The cloud certainly offers its advantages, yet as with any large-scale deployment, the cloud can offer some unforeseen challenges. The concept of the cloud just being “someone else’s data center” has always been a cringe moment for me because this assumes release of security responsibility since ‘someone else will take care of it’.

On AWS, your workloads will be as secure as you make them. The Shared Responsibility Model in which AWS operates ensures the security of the cloud, but what’s in the cloud needs to be secured by the user. This means that as a DevSecOps professional, you need to be proactive about securing your workloads in the Amazon cloud. Achieving the optimal level of security in a multi-cloud environment requires centralized, automated solutions.

Today, we are announcing the general availability of our new module within our Global Intelligence Service with a benchmarking capability on AWS security by baselining the Amazon GuardDuty findings. If you are one of the 100,000 users of Sumo, go to your App catalog and install the Amazon GuardDuty benchmark app with one click and see your threats against the global threats that we gather from hundreds of Sumo customers.

With more business applications moving to the cloud, the ability to assess network behavior has changed from a primarily systems administration function to a daily security operations concern. And whilst sec-ops teams are already familiar with firewall and network device log tools, these can be of limited used in a “cloud first” business where much of the good traffic that occurs is hard to distinguish from potentially risky traffic.

The move to the cloud — in many ways — is a return to the early days of computing. When I took my first computer class in 1978, we used an IBM 360 system time share. We rented out time on a remote system — sent our jobs over a modem to a computer at a university — and got back the results of the program run. Today, we’re using the cloud, which is just a fancy version of the old time-share systems.

“Computers are bicycles for the mind,” said Steve Jobs once. Security Information and Event Management (SIEM) is biking uphill. Picture this: You cycle hard against the incline and ensure the bike holds up, all the while watching out for incoming traffic in blind turns. The worst part? The bike grinds to a halt when you stop pedaling. You simply can't coast on the steep hill of security operations.

The 2017 Deep Root Analytics incident that exposed the sensitive data of 198 million Americans, or almost all registered voters at the time, should remind us of the risks associated with storing information in the cloud. Perhaps the most alarming part is that this leak of 1.1 terabytes of personal data was avoidable. It was simple negligence.

As recently as 2017, security and compliance professionals at many of Tripwire’s large enterprise and government customers were talking about migration to the cloud as a possibility to be considered and cautiously explored in the coming years. Within a year, the tone had changed.

In this blogpost we will demonstrate how to build a complete GKE security stack for anomaly detection and to prevent container runtime security threats. We will integrate Falco runtime security engine with Google Cloud Functions and Pub/Sub.