Hey, H-E-B!
We know how important the cloud is to your business.
"H-E-B, like many enterprises, is moving away from legacy mainframes in favor of microservices and public cloud infrastructure. With hundreds of applications powering our 100+ year-old business, we need to be confident that the platform we are building will provide the agility and security to continue to innovate for our customers."
H-E-B Platform Engineering Team at Google Cloud Next, July, 2020
"H-E-B, like many enterprises, is moving away from legacy mainframes in favor of microservices and public cloud infrastructure. With hundreds of applications powering our 100+ year-old business, we need to be confident that the platform we are building will provide the agility and security to continue to innovate for our customers."
H-E-B Platform Engineering Team at Google Cloud Next, July, 2020
And we know your security teams need the right tool to secure your cloud data.
Establish baseline visibility
Security teams need to be able to quickly and automatically inventory data stores, classify data at petabyte-scale, pinpoint sensitive data, and identify risk including toxic shadow data, left-behind services, dangerous 3rd party network connections, and unwanted data sharing relationships.
Identify and remediate high risk conditions
90% of breaches are due to human errors that can be readily detected and fixed. Security teams need the data context that pinpoints the areas of maximum risk so they can remediate he conditions that lead to data leaks and breaches and avoid a time-consuming and expensive security incidents.
Eliminate unnecessary costs and risks
Between 60% and 90% of cloud data is "dark" - data that is never touched, used or perhaps even seen. Security teams can reduce costs and risks by eliminating unnecessary data and services.
But do you know what the end-to-end journey looks like?
Customer Success at Open Raven
"I look forward to partnering with you and delivering value on your data security journey."
Latimer Luis, Director of Customer Success
Getting started with Open Raven is straightforward and typically follows a phased approach
Onboarding
It takes minutes to set up Open Raven and begin mapping and discovering data.
- Connect cloud accounts
- Initial discovery of assets
- Complete onboarding questionnaire
- Enable policies
- Set up custom rules and data classes
- Asset group and scan creation training
Scanning
- Develop scan methodology
- Create custom asset groups
- Initiate data scanning
- Monitor results and workload impact
- Cost analysis
- Train on data catalog
"
The initial implementation was fast and effective. We quickly got our data scanned at scale."
Gary Miller, DVP Information Security, TaskUs
Tuning
- Review data findings
- Identify and flag false positives
- Adjust custom dataclasses
- Export data catalog
- Alert training and creation
- Enable data policies
"
The ah-ha moment was the the visibility into where sensitive data is stored, not just what is stored."
Henric Andersson, CISO, Deserve
Triaging
- Review alerts
- Risk assessment and prioritization
- Close or ignore violations
- Adjust custom rules
- Tag assets
- Export violations
- Setup integrations
Operationalizing
- Develop and execute recurring scans
- End-to-end workflow design
- Cost analysis
- Coverage reporting
- Implement RBAC
- Add new users and consumers of Open Raven data
"
Before Open Raven, identifying the locations and types of sensitive and financial data required significant time and entirely too much JSON. With Open Raven, I have automated visibility and control and can better scale my resources. I can’t get this anywhere else, not as quickly nor as affordably.
Sean Darragh, CISO, Apiture
