The use of artificial intelligence (AI) in cybersecurity, while often overhyped, is not a new concept. Hackers have included countermeasures in malware since its inception to detect runtime environments or sense detection attempts. Early actions were primitive compared to what we know today, but they laid the groundwork for more critical thought about adaptive and evasive technologies and sophisticated situational awareness. This lethal combination of research and deep targeting is likely the future of malware as adversaries attempt to outsmart the companies and researchers trying to thwart them.
Repurposing video surveillance and artificial intelligence and analytics traditionally used for security initiatives within the healthcare space can increase positive patient interactions and bring additional value to your current electronic physical security solutions.
How will artificial intelligence (AI) transform video surveillance in 2021? Below, we speak to Satish Raj, CTO of Pro-Vigil, who believes AI in digital video surveillance systems will become much smarter next year, to the point where it will be able to actually predict crime before it happens.
As we move past an unprecedented year of change, everyone is eager to see what 2021 has in store. For those in the security and surveillance space, of particular interest is how video content analytics might evolve to support emerging use cases. In that vein, Deep Learning and Predictive Analytics are among the key technologies that will continue to benefit video surveillance solutions development and adoption in 2021 - here's why.
Gun safety isn’t a new issue in the U.S., of course — it’s a hot-button political issue, to say the least. Regardless, there is no debate that every organization wants to keep its community safe. So, like almost every other aspect of life that has undergone transformational change over the past decade, the main driver of change in the immediate term will be cutting-edge technology.
Dr. Chase Cunningham, a recipient of Security magazine's Most Influential People in Security, has joined Ericom as its Chief Strategy Officer. In this role, he will shape the company's strategic vision, roadmap and key partnerships. Dr. Cunningham previously served as vice president and principal analyst at Forrester Research, providing strategic guidance on Zero Trust, artificial intelligence, machine learning and security architecture design for security leaders around the globe.
It’s undeniable that Machine Learning (ML) is changing the game for securing cloud infrastructure. Security vendors have rapidly adopted ML as part of their solutions, and for good reason: By analyzing massive quantities of data, it can help identify threats, speed incident response, and ease the burden on over-taxed security operations teams.
The Kenosha Unified School District (KUSD) of Wisconsin has selected an AI-based platform focused solely on weapons detection to help improve security on its campuses. The solution will identify visible guns if present and send alerts to school administrators and security personnel within three to five seconds, helping to stop violent threats before they occur.
Bottom line – the correct video management solution can drive sales and reduce thefts.
Let’s imagine you have a theft in your retail store and report it to your insurer. The first question you will most likely be asked is, “what preventive measure did you employ?” and if you have none, or very minimal in place, then for the sake of your premiums and preventing thefts from your premises, it really is time to start considering a video surveillance solution.
Artificial intelligence (AI) is now a major priority for government and defense worldwide — one that some countries, such as China and Russia, consider the new global arms race. AI has the potential to support a number of national and international security initiatives, from cybersecurity to logistics and counter-terrorism.