Machine learning and artificial intelligence are some of the biggest buzzwords in IT today, but before you jump on the bandwagon and trade in your old tech, there are a few things you should consider.
However, before we get into whether you’re ready to leverage this innovative technology, let’s start by defining what artificial intelligence is, how it’s different from machine learning, and where deep learning fits in. These terms are often confused and should not be used interchangeably, as they each perform a specific in computer automation and analytics.
Artificial Intelligence (AI)
Artificial intelligence is a broad science, based on mimicking human abilities. AI can be used to analyze data quickly and deliver outcomes to users.
Machine Learning (ML)
Machine learning is a subset of AI that teaches a machine to perform specific functions, typically used for repetitive tasks or for parsing large amounts of data. ML analyzes raw data and looks for patterns that can yield insights beyond basic analytics.
Deep Learning (DL)
Deep learning analyzes data and data patterns and also uses advanced algorithms to ask questions about the data and yield advanced insights. These algorithms are developed by data scientists.
These methods of data analysis can work independently, or they can all work together in a complementary approach.
What is Next-Gen Security?
Hackers are constantly trying new and improved methods to exploit security measures, and IT security is continually evolving to keep up. In recent years, phishing, malware, and ransomware attacks are more prevalent than ever. Traditional endpoint security was struggling to keep up, and it was clear that a new solution was needed.
Next-Gen security uses tools that leverage AI, ML, and DL to continuously learn about evolving threats and puts that information to work to counter them in real time.
Why Is Next-Gen Security More Effective?
Traditionally, endpoint security was used to define and identify viruses and threats that had already attacked. Once identified, security measures could be created to defend against these known threats. However, because endpoint security needs an attack to have taken place in order to identify the methods used, it has a difficult time keeping up with the latest threats. By only being able to address threats that have already happened, you are vulnerable to new attacks.
Next-Gen security is different. Using tools programmed with the logic of AI, ML, and DL, It proactively protects against higher layer attacks, DDOS attacks, and can detect and block a suspicious deviation in behavior.
Create a Coordinated Security Posture
To create an effective security strategy, using all of the tools in your toolbox is the best approach. Combining Next-Gen security with traditional endpoint security can create a coordinated security posture that protects you from old and new threats.
By adding Endpoint Detection and Response (EDR) to your Next-Gen security tools, you can more effectively cover all your security bases. EDR uses continuous monitoring to identify and notify you of potential threats. It can also be used to respond to advanced threats, providing a layer of security to protect from broad attacks.
Using EDR with Next-Gen security you can combine the continuous monitoring with programming that can learn from existing threats to help identify new ones. With this coordinated security posture, you can:
- Identify and remediate breaches faster
- Get better reporting of your overall security posture
- Use automation for a less labor-intensive and time-consuming approach
Using a coordinated security system can identify and protect you from a threat before any damage is done, exponentially reducing your risk of a breach.
Protect Yourself and Your Data
Protecting your network and any sensitive, financial, or confidential data on it is a big job. By using the tools available in a coordinated security system, you can better protect your network from threats.
To learn more about how a coordinated Next-Gen security system can help keep your data safe, check out our ebook, The Realities vs. The Hype of Next-Gen Security.