Hakimo, a venture-backed company dedicated to modernising physical security, has announced the release of its smart monitoring software powered by artificial intelligence (AI) that aim to manage enterprise physical security operations.

Hakimo’s software significantly streamlines the workflow of a global security operations centre (GSOC) by opening free time for operators and by surfacing security threats that would have gone unnoticed before. Sam Joseph, Co-Founder and Chief Executive Officer of Hakimo, commented:

“Hakimo leverages state-of-the-art deep learning technology developed over the last few years. What Hakimo is doing today was literally impossible to achieve just a decade ago. Hakimo-like tools have been the norm in the cybersecurity industry and Hakimo is pioneering the convergence between cybersecurity and physical security by bringing them to physical security.”

The damage that a malicious person can do within a secure facility has no bounds, hence tailgating is a serious concern for every security organisation. Hakimo’s software recognises tailgating using existing cameras without needing any additional hardware to be deployed. What is more, Hakimo has a performance rate that even beats out other tailgating solutions that rely on specialised hardware, such as sensors.

Corporate security systems infused with Hakimo’s software have reported a 99% precision rate on many events analysed by the system, making it the best performing tailgating detection system.

What is more, Hakimo goes a step further with its holistic approach to solving tailgating. Hakimo not only detects tailgating but also provides gamification tools and automated email alerts to bring about behaviour change in employees.

What’s even worse is the fact that GSOCs miss real security breaches that destroy the entire purpose of having a 24×7 security operations centre and represent the security team in a bad light.

Another thing that Hakimo uses is video analytics to auto-resolve false alarms and consistently reduces nuisance alarms by 75 to 85%. In this way, GSOC operators can focus on real issues that require true human attention. Alternatively, the same GSOC can deal with five times the volume of alarms with the same amount of resources. Another useful tool in Hakimo’s toolkit is pointing out anomalies in cardholder behaviour.

Hakimo was founded by AI researchers at Stanford University and raised a $4 million seed round from several top Silicon Valley investors. Its solution is currently deployed at several enterprises across the country.

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Nikoleta Yanakieva Editor at DevStyleR International