Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

DevSecOps follows the same trend as Agile and DevOps: how can developers create software that’s better, faster, and less expensive? The DevSecOps motto — “software, safer, sooner” adds the missing piece to the latest approach to quicker product development. Security, previously an afterthought in the product development lifecycle, is now becoming an integral part of the process.

Cloud programs like Slack and Google Drive allow businesses to work collaboratively and efficiently, often at a low cost. However, these cloud platforms open a business up to new levels of risk: sharing information via cloud programs can put customer data at risk. Cloud security architecture provides a way to recognize and remedy vulnerabilities that result from using cloud service providers (CSPs).

Many organizations recognize the emergent need to discover, classify, and protect their sensitive information stored in cloud applications (SaaS) and infrastructure (IaaS) via a dedicated cloud content inspection process. However, cloud-native detection engines are a relatively new technology, and many corporate Information Security teams or Product Security developers are, understandably, not yet familiar with how to effectively evaluate cloud content detection.

EDRM sometimes referred to as Information Rights Management (IRM) is a core-data-centric technology that offers uninterrupted protection to unstructured data. It protects sensitive information/data everywhere by managing and enforcing access and usage rights to the information throughout its lifecycle, no matter where the information is distributed. EDRM controls how employees and partners use sensitive information.

In today’s world, data breaches are a fact of life for both consumers and companies. It’s become somewhat of a truism to point out that for many companies breaches are a matter of if not when as defenders are at a significant disadvantage.

While data security has been an important topic since the internet’s inception, the issue is experiencing renewed prominence as platforms collect and struggle to secure copious amounts of personal information and prevent cyberthreats at the same time. The early 2000s were characterized by unprecedented growth and participation in the digital data economy, but the 2010s saw the creeping consequences of this ecosystem.

Data loss refers to the unwanted removal of sensitive information either due to an information system error, or theft by cybercriminals. Data leaks are unauthorized exposures of sensitive information through vulnerabilities on the digital landscape. Data leaks are more complex to detect and remediate, they usually occur at the interface of critical systems, both internally and throughout the vendor network.

Many organizations are equipped to handle insider threat and external, common well-known challenges (like malware, for instance). These so-called “intentional” threats can be addressed through proactive security measures and best practices. But what about the unintentional risks that come with operating in a cloud-first environment? Unintentional mistakes, such as misconfiguring cloud infrastructure, can be equally devastating.

If your development team isn’t yet using shift-left testing, you could be wasting time, money, and energy. Teams that practice shift-left testing are able to identify potential roadblocks early in the process, change scope when needed, and improve design to avoid buggy code. When a bug does occur, it can be identified and dealt with quickly so as not to impact the project later on. Shift-left testing proposes to help agile teams become more agile.