Large corporations and enterprises are at a high risk of falling victim to cyberattacks. They hold the most valuable information and are bigger targets for ransomware and financial extortion. However, technological advancements in cybersecurity are rapidly evolving and catching up with threats. Enterprises with a massive security budget are more likely to take advantage of those security updates.
One security method takes advantage of data analysis and combines it with supercomputers that can do millions of calculations per minute. Behavioral analysis is the new way enterprises can keep themselves safe by detecting an attack before it happens by following common cyberattack patterns that can even predict zero-day attacks.
Behavioral analytics relies on analyzing the data coming from various endpoints of an enterprise’s network. The goal is to neutralize attacks as they occur and detect ones that slip through before causing irreversible damage. Behavioral analysis can be more specific by separating data from different endpoints, narrowing the process of handling significant amounts of data, and saving time.
Enterprises usually carry countless endpoints that are easy to exploit from both the inside and outside. Behavioral analysis considers the uniqueness of the threats each enterprise faces and works to combat them.
Over time, the learned behavior of your machine will grow to better suit your company. The more time and data you give it, the better security behavioral analysis can offer.
Artificial Intelligence and Analysis
Machine learning and artificial intelligence come into play when there are large sums of data for analysis. The more data you can provide, the more accurate the results and future predictions are. Artificial intelligence and machine learning can detect known behavioral patterns and find new ones, allowing the security system to alert when it notices such behavior at any point in the network.
Behavioral analysis also plays a critical part in stopping and preventing insider threats. By following and carefully analyzing a safe employee’s behavior, the algorithm can catch any suspicious behavior that may be a sign of an attack. They also allow managers to identify employees who are accidentally compromising the network’s safety and security by analyzing their behavior and comparing it to sound practices.
Artificial intelligence is evolving fast. Over time, this means determining dangerous and suspicious behavior would need less time and data for accurate results. While behavioral analysis as a technology is relatively new to cybersecurity, pairing it with more seasoned tools is ideal for boosting its growth.
There are unmistakable behaviors that might indicate an employee or contractor is attempting to launch an insider attack or cause a data leak. Some of the red flags include:
- Downloading data to an external hard drive or flash drive that isn’t company-issued
- Uploading company data to a personal cloud account
- Sending and receiving emails using their personal email address instead of the company-issued address
- Sending and receiving an unusual number of emails
- Calling unknown numbers using company or personal phone numbers
- Calling and receiving an unusual number of calls
- Looking for a new job on company time
- Using keywords flagged as dangerous by the security system
Some employees might be doing one or more of these behaviors without any malice. However, they’re still good warning signs to notify said employees of their inappropriate behavior and educate them on what it could entail. In case the conduct was of malicious intent, take immediate action against the individual, checking for possible damages, and patching up any security holes they might have caused.
Top-of-the-Line Cybersecurity Software
To avoid falling victim to otherwise easily-preventable attacks, whether insider or not, you need to invest in enterprise incident and response management tools and software to protect your network and system. The most suitable for a large enterprise that also wants to implement behavioral analysis is a cloud-based endpoint detection and response (EDR) software.
Cloud-based EDR works by monitoring and collecting data from all endpoints, using a centralized cloud-based command center, and continuously monitors them for breaches, attacks, and malware. Thanks to its continuous collecting of data, it works wonders when paired with behavioral analysis, providing it with all the data it needs to find patterns and information.
Depending on Data
Outsider threats, such as fileless malware and breaches, aren’t the only types of cyberattacks growing in frequency and complexity. To protect your business, you need a system that continually updates its knowledge base of attacks. The best way to do this is by using software that implements artificial intelligence and machine learning, as its expertise and knowledge grow on their own as long as you keep supplying it with lots of raw data.