Machine learning is the first technology that actually scales and produces a repeatable way for expert views and definitions, in any enterprise, to be made available to every employee. By enabling organizations to harness the power of machine learning in concert with their current information security policies, it offers the ability to scale their existing data protection strategy efficiently and effectively, without placing an additional burden on their employees.
We announce you that an intelligent protection now exists, which adds machine learning advances to all cybersecurity solutions. All customers can now build and deploy a model based on company-specific data protection by leveraging machine learning in order to provide consistency and accuracy to data protection initiatives.
Intelligent protection train costumers solutions by adding an element of automation to the identification and classification of documents and emails.
Companies have already embraced the use of artificial intelligence and machine learning to evaluate and understand the massive amounts of data generated and consumed daily. The new approach may be the very first ‘silver bullet’ to cyber attacks.
The use of machine learning to replace or help data protection decisions has the potential to change the way companies approach data cybersecurity initiatives.
Machine learning enables companies to automate processes based on existing information, create policies with confidence while offering an experience for end users.
Remember everything can be hacked. In order to stay away from any threats related to the cyber world, we recommend the install of antivirus for Windows or antivirus for Mac on every device that you own, depending on which OS your device is running. If you are a company, it is also recommended to hire every year a specialized cybersecurity company that will run annual tests on your company’s network. These tests include penetration testing and ethical hacking tests;
Intelligent Protection extends the capabilities of the company’s classification suite and reduces ambiguity in information identification and classification, and to enhance the consistency in which policies are applied. Applying machine learning in this way augments the work of IT and security administrators, providing them with confidence in how information is identified and protected. Capabilities immediately available include:
– Confident automation and protection of sensitive information: As organizations look to deploy data protection across all employees, this technology offers opportunities to minimize the friction that comes with such a move as much as possible.
– Machine learning-assisted classification: With the integration of intelligent protection capabilities, users will see a recommended classification for content they’ve created based on the recommendation of their machine learning model.
– Extend intelligence to the ecosystem: After a customer applies intelligence to identify sensitive information, that identity travels with the data. This helps optimize an organization’s security strategy by bringing a set of context to rights management and/or data loss prevention solutions, including cloud access security brokers (CASBs) and/or next-generation firewalls (NGFWs).
Keep in mind that our modern society is dependent on computers, mobile devices, and the use of the internet always stay safe and secured.
We would continue to monitor the cybersecurity world. Meanwhile, users should keep a keen eye out for any cyber attacks. Remember to use an antivirus for Windows or antivirus for Mac in every device that you own, depending on which OS your machine is running, If you are a company we recommend to hire every year a specialized cybersecurity company that will run annual tests on your company’s network, tests like this include: penetration testing and ethical hacking.