One Article Review
| Source |  AlienVault Blog |
|---|---|
| Identifiant | 1073280 |
| Date de publication | 2019-03-18 13:00:00 (vue: 2019-03-20 21:01:12) |
| Titre | All about security analytics |
| Texte |
With or without a security operations center, and whether your network is on premises, in the cloud, or a hybrid, you need to determine which events and indicators correlate with cyber attacks. Organizations these days face a wider range and greater frequency of cyber threats than ever before. These threats can be from APTs (advanced persistent threats), cyberwarfare, promiscuous attacks through bots and botnets, script kiddies, malware-as-a-service via the Dark Web, or even internal attacks from entities within your organization. Everything from distributed denial of service attacks (DDoS) to cryptojacking, from man-in-the-middle attacks to spear phishing, from ransomware to data breaches hit businesses of all sizes and in all industries constantly and every single day. It’s perfectly normal to find it all to be overwhelming!
But implementing the right tools and practices can help you make sense of all of the cacophony. That’s where cybersecurity analytics can be useful. Several years ago, security analytics became something of a buzzword, but it’s as relevant now as ever.
Cybersecurity data analytics explained
So what is it exactly? It’s actually quite simple.
Security analytics isn’t one particular type of tool or system. It is a way of thinking about cybersecurity proactively. It involves analyzing your network’s data from a multitude of sources in order to produce and maintain security measures. It’s all about aggregating data from every possible source and finding the “forests” that all of those “trees” of logs and other recorded details are a part of. Of course, being able to identify the “forests” can make it easier to not only put out “forest fires” of cyber attacks, but also prevent “forest fires” in the future.
Security analytics sources and tools
Here are some of the different types of data sources which can be used in your cybersecurity analytics practices:
Cloud resources
User data acquired from endpoints
Logs from network security appliances, such as firewalls, IPS, and IDS
Network traffic and its patterns
Identity and access management logs
Threat intelligence
Geolocation data
Mobile devices and storage mediums connected via WiFi, Ethernet, and USB
Antivirus applications
Business specific applications
There are some types of tools which your network can deploy which pertain to cybersecurity analytics. They include:
Code analysis applications to find vulnerabilities in software and scripting
File analysis tools to explore files in ways which may go beyond malware detection
Log analysis applications for firewalls, IDS, IPS, networked print devices, servers, and endpoints
SOC (security operations center) specific applications to organize data in a way which is useful for their functions
DLP (data loss prevention) tools
Security analytics use cases
Properly implemented cybersecurity analytics can not only improve your network’s security posture, but also help your organization with regulatory compliance needs. There are many industry-specific regulations which require log data collection and activity monitoring. HIPAA and PCI-DSS are just a couple of them.
It can even help show your organization’s stakeholders and management which security measures and policies are useful and worthy of investment.
Using an analytics approach and the right tools have the benefit of being able to |
| Notes | |
| Envoyé | Oui |
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| Tags | Ransomware Malware Tool Threat Guideline |
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