The security teams of many enterprises are burning-out because they are overburdened with multiple false positive security alerts to address.
False-positive security alerts in the threat intelligence tools will trouble the security operations (SecOps) team with unnecessary hustle. The report of Orange Cyber Defense titled “Security Navigator 2022” states that nearly 64% of the security alerts dealt by them in 2021 were just a ‘noise’ that did not represent any real threat. The stats increased by 5% more than the preceding year.
Security teams need to gauge false positive security notifications to save time and enhance the team’s efficiency in addressing the real threat. Here are a few ways for enterprises to identify the false positives and dismiss them.
Upgrade the cyber security tech stack
CISOs implement various cybersecurity solutions to strengthen their IT infrastructure against threats, risks, and vulnerabilities. It is an effective strategy, but they should also consider upgrading the tools consistently to ensure they are not contributing to the false-positive security alert challenge.
Few of the cybersecurity tools implemented might be interoperable, which leads to inefficiency in identifying and responding to cyber threats. Hence, the security teams should thoroughly evaluate before selecting and implementing the cybersecurity tools. Moreover, it is an effective security hygiene practice to maintain an inventory of the security solutions and replace the tools that have become obsolete.
Implement a robust AI tool for filtering
It is an intricate and time-consuming task for the CISO to manage the false positives. For every security alert, the security teams have to find the correlation between the attacks, create a timeline, and identify the weak links where the infrastructure was infiltrated and the consequences afterward, which is time-consuming.
Also Read: How 2021 Cyber security trends will impact 2022
The CISO should consider implementing robust AI-based security tools to remedy the situation. The AI-based cybersecurity solutions prioritize the severity of the threat, which helps the SecOps teams to filter out low-security alerts that may pinpoint compliance issues. Additionally, the AI tools analyze the danger at the next level by fragmenting the warning to gauge if it was a part of a broader attack and compile a list of alerts for the CISO to review.
Adopting AI-based cybersecurity tools will substantially minimize the task of security teams because the deep learning application of AI evolves its brain based on the data and make correct choices in real-time to identify the false positive security threats.
Make necessary alterations to the security alert threshold
There is a significant possibility that a false-positive security alert results from highly stringent or bottleneck alert thresholds. The CISO should consider revamping the rules that trigger the security alerts to minimize the number of false positives. For instance, one or two incorrect password entries shouldn’t be criteria for triggering a security alert. Still, multiple instances might indicate a start of a full-blown attack and hence should notify the CISO.
Evaluate the catch rate of the cybersecurity solution
Every cybersecurity solution is evaluated independently on its ability to identify the real threats and is measured by the ‘catch rate’ of the tool. Cybersecurity with a higher catch rate will be able to identify the real threats defined by the threat intelligence and reduce the chances of false-positive security alerts.
For more such updates follow us on Google News ITsecuritywire News. Please subscribe to our Newsletter for more updates.
