate complex regulatory frameworks to ensure compliance with AI camera deployment in different regions. Future Outlook The AI camera market is expected to continue its upward trajectory, with several factors shaping its future: Increased AI Capabilities: Advancements in neural network-based image processing will enhance AI cameras' accuracy and efficiency.Integration with 5G and IoT: AI cameras connected via 5G networks will enable seamless real-time monitoring and analytics.AI-driven Personalization: AI-powered consumer cameras will offer enhanced features such as automatic scene recognition and smart adjustments.Wider Adoption in Industries: AI cameras will play a crucial role in industrial automation, precision agriculture, and robotics. By 2032, AI-powered cameras will be deeply integrated into everyday life, enhancing security, automation, and data-driven decision-making across industries. Key Market Segments By Technology: Edge AI Cameras, Cloud AI Cameras, Embedded AI Cameras By Application: Security & Surveillance, Automotive, Healthcare, Retail, Industrial Automation By Region: North America, Europe, Asia-Pacific, Latin America, Middle East & Africa Purchase the Full Market Report Today: https://www.transparencymarketresearch.com/checkout.php?rep_id=86009&ltype=S Investment Opportunities Startups & Emerging Players: Innovations in AI chipsets and software-defined cameras.Mergers & Acquisitions: Increasing consolidation to enhance AI camera portfolios.Government & Enterprise Adoption: Strong demand in smart cities and public safety initiatives. The Artificial Intelligence (AI) Camera Market is poised for significant growth, driven by rising demand for smart surveillance, edge AI processing, and automation across industries. With continued advancements in deep learning, computer vision, and 5G connectivity, AI-powered cameras will play an increasingly vital role in security, automotive, healthcare, and consumer electronics. However, challenges related to privacy, regulation, and cost need to be addressed for sustainable market expansion. Companies investing in AI-driven innovations and ethical AI deployment will be best positioned to capitalize on this growing market. As industries continue their digital transformation, AI cameras will remain a key component in shaping the future of smart security, automation, and real-time decision-making. Explore Latest Research Reports by Transparency Market Research: Europe Military Free Space Optics Communication Market - Europaischer Markt für militärische Freiraumoptik-Kommunikation is estimated to advance at a CAGR of 16.27% from 2025 to 2035 and reach US$ 1297.51 Million by the end of 2035.Multilayer Varistor Market - Markt für Mehrschichtvaristoren is estimated to grow at a CAGR of 6.9% from 2025 to 2035 and reach US$ 1.1 Billion by the end of 2035. About Transparency Market Research Transparency Market Research, a global market research company registered at Wilmington, Delaware, United States, provides custom research and consulting services. Our exclusive blend of quantitative forecasting and trends analysis provides forward-looking insights for thousands of decision makers. Our experienced team of Analysts, Researchers, and Consultants use proprietary data sources and various tools & techniques to gather and analyses information. Our data repository is continuously updated and revised by a team of research experts, so that it always reflects the latest trends and information. With a broad research and analysis capability, Transparency Market Research employs rigorous primary and secondary research techniques in developing distinctive data sets and research material for business reports. Transparency Market Research Inc. CORPORATE HEADQUARTER DOWNTOWN, 1000 N. West Street, Suite 1200, Wilmington, Delaware 19801 USA Tel: +1-518-618-1030 USA - Canada Toll Free: 866-552-3453 Website: https://www.transparencymarketresearch.com Email: sales@transparencymarketresearch.com Follow Us: LinkedIn| Twitter| Blog | YouTube Market News and Data brought to you by Benzinga APIs

Benzinga

Mon, 17 Feb, 6:09 PM UTC

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