Five Ways that Data Visualization Strengthens Cybersecurity>
Novus Light – Emily Newton
The debate continues about whether NoOps — the idea that IT processes and infrastructure can be so completely automated that the IT operations team becomes unnecessary — is actually an achievable reality.
Cloud automation tools that lend themselves to a NoOps strategy can be broken into different categories. Let’s explore them one-by-one.
Cloud recommendation tools AWS offers Trusted Advisor, Microsoft Azure has Azure Advisor, and Google Cloud Platform (GCP) offers Google Cloud Recommender. These services automatically scan cloud environments and make suggestions about how to improve workloads. They can also apply the recommended changes automatically in most cases.
Cloud recommendation tools don’t totally achieve NoOps because someone has to review the recommendations and click the Apply button. NoOps and cloud autoscalers Businesses that use cloud services like virtual machines and managed containers can set up autoscalers to increase or decrease the size of their cloud infrastructure automatically. The alternative to autoscaling is to monitor and adjust cloud infrastructure manually — which is exactly the opposite of what you’d be doing if you were pursuing a NoOps strategy.
Code generation as a step toward NoOps Generative AI engines that can automatically write code, such as GitHub Copilot and Amazon CodeWhisperer, have garnered attention primarily for their potential to help automate software development.
But these tools could enable a NoOps strategy, too, by automatically writing the code that IT operations teams would otherwise need to produce by hand to perform various maintenance and management tasks. Automated cloud failover Google Cloud says it can perform automated health checks for workloads and reroute traffic to alternative endpoints in the event that one workload instance fails.
None of the tools or techniques described above enable true NoOps — perhaps because the idea of completely automating IT operations just isn’t realistic. But they do show that placing a NoOps strategy at the heart of cloud management is more practical than you might think. 1) Provide data clarification and organization Using cybersecurity data visualization to categorize and label information can also help develop security AI. Labeled data sets are often helpful for training machine learning algorithms, particularly supervised models.
2) Reveal new threats For example, a business could use a force-directed graph to reveal connections between different parts of its system. This could highlight high-traffic nodes and the relationships between those of high value. Cybersecurity data visualization can also be used to analyze security data from across the industry, country or world. This can help businesses stay ahead of potential emerging threats that other organizations are experiencing.
3) Improve employee understanding of cybersecurity It can be challenging to get employees on board with new security measures. This is particularly true when workers must utilize new technologies, such as a more complex login method.
Businesses can also use data visualization graphs and charts as informative posters and flyers in the office. Unlike text statistics, a picture is likelier to stick in employees’ minds even if they only see it for a few seconds.
4) Connect operations and results Displaying data in an organized visual format immediately clarifies trends, connections and outlying data points. Depending on the available data, security incidents could be displayed in stacked color-coordinated bars to show which departments experienced the most threats. This would allow the business to adjust the new measures to the specific needs of struggling areas.
5) Offer faster responses to security incidents The average time to respond to a cyberattack is 20) 9 hours, or two business days, from when the threat is detected. For example, a security team could plot their network’s login IP addresses on a bubble map. Ideally, the bubbles would be concentrated around main office locations or the IP addresses of known remote workers. Any outlier addresses could indicate suspicious activity from an outside actor.
Link: https://www.novuslight.com/five-ways-that-data-visualization-strengthens-cybersecurity_N12774.html