Examples of Machine Learning and Corporate Security | Ron Navarreta

1/13/2021

Examples of Machine Learning and Corporate Security | Ron Navarreta | Corporate Security

a Examples of Machine Learning and Corporate Security

by Ron Navarreta | Jan 13, 2021 | Corporate Security, Ron Navarreta

Machine learning is a subset of arti cial intelligence that has real-world applications. It works because of computer algorithms that improve automatically through their own experience, not because of human interaction. These complex algorithms analyze and process vast volumes of data at superhuman speed, then detect patterns and make predictions. Since most breaches to corporate security are caused by inadvertent or malicious control at user-access points, it’s essential to look for ways to stop the problem at its source. Machine learning helps businesses analyze and respond to threats at a much faster rate without impeding company growth. Machine learning also enables companies to analyze their networks and endpoints for vulnerabilities, as well as the new exciting world of threat intelligence.

Darktrace is an AI company that specializes in cyber defense. It was founded in 2013 and boasts 44 o ces around the world. They made the news after identifying and preventing a cyber attack on a casino. Hackers breached an IoT device that turned out to be a vulnerable point of entry – a network-connected sh tank. Darktrace also prevented users from the WannaCry attack, which infected over 200,000 victims in over 150 countries. https://ronnavarreta.co/examples-of-machine-learning-and-corporate-security/

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1/13/2021

Examples of Machine Learning and Corporate Security | Ron Navarreta | Corporate Security

Darktrace spotted the attack within seconds and mitigated it. Every customer under their protection was secure, even those who had not yet been patched against the virus.

MobileIron is a software rm that manages endpoint and enterprise mobility for mobile devices. They partnered with Zimperium, a mobile security company that provides software solutions against threats. Together, they are partnering to give the enterprises mobile anti-malware based on machine learning. This will enable near-instantaneous threat detection and resolution model for mobile devices.

In this age of Bring Your Own Device (BYOD) workplaces, it is more important than ever to ensure safety, so it’s no surprise that the market competition is increasing. Other companies are joining the IT security machine learning industry. LookOut is a proprietary software algorithm that protects against phishing scams. Today’s scam attempts no longer come solely in the form of email but also through apps, messaging, and social media platforms. Symantec’s Skycure provides agent-based security programming for mobile devices by interacting with the cloud environment and providing detection against intrusion.

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Examples of Machine Learning and Corporate Security | Ron Navarreta | Corporate Security

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