Azure Compliance Development Team Review Organization 
Prisma Clud
JUNE 11, 2024
In today’s climate, with cyberthreats constantly evolving, organizations must prioritize the security of their IT infrastructure. Adhering to these benchmarks, referred to as CIS compliance, is central to protecting cloud environments.
Prisma Clud
OCTOBER 24, 2023
Speed and agility in application development often take precedence over security. These shadow assets compromise cloud security, exposing organizations to a myriad of risks. Rogue Cloud Sprawl Leaves Security Blind Spots The cloud's inherent flexibility and scalability offer organizations a solid tech foundation for innovation.
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Lacework
MAY 5, 2022
The 1990s also saw the rise of firewalls and antivirus programs, as organizations (and individuals) began storing and sharing more personal information online. Compliance issues — When sensitive data is stored in the cloud, it becomes subject to more data protection regulations. Use Multi-Factor Authentication.
Gorilla Logic
MAY 19, 2021
It turns out that access to talented developers may be one of the most challenging pieces of the puzzle. . KPMG reports that 67 percent of tech leaders struggle to find the right tech talent, and 22 percent of organizations surveyed by Coding Sans ranked increasing development capacity as their top challenge. Let’s talk.
Tenable
AUGUST 5, 2022
That’s the bad news the Cybersecurity and Infrastructure Security Agency’s Cyber Safety Review Board delivered in a recent report. Drive best practices for security hygiene, such as automated vulnerability management, asset inventorying and vulnerability mitigation, as well as secure software development practices.
Planbox
JULY 16, 2018
Data encryption in transit and at rest Encrypted full backup every 24 hours Full data privacy and GDPR protection Multi-layered security approach Daily vulnerability scans and regular penetration tests Enterprise, social and native Identity Management Compliance with industry standards and regulations SAML 2.0 Organizational Security.
DataRobot
JULY 21, 2022
Machine learning and AI empower organizations to analyze data, discover insights, and drive decision making from troves of data. More organizations are investing in machine learning than ever before. With only 87% of projects never making it to production, success hinges on diligent planning. Planning Machine Learning Projects.
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