Gopal Dommety: So Mitch, we started OpsMX with the vision to fully automate and secure software delivery.
Gopal Dommety: And so we provide a deployment firewall.
They tend to have large deployments, Fortune 10 kind of customers, that's what OpsMx.
Gopal Dommety: Deployment into, yeah, both cloud and private data centers.
That's really what we're focused on showing here today at KubeCon is this idea of how do we start to get really an end-to-end view of that application lifecycle from when the developer starts the code, when that code lines into production.
We're showing at our booth, Gopal mentioned the deployment firewall.
That's a new capability we just announced a couple of weeks ago that's designed to do automated compliance and policy enforcement as part of a software delivery process.
It's a last comprehensive gate that makes sure the code, the process, the people, the delivery and the deployment, all five of them have happened and we have tested.
Gopal Dommety: Yes, so you're right, there are lots of deployment targets.
We built in sort of the deployment firewall actually has come into being actually working with our customer that scale.
We might think of it as a byproduct, but I actually think some of the essential things is all the data we create in that process is what we can use for our audits and for compliance, whether it be security or our own internal processes so you're not writing documentation at the end, I've got the data I can present.
During the deployment we use AI ML to understand the behavioral characteristics of an application and understand if there are any security risks that are being sort of generated during the deployment.
David Greene: Well, there's also the piece, I think you're talking a little bit Gopal about the deployment process itself, the process of deploying machine learning models, it's fundamentally a deployment process.
Even though there's now data with the code, it's still fundamentally a delivery and deployment process production.
We didn't realize half the pipelines were machine learning models, and so we apply the security layer to that deployment.
It's a good point about we don't typically deliver a lot of data in our deployment pipelines.
That's a new dimension of delivery that has in the last two years has really taken off.
You said securing, automating software delivery, that's the new dimension, the models and the data associated with the models.
Once we have that delivery bill of materials in this application graph, you can do lots of interesting things, including some generative AI way to understand how things happen.
For people who want to try out this solution, we've got demo environments, trial environments they can do to kind of see for themselves how this sort of compliance and sandbox might work for themselves at deployment firewall.
This Cyber News was published on securityboulevard.com. Publication date: Tue, 19 Dec 2023 01:13:04 +0000