Machine Learning & Cyber Security Software
Machine learning and cyber security software are constantly evolving, so it’s critical that your organization keeps up with the latest technology to protect your systems. We incorporate machine learning (ML) into our custom cyber security software development, ensuring that your precious data is meticulously safeguarded from the cyber-attacks that are becoming increasingly common in today’s digital landscape.
Just one data breach can have disastrous repercussions, so don’t take cyber security lightly. The unfortunate reality is that many companies don’t realize the value of a stalwart cyber security system until it’s too late. Understanding cyber security basics is just the start. Today’s cybercriminals are using cutting-edge technology, so it’s absolutely imperative that you are too.
Let’s take a look at why machine learning and cyber security are the perfect match.
AI vs ML: What’s the Difference?
Before we dive into the benefits of machine learning and artificial intelligence as an integral part of a robust cyber security system, you should understand the slight differences between the two terms.
Artificial intelligence is the overarching concept of machines performing tasks in a way that mimics how humans learn and solve problems.
Machine learning is a type of artificial intelligence. It’s the application of AI that allows a computer to utilize data to ‘think’ and ‘learn’ on its own without human intervention.
So, while the terms are often used interchangeably when referencing artificial intelligence, machine learning, and cyber security, they’re slightly different. In short, machine learning is a subset or branch of artificial intelligence that refers to the ability of a machine to learn—hence the name! That said, if you misuse the terms, most people will still understand what you mean.
Now that you better understand what machine learning is, let’s discuss the benefits associated with ML in the context of cyber security software development.
1. Ever-Evolving Intelligence
Cyber threats aren’t static. Preventative measures that work now may not be viable tomorrow. After all, cybercriminals are always finding new ways to infiltrate systems. That’s why incorporating agile, adaptable machine learning and cyber security strategies is an absolute must. There’s no ‘set-it-and-forget-it’ approach in the constantly morphing cyber security realm. Reliable protection requires ongoing vigilance.
That’s what makes machine learning so powerful. Machine-learning software can use big data to recognize and identify neural network patterns that trigger immediate responses to threats and gain and develop new ‘knowledge’ to stop malicious behaviors in their tracks.
For example, your email’s spam folder is a basic example of machine learning—the system is able to recognize unwanted and potentially harmful emails and remove them before they hit your inbox. When you flag an email as spam, you are helping the algorithm to ‘learn’ what to look for.
Of course, that's just a very simplified example; today’s machine learning and cyber security systems are highly sophisticated and grow stronger by the day, especially if you utilize the incredible power of cyber security software development that’s customized specifically for your organization. After all, while some cyber security methods are universal, many different industries require custom-tailored solutions that cater to specific types of threats.
2. Big Data Processing Capabilities
A massive amount of data gets transferred between customers and businesses. It would be impossible for humans or traditional cyber security programs to skim through that amount of traffic to identify potentially harmful activities, but self-learning software is capable of automating the scanning process through the creation of algorithms.
A major reason why machine learning and cyber security complement each other so well is that ML software can ‘learn’ to recognize the difference between unusual activity and nefarious activity. There are plenty of legitimate reasons for atypical occurrences on networks, but that doesn’t necessarily mean that they’re threats. ML software uses past experiences to continually update itself, making it far more adept at recognizing the real threats.
3. ML Can Prioritize
ML cyber security systems use a process called network risk scoring to break down networks into sections based on their potential risk. Knowing which sections of the network are least and most vulnerable empowers companies to prioritize resources based on concrete data.
Additionally, machine learning and cyber security systems can hone in on the most dire threats. For example, a breach in a company’s HR department could expose sensitive employee information and personal data, causing irreparable harm. Likewise, if a cybercriminal was able to hack into your finances, the damage would be devastating. The great thing about ML cyber security software development is that the ‘smart’ software knows where and when it’s needed most.
Safeguard Your System
The benefits of machine learning as part of your cyber security strategies simply cannot be overstated. If you’re still relying on outdated cyber security systems, you’re giving cybercriminals the advantage. If you’re ready to bolster your networks with a customized machine learning and cyber security system, or if you simply need to modernize your existing system, we can help.
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Soluntech is an award-winning, full-stack, end-to-end development agency. We provide a wide range of professional services for 80+ clients from all over the world, spanning a wide range of industries. Our turnaround times are 10x faster than the industry standard, and we boast a 91% success rate. On average, our clients enjoy a 21x ROI in just two years. Explore our case studies for examples of the level of quality and innovation we bring to the table.
We hope this overview of machine learning and cyber security has been informative. Of course, cyber security software development goes much more in-depth than what we’ve covered here, so please don’t hesitate to get in touch if you have any questions. We invite you to schedule a free pre-consultation meeting so we can discuss your organization’s cyber security needs. Brainstorm with an expert now.
