Cloud computing is ubiquitous — remote work, or hybrid teams, or what we call a complex multicloud environment, is the new normal. Companies are leveraging more apps, saving more data, and integrating more systems than ever before. All that convenience comes with a much greater risk, too- hackers have more ways to break in. And this is why AI cloud security is inevitable —the application of AI to identify risks, protect data, and strengthen security in constantly changing cloud environments.
Cloud security has more challenges given the fact that traditional security strategies can’t keep pace with the rapidly changing threat landscape and ownership of multiple SaaS (Software as a Service) cloud-based applications (even in a relatively small company). Sensitive data is now routinely stored unencrypted in the cloud. Analysts observing cloud environments often find blind spots that inherently plague many other types of traditional on-premise monitoring tools, too.
That’s where AI cloud security is an incredible benefit. AI is turning the tables, enabling organisations to detect anomalous behaviour more rapidly, anticipate and predict geographically random threats ahead of the threat execution, and extend their automated security protocol response.
AI technologies aggregate and analyse massively more data in real-time to increase visibility and response time. In today’s erratic and dynamic world, it should be understood that AI and cloud security can’t NOT co-exist; it’s now a NEED. Continuous improvement to keep teams’ systems protected and business-sensitive data safe.
