Improve Your Cybersecurity Posture with Graph Database Technology
With the continued proliferation of cybersecurity threats and attacks, one of the most important things you can invest in as a business is cybersecurity automation and reporting. With each of those tools, you create a new group of alerts and information to review. A graph database can be the answer to cutting through the noise these solutions can create.
Cybercrime rates are rapidly on the rise globally. With this realization, businesses need to know how important it is to protect sensitive data and keep customer details safely stored online. As businesses become cloud focused and as they work to improve customer access and data collection to serve their business, it’s becoming more difficult and more critical to identify threats.
Businesses must store at least some, if not all, of their data online to operate within the modern marketplace. Nowadays, many businesses have online shops or interfaces where they can store customer details to allow for online purchasing or engagement. This can often include sensitive information, such as names, addresses, financial details, proof of ID, and much more. The work from home expansion due to the COVID-19 pandemic, as well as increased needs of online or SaaS-based systems, has caused alerts and cybersecurity threats to increase to a level that SOC analysts can’t handle. They are simply unable to review all the screens within the extensive network of security tools their organization has deployed.
With the focused and effective steps outlined below, you can quickly improve your security posture. Keep in mind, graph database technology provides a level of data analysis that cannot be found elsewhere. The number one fear that people have complained about is the scalability of the alerts and data within their graph databases. TigerGraph’s massively parallel processing architecture ensures scalability to the level of terabytes of data with near-real-time analysis and automation of the activity you need.
Implement Centralized Threat Analysis with Graph
By deploying a graph database, like TigerGraph, you can feed all of your existing data feeds from the multiple disparate tools you use in your security stack to better review, correlate, and improve the level of visibility in user patterns, lateral movement, data mining, privileged user permissions escalation, malware attacks, ransomware data encryption, and much more.
Use Multi-Factor Authentication
Multi-Factor Authentication is an easy way to ensure that there are several stages required to reset a forgotten password or enter a database. These steps can include things like a CAPTCHA challenge, mobile notification, or security questions. Multi-factor authentication is considered one of the best cybersecurity tools for businesses to use.
It is not only effective but also relatively inexpensive to put into place.
Create Secure Networks and Centralize Visibility
Business intelligence and cybersecurity are the ultimate duo. Adding in centralized visibility with graph databases will enable fast, effective threat detection and analysis. In the modern world these technologies go hand in hand. It is important now, more than ever, to have a secure router as well as a secure Wi-Fi network and having a way to review the logs, data sources, alerts, anomalies, activity patterns, and overall threat review to guarantee you identify a security threat as early as possible in your MITRE ATT&CK kill chain.
Create Strong Passwords
While this one may seem fairly obvious, most people don’t actually realize the importance of having a strong password. A strong and secure password is an absolute must. Using multi-factor authentication along with strong passwords increases the best possible protection within your cybersecurity framework. Make sure that your employees use strong passwords that combine a secure combination of numbers, letters, and abstract characters. After guaranteeing this implementation, you will see the use of multi-factor authentication is an easily accepted improvement for your user community.
SOC Dashboard with Reporting, Analysis, and In-depth Algorithms
Cyberattacks are a constant and evolving threat to businesses. That is why it is absolutely vital to have the ability to constantly be on the watch for the imminent threats to your network and data. The improvements provided by TigerGraph’s centralized analysis makes early identification of active cyberthreats possible. Ensuring that you have constant reviews, automated identification, and correlation will ensure that your SOC or NOC analysts are not experiencing significant alert fatigue, you’ll reduce your overall false positives, and quickly weed through your false negatives as well.
The Bottom Line
While it can sound strange to focus on graph database technology for your improved cybersecurity posture, it is really a necessity in the growing threat landscape each business faces. Businesses that put securing their data on the back burner will face huge financial consequences, reputation losses and potential regulatory fines.
Losing the critical and highly sensitive data needed to run their business is definitely not a risk organizations can afford to take. Reach out to us to get a better idea of how graph database technology can help your security team, NOC team, or SOC team manage the threats they combat daily and improve your cybersecurity posture.
Dr. Jay Yu is the VP of Product and Innovation at TigerGraph, responsible for driving product strategy and roadmap, as well as fostering innovation in graph database engine and graph solutions. He is a proven hands-on full-stack innovator, strategic thinker, leader, and evangelist for new technology and product, with 25+ years of industry experience ranging from highly scalable distributed database engine company (Teradata), B2B e-commerce services startup, to consumer-facing financial applications company (Intuit). He received his PhD from the University of Wisconsin - Madison, where he specialized in large scale parallel database systems
Todd Blaschka |COO
Todd Blaschka is a veteran in the enterprise software industry. He is passionate about creating entirely new segments in data, analytics and AI, with the distinction of establishing graph analytics as a Gartner Top 10 Data & Analytics trend two years in a row. By fervently focusing on critical industry and customer challenges, the companies under Todd's leadership have delivered significant quantifiable results to the largest brands in the world through channel and solution sales approach. Prior to TigerGraph, Todd led go to market and customer experience functions at Clustrix (acquired by MariaDB), Dataguise and IBM.