Cyber threats are overgrowing in quantity, and managing security becomes a critical issue as infrastructures get evermore involved.
Alerts, warnings and logs on incidents are coming from many different formats and systems. Most of the time, it's essential that the right information is delivered to the right person so they can make the right decision to prevent a security breach and cyber threats.
Security information event management (SIEM) software has become widely adopted in enterprise networks, where cyber-security teams need to check on thousands of threat indicators and act on that. It helps to collect, and aggregates log data generated throughout the organisation's antivirus filters, technology infrastructure and security devices such as firewalls host systems and analyse these large quantities of data to take further action.
What is Microsoft Azure Sentinel?
Microsoft Azure Sentinel is a cloud-native, scalable, Security information event management (SIEM) and Security orchestration automated response (SOAR) solution which provides integrated security management enhanced by artificial intelligence.
It is one of the first of a new class of cloud-native SIEMs that use AI and machine learning at scale to monitor billions of data continuously is essential cloud services.
It uses scalable ML algorithms to correlate millions of low fidelity anomalies to present a few high-fidelity security incidents to the analyst that traditional SIEMs might miss. It can quickly help to get value from large amounts of security data that are ingesting and connecting the dots. For example, We can quickly see a compromised account that used to deploy ransomware in a cloud application.
Image source - https://docs.microsoft.com/en-us/azure/sentinel/overview
Why use Azure Sentinel for your business?
Maintaining and handling the infrastructure is quite expensive, time-consuming and most of the enterprise's SIEM put their efforts and time in it. There is a noise of alerts and identifying suspicious activities to become challenging for your cyber-security team.
See how Azure Sentinel is useful for your business -
- Cloud-native SIEM - a cost-effective, flexible, seamless integration and limitless scalable
- Azure Sentinel is purely cloud-native software-as-a-service, it's flexible and requires effortless infrastructure setup.
- There won't be any storage restrictions as it has incredible scalable capabilities with low maintenance, and you only pay for the resources you use so there is no need to build and maintain any infrastructure and pay the significant upfront cost.
- Cyber-security teams can focus 100% on threats and protecting business because there's no infrastructure to maintain, upgrade or patch. It is easy to use as working across on-premises, and in-cloud infrastructure.
- It integrates a wide range of tools and systems, helping to improve both the efficiency and effectiveness of your operations team.
- Built-in AI - next-generation security operations with cloud and AI
- The main feature of Azure Sentinel is the use of AI and machine learning models to analyse and Investigate serious threats quickly and solve them intelligently that traditional SIEMs might miss.
- It learns from the daily logs to analysis and tracks security breaches, and It can detect previously undetected threats.
- Machine learning and AI helps to cut through the noise of alerts and identify suspicious activities and save a reasonable amount of time and resources of your organisation so your Cyber-security teams can focus on the essential signals and take action.
- Connect and collect - data across your organisation easily from a different source
- It can connect and collect log information from different sources, including applications, servers, users, and devices running on-premises or in multiple cloud systems.
- It can also connect with data from your Microsoft products like Office 365 in just a few clicks for free and analyse the data.
- Faster incidents response - with built-in intelligent orchestration and automated response
- It can automate response using built-in intelligent orchestration and keep your organisation secure with seamless system integration.
- Due to automatic detection and responses to the threats feature, it is highly favourable among other tools.
- It saves time managing siloed infrastructure components, as it orchestrates and automates incident responses from a single platform.
Know more on how to onboard your data to Azure Sentinel, and get visibility into your data, and potential threats.
Microsoft is thinking a lot about how to protect machine learning systems. They're key to its future -- from tools being built into Office, to its Azure cloud-scale services, and managing its own and your networks, even delivering security services through ML-powered tools like Azure Sentinel. With so much investment riding on its machine-learning services, it's no wonder that many of Microsoft's presentations at the RSA security conference focused on understanding the security issues with ML and on how to protect machine-learning systems.