There's a common misconception that the AI label automatically makes a cybersecurity solution better when that's far from the truth. Organizations don't need AI or ML tools to improve cybersecurity.
The cyberattack on Colonial Pipeline was a big lesson. It is imperative that critical infrastructure companies uplevel their protection against modern security risks by using modern techniques and automation to comply with new cybersecurity regulations.
In the last few years Apple and other browsers have essentially demanded that all certificate authorities gradually reduce the lifecycle of digital certificates. To be able to replace tens of, or even hundreds of thousands, of certificates in a compressed time frame, on a regular basis, is going to be nearly impossible without automation solutions.
Security automation is increasingly becoming a necessity in order to keep up with the cyber threats, but security analysts report significant increased stress on the job driven by fear of missing alerts.
Even though organizations are expecting security automation to reduce their cybersecurity workforce, it also helps them to focus on overall network security and the most serious vulnerabilities.
By going beyond today’s version of “zero-touch” network security automation, enterprises gain real-time visibility and adaptive control over their network security operations, ultimately advancing business innovation and financial growth.
Given the dearth of cybersecurity pros in the marketplace today, a new Juniper Networks report suggests that security automation is potentially the solution.
Given a shortage of skilled cyber security manpower, one of the most attractive alternatives may be cyber security automation. In a new report from McAfee, 81% of those surveyed said they would be more successful in their jobs and have more time to focus on higher value-added tasks if they had greater automation.
