Security intelligence is a way to reduce the risk that takes into account both outside and inside threats, security, and business intelligence across an entire organization.
“Security intelligence” is defined as “the real-time gathering, standardization, and analysis of user, application, and infrastructure data that impacts an enterprise’s IT security and risk posture.” Security intelligence’s ultimate purpose is to lessen the burden of risk management and day-to-day operations on businesses of all sizes by providing them with accurate and thorough data.
Security Intelligence comprises two parts. First, collecting and integrating network system, server, application, user, access, activity, and transaction data in a powerful security data repository. Second, continuously analyzing and monitoring that data to detect harmful actions. Syslog, IAM tools, AD/LDAP, HR Databases, DLP, and SIEM systems should have out-of-the-box interfaces. Analytics should link each account to a user and offer behavioral profiles for each account, user, and peer group. Behavioral profiling isn’t enough. A robust security intelligence platform must resolve and monitor access entitlements to align resource access with roles and requirements to reduce insider risk, monitor data access at the file and database level to protect IP, and monitor application transactions to detect fraud, all while minimizing risk. A modern security intelligence platform may help with incident response and investigation, including drilling down into suspicious events.
The main reason is easy to see: security threats are getting more complex. Hackers use harmful software applications and hacking techniques from the next generation to get into a company’s data center. So, organizations should only use next-generation data threat detection technology to get better data risk management and lower the risk of big financial problems.
For instance, attackers use malware, send spear-phishing emails, and take advantage of security holes in mobile platforms. Second, first-generation threat intelligence solutions like SIEM don’t deal with a lot of the risks that businesses face. SIEM has become a popular tool for businesses to use to deal with complex data security risks that can’t be dealt with by traditional security measures. But first-generation SIEM techniques often lack the visibility and scalability needed to do a thorough threat detection evaluation, especially when it comes to attacks like AKA and other persistent threats. So, it takes these SIEM systems a long time to scan the whole company’s network and keep an eye on a lot of incoming threats.
Lastly, businesses need Security Intelligence solutions to deal with a lot of the complicated data security risks they face today. Businesses must make sure that the security systems for their networked data work well with the rest of their environment. If they use this method, they will get a big boost to their network security efforts and keep threats from getting in.
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Every company’s security intelligence journey is different since security intelligence can be used for a wide variety of security, threat, and risk initiatives. Here’s just one example of how a worldwide retailer used security intelligence to increase security workflow efficiency by 50%. Security intelligence may help you at any stage by providing a standardized method and structure for gathering and analyzing data as well as scoring, automating, integrating, and reporting it. This translates to improved visibility, operational efficiency, and alignment, which are consistent and important business outcomes in their own right.
