Hakimo Enters Security Market With AI Software for Intelligent Access Control Monitoring

Hakimo says its AI software serves as a workforce multiplier, enabling GSOCs to handle five times the amount of alarms without additional manpower.

MENLO PARK, Calif. — Hakimo, a venture-backed company dedicated to modernizing physical security, announces the release of its smart monitoring software powered by artificial intelligence (AI) to holistically manage enterprise physical security operations.

Hakimo’s software is said to significantly streamline the workflow of a global security operations center (GSOC) by freeing up time for operators and by surfacing security threats which would have gone unnoticed previously.

“Hakimo leverages state-of-the-art deep learning technology developed over the last few years,” says Sam Joseph, co-founder and chief executive officer of Hakimo. “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 company says tailgating is a serious concern for every security organization because the damage that a malicious person can do within a secure facility has no bounds. Hakimo’s software detects tailgating using existing cameras without needing any additional hardware to be deployed.

Hakimo also claims to have an industry-leading performance rate that beats out other tailgating solutions that rely on specialized hardware, such as sensors. Tests show that corporate security systems infused with Hakimo’s software reported a 99% precision rate on hundreds of thousands of events analyzed by the system, making it the best performing tailgating detection system in the industry, according to the company.

In addition to just detecting tailgating, Hakimo provides gamification tools and automated email alerts to bring about behavior change in employees.

Hakimo notes that GSOCs suffer from false alarms and the ensuing alarm fatigue because of the sheer impractical volume of alarms that must be managed, as well as the fact that GSOCs routinely miss real security breaches which destroys the entire purpose of having a 24×7 security operations center and puts the security team in a bad light.

The company uses video analytics to auto-resolve false alarms and consistently reduces nuisance alarms by 75% – 85%. This gives time back to the GSOC operators to focus on real issues that require true human attention, such as real security incidents, emergency response, and travel risk management. Alternatively, the same GSOC can now handle five times the volume of alarms with the same amount of resources, Hakimo says.

Hakimo’s data analytics algorithms also analyze alarms across time and diagnose faulty hardware such as door sensors and sensors, as well as point out anomalies in cardholder behavior. It can point out impossible travel (the same card being used at multiple locations within a short duration which is physically impossible), unusual time or location of usage, and more.

The company was founded by AI researchers at Stanford University and raised a $4 million seed round from several top Silicon Valley investors. The round was led by Neotribe Ventures and saw participation from defy.vc, Firebolt Ventures, and prominent angels such as Ameet Patel, Prasanna Srikhanta, and Stanford professor Sachin Katti. Hakimo says its solution is currently deployed at several leading enterprises across the country.

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