Check Point® Software Technologies Ltd. has been recognized as a Leader in the 2024 Gartner® Magic Quadrant™ for Email Security Platforms (ESP).
DevSecOps brings together the best of DevOps with modern security practices. DevOps streamlines and accelerates the product development lifecycle, aiming to automate as much as possible. DevSecOps maintains this automation focus and incorporates security — with a goal of making each step secure and bringing in new tools and practices to make the entire product more secure as well.
With automation practices becoming more ingrained in software delivery processes, it is essential to integrate security. Leaving security as an afterthought could be very costly for a business and its customers. We've all read the headlines related to fines, reimbursement, and lost business that comes when a large company is compromised or breached.
Considering security separately from other DevOps processes can also lead to delays in the delivery of product features, because vulnerabilities must be assessed separately. These delays run counter to the goals and promises of most DevOps groups and organizations.
For example, if a large enterprise processes a large quantity of user data and stores that sensitive data on databases, it is critical to make sure early on that this kind of information can't be hacked. If hackers are able to take total system control and start to exploit the system's vulnerability by gaining access to the servers, this could lead not only to data loss but also to a large expenditure and fines.
That's why it is important to not only pay attention to product delivery automation and speed but also to add security to software updates, critical system vulnerabilities, and correct system access control, which DevSecOps practices assist with.
This 2-part blog will focus on some established and emerging ways that DevSecOps plays a role in product delivery organizations.
DevSecOps Business Value
Applying DevSecOps practices to product delivery has a positive impact on business in the following ways:
1. Ensuring the payoff of automation — by including security testing, it makes sure that vulnerability testing doesn't become a separate process that slows down feature delivery.
2. Avoiding System Compromise — utilizing all the tools in the DevSecOps handbook, makes an attack or compromise less likely. This limits the business' exposure and keeps customers happy.
3. Fast Reaction — when an incident does happen, having the appropriate monitoring in place helps to react quickly and address problems proactively, thereby reducing the risk of a catastrophic incident and helping prevent exposure of critical data.
DevSecOps can also assist with corporate compliance. If a company has sensitive data, it probably falls under some type of compliance structure. PCI-DSS, GDPR and HIPAA were all created to protect important data of various system users. PCI-DSS compliance, in the financial sector, ensures sensitive data security and system non-vulnerability for systems that need to store or use cardholder data. If the organization has non-compliant systems or code, it can be penalized, which can be quite financially painful and potentially lead to a loss of customers.
The General Data Protection Regulation (GDPR), a European privacy regulation issued in 2018, guarantees personal data protection. Before it, any internet resource could save personal data and organizations were not required to delete or manage this data. This could be true, even long after a user ceased using a system. Users also didn't have the right to request that their data be deleted.
Now, the GDPR obliges organizations, upon the user's request, to delete personal and other data from their storage systems. If the organization doesn't do this, it can be subject to substantial penalties. Applying DevSecOps practices can help organizations escape challenges with personal data security, which will ultimately help to decrease reputational and financial risks.
As DevSecOps practices are being implemented by enterprises of all sizes and industries. Baking security into every step of the delivery process is key for reducing costs in the long term and keeping happy, and safe, customers.
Go to DevSecOps Best Practices and Business Value - Part 2, providing DevSecOps best practices.
Industry News
Progress announced its partnership with the American Institute of CPAs (AICPA), the world’s largest member association representing the CPA profession.
Kurrent announced $12 million in funding, its rebrand from Event Store and the official launch of Kurrent Enterprise Edition, now commercially available.
Blitzy announced the launch of the Blitzy Platform, a category-defining agentic platform that accelerates software development for enterprises by autonomously batch building up to 80% of software applications.
Sonata Software launched IntellQA, a Harmoni.AI powered testing automation and acceleration platform designed to transform software delivery for global enterprises.
Sonar signed a definitive agreement to acquire Tidelift, a provider of software supply chain security solutions that help organizations manage the risk of open source software.
Kindo formally launched its channel partner program.
Red Hat announced the latest release of Red Hat Enterprise Linux AI (RHEL AI), Red Hat’s foundation model platform for more seamlessly developing, testing and running generative artificial intelligence (gen AI) models for enterprise applications.
Fastly announced the general availability of Fastly AI Accelerator.
Amazon Web Services (AWS) announced the launch and general availability of Amazon Q Developer plugins for Datadog and Wiz in the AWS Management Console.
vFunction released new capabilities that solve a major microservices headache for development teams – keeping documentation current as systems evolve – and make it simpler to manage and remediate tech debt.
Check Point® Software Technologies Ltd. announced that Infinity XDR/XPR achieved a 100% detection rate in the rigorous 2024 MITRE ATT&CK® Evaluations.
CyberArk announced the launch of FuzzyAI, an open-source framework that helps organizations identify and address AI model vulnerabilities, like guardrail bypassing and harmful output generation, in cloud-hosted and in-house AI models.
Grid Dynamics announced the launch of its developer portal.
LTIMindtree announced a strategic partnership with GitHub.