Rite Aid will not be able to use any kind of facial recognition security system for next five years as part of its settlement with the Federal Trade Commission, which accused it of "reckless use of facial surveillance systems." The FTC said in its complaint that the drugstore chain deployed an artificial intelligence-powered facial recognition technology from 2012 to 2020 to identify customers who may have previously shoplifted or have engaged in problematic behavior. Apparently, the company had created a database with "tens of thousands" of customer images, along with their names, dates of birth and alleged crimes. Those photos were of poor quality, taken by its security cameras, employees' phones and even from news stories. As a result, the system generated thousands of false-positive alerts.

Even though security solutions are becoming modern and robust, cyber threats are ever-evolving and always on the peak. The main reason for this is because the conventional methods to detect the malware are falling apart. Cybercriminals are regularly coming up with smarter ways to bypass the security programs and infect the network and systems with different kinds of malware. The thing is, currently, most antimalware or antivirus programs use the signature-based detection technique to catch the threats, which is ineffective in detecting the new threats. This is where Artificial Intelligence can come to rescue.

Advanced threats, a shortage of security experts and the rise in work-from-home together form a catalyst for MSPs to enhance cybersecurity effectiveness for their customers. As MSPs seek ways to increase efficiency and do more with less, they're turning to advanced analytical capabilities like machine learning, security analytics and automation. All of these have moved past their initial hype cycle and are now adopted and delivering enhanced ROI and outcomes in IT and cybersecurity. "The future of your business is Big Data and Machine Learning tied to the business opportunities and customer challenges before you." Machine learning and automation are more than popular buzzwords in the cybersecurity industry.

Overcome the skills shortage and alert fatigue with advanced machine learning and automation technology. Advanced threats, a shortage of security experts and the rise in work-from-home together form a catalyst for MSPs to enhance cybersecurity effectiveness for their customers. As MSPs seek ways to increase efficiency and do more with less, they're turning to advanced analytical capabilities like machine learning, security analytics and automation. All of these have moved past their initial hype cycle and are now adopted and delivering enhanced ROI and outcomes in IT and cybersecurity. "The future of your business is Big Data and Machine Learningtied to the business opportunities and customer challenges before you."

Cybersecurity is in a dire state. A few years ago, 70 million Target customers were affected by a large-scale cyber attack. Target's CIO was immediately let go in the wake of such an unthinkable disaster. Now 70 million seems like a tame number after revelations of devastating cybersecurity incidents like the Equifax breach, which affected 143 million Americans, and the Yahoo account debacle came to light. Each attack compromised millions upon millions, maybe even billions, of citizens.

Cyber Security is a rapidly evolving industry, projected to become a $232 billion global market by 2022. This estimated valuation reflects a significant rise from last year, in which the market value reached $137.8 billion worldwide in 2017. The emergence of mobile platforms and cloud-based enterprise apps, coupled with the increased adoption of advanced technologies such as fingerprint identification and biometrics have collectively fueled a notable spike in the space. Although cyber security is attracting greater attention across the globe, the United States stands as the dominant force leading the charge for innovation. Brian Beyer serves as the CEO of Red Canary, a cyber security company that combines machine learning and human intelligence to develop cutting edge detection and response software to mid-market businesses.