Today’s smart machines and solutions can leverage advances in AI technology to perform any number of specialized tasks or operations from sweeping your floor to or completing a sentence in an email – or keeping phishing messages away from your employees.
What is AI & How Does it Work?
What is AI?
Artificial intelligence (AI) broadly refers to any human-like behavior displayed by a machine or system that enables it to perform a function or complete a task. In AI’s most basic form, computers are programmed to “mimic” human behavior using extensive data from past examples of similar behavior.
Source: Hewlett Packard Enterprise
What is Machine Learning?
Machine Learning (ML) refers to the process by which computers develop pattern recognition, or the ability to continuously learn from and make predictions based on data, then make adjustments without being specifically programmed to do so.
Source: Hewlett Packard Enterprise
AI Based on Functionality
Reactive Machine – This AI has no memory power and does not have the ability to learn from past actions. IBM’s Deep Blue is in this category.
Limited Theory – With the addition of memory, this AI uses past information to make better decisions. Common applications like GPS location apps fall into this category.
Theory of Mind – This AI is still being developed, with the goal of its having a very deep understanding of human minds.
Self-Aware AI – This AI, which could understand and evoke human emotions as well as have its own, is still only hypothetical.
AI Based on Capabilities
Artificial Narrow Intelligence (ANI) – A system that performs narrowly defined programmed tasks. This AI has a combination of reactive and limited memory. Most of today’s AI applications are in this category.
Artificial General Intelligence (AGI) – This AI is capable of training, learning, understanding, and performing like a human.
Artificial Super Intelligence (ASI) – This AI performs tasks better than humans due to its superior data processing, memory, and decision-making abilities. No real-world examples exist today.
Source: Hewlett Packard Enterprise
10 Facts About AI & Cybersecurity That You Need to Know
Security automation is the next great cybersecurity frontier. AI and machine learning are driving the charge.
- Security automation and AI can save businesses more than 80% of the cost of manual security.
- 42% of companies in an IBM survey cited AI and security automation as a major factor in their success at improving their cybersecurity posture.
- Almost one-quarter of companies in the IBM/Ponemon Cyber Resilient Organizations Survey cited adopting solutions that used AI and machine learning as crucial to improving their cyber resilience.
- AI-powered and automated email security is over 40% more effective at spotting and stopping malicious messages than tools like a SEG or native security.
- 76% of IT executives in a cybersecurity survey said that automation and AI maximized the efficiency of security staff.
- AI and security automation enabled organizations to respond to breaches nearly 30% faster than companies without security automation.
- Companies investing in automation have a four-fold advantage in stopping a targeted cyberattack.
- 41% of companies employ AI security tools like automated email security.
- Security automation is the number one way to reduce a company’s attack surface.
- 46% of IT professionals believe that AI and automation is the key to alleviating the IT skills shortage.
Put the Power of AI to Work for You
Kaseya 365 User is an automated email security solution that is powered by AI. That means that it can intelligently sort and filter the emails that come into a company’s environment to determine which ones are safe and which ones are suspicious. How does it do that? By using a unique, patented algorithm that fosters machine learning, enabling it to learn each company’s unique communication patterns and refine its judgment criteria all by itself to tailor that company’s protection now and in the future.
