Here are 5 ways SASE improves security for remote and hybrid workforces:
Granular level visibility into network traffic
Because SASE combines network technology with security services into one product, businesses are able to use a single dashboard to see what’s happening on their network in terms of performance and security.
Gartner has defined this process as observability — the evolution of monitoring into a process that offers insight into digital business applications, speeds innovation, and enhances customer experience. Observability goes further than monitoring as it not only alerts you when a system isn’t working properly, but allows you to dig deeper into understanding why it isn’t working.
The unification of network and security with SASE makes it much easier for IT teams to gain granular visibility into their networks. You can closely monitor your network and security — and understand sooner if something is not working.
Remote-browser isolation (RBI) for Zero Trust Web Browsing
SASE makes it easy for IT teams to deploy RBI across organizations. Prior to RBI, IT teams had to configure allow-and-deny lists, and develop acceptable use policies (AUP) – time-intensive burdens that needed constant reconfiguration.
RBI allows for zero trust browsing because it assumes all websites could contain malicious code. RBI executes website code in a remote, isolated cloud-based container, sending only safe information to the browser on the users’ endpoint. That ensures what happens in an employee’s browser stays in the employee’s browser window — malicious attacks cannot infect the computer or spread to the network.
Automations via AIOps for a better bottom line
Imagine: you're faced with a network issue that needs immediate attention. Your IT team must:
- Identify the problem.
- Determine the cause of the problem.
- Hopefully, solve the problem without disrupting or affecting your business.
With SASE and automations from AIOps, many times you can take all three steps before the problem even occurs, without a need for your IT team response.
Now imagine: AI and ML systems preventing an outage so the customer experience isn’t affected. Here’s how it works:
- AI and ML systems are gathering and monitoring data on your network.
- These systems are analyzing the data to understand what’s happening.
- Based on what they are seeing from the data, they can automatically take action and respond to problems.
Now, your IT teams can detect and respond to problems faster — sometimes ahead of time — thanks to artificial intelligence being quicker than human brains.