Five Reasons Why Machine Learning Needs To Make Resumes Obsolete

Five Reasons Why Machine Learning Needs To Make Resumes Obsolete

Machine Learning Needs To Make Resumes Obsolete Hiring companies nationwide miss out on 50% or more of qualified candidates and tech firms incorrectly classify up 80% of candidates due to inaccuracies and shortcomings of existing Applicant Tracking Systems (ATS), illustrating how faulty these systems are
Breached Data

No Google+? No Problem

No doubt you heard about the death of Google+? The reports of the death of Google+ are not exaggerated. But it’s an exaggeration to say that Google shut it down because of a data breach. Rather, Google shut it down because of an API vulnerability

DLP Technology

In regards to data loss prevention (DLP), in the last five years many companies rushed to implement DLP solutions without taking the time to first identify the data that should not transit egress points. Most of these rushed implementations have not been successful. Security analysts, in particular 451 Research, have been recommending that companies should first identify and classify data before deploying DLP. Unfortunately, we are just now seeing companies execute this approach. Companies in 2017 that identity and classify data before they begin implementing DLP solutions will see a dramatic increase in the effectiveness of their data protection programs.

In 2017, attacks that seek to access a company’s sensitive data will increase. Some of the attacks will be conducted by activists looking to damage their targets’ integrity and reputation – similar to the intent behind the Sony breach. Other attacks will be for financial gain, predominantly tied to ransomware. Hiding behind the anonymity of bitcoin and other cryptocurrencies, ransomware continues to be a crime where the culprits can remain anonymous and difficult or even impossible to capture. Cybercriminals will continue to upload stolen data publicly to make investigations and containment trickier.

The likelihood of a data breach is higher than ever and organizations must get serious about the sensitive data sprawl that is occurring across their networks. In the case of the Sony breach, one of the biggest and most newsworthy breaches since 2014, the majority of the damage was done from sensitive data that was stored unprotected on their network. Companies need to develop enterprise-wide data security programs to address vulnerabilities.

Data sprawl continues to be a major threat to enterprises and governments alike. In the majority of recent attacks – the Home Depot breach, the SWIFT network breach, the DNC breach – the common denominator is the unaccounted-for sensitive data. Unknown or misplaced sensitive data that is stolen is the most valuable to the cyber thieves and the most devastating to companies. Enterprises and government organizations must take action to ensure they eliminate sensitive data sprawl across their organizations. This is the very first and most critical step in protecting themselves, their employees and their customers from the major risk of a data breach.

We also see Internet of Things (IoT) devices as a weak link in the security chain. The vast majority of IoT device manufacturers are not be able to address security threats, as we saw in the DDoS Dyn attack. Early IoT security failures will push the industry toward authentication standards but these standards will not be implemented before 2017 comes to a close. Operational technology needs to be aggressive with their cybersecurity approach – by hiring experts and assigning the businesses responsibility of cybersecurity to individuals.

By Dr. Jo Webber

Jo Webber

Dr. Webber is an experienced technologist and software company CEO having led three previous companies including Energy Solutions International, an Inverness Graham Portfolio company. She has served on 12 boards and has substantial M&A and international experience.

She has a PhD in Quantum Physics and has authored four patents. She is a Fellow of the Royal Society of Chemistry.

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