Chief Scientist Emeritus Fabian Yamaguchi and foundational Code Property Graph technology recognized with IEEE Test of Time Award

Meta Platforms, formerly Facebook, was recently hit with a massive €1.2 billion fine for violating General Data Protection Regulation (GDPR) requirements. The unprecedented punitive measure comes as Meta is found guilty of transferring and storing personal data of European Union users in the United States. This event underscores the criticality of secure code and the indispensable role of automating code security and compliance for organizations to dodge such colossal pitfalls.

Violate GDPR at Your Own Peril

As detailed in a report by ArsTechnica, this landmark ruling is grounded in the violation of privacy rights enshrined in the GDPR. This regulation, implemented in 2018, guarantees EU citizens the right to control how their personal data is handled. Organizations breaching these regulations face the prospect of harsh penalties, including significant fines.

The GDPR violation by Meta underscores an alarming reality: no company, regardless of its size or reach, is above these regulations. It sends out a strong message to organizations about the imperative of adopting effective measures for data protection, which includes secure code. Securing code shouldn’t just be limited to preventing vulnerabilities, it also includes aspects like data privacy and data protection, reducing the risk of breaches and data misuse.

Automating Code Security and Compliance

It’s possible to implement policies and processes to drive more secure code, but the reality today is that the volume of code and the dynamic nature of the tech landscape makes it all but impossible to effectively maintain through manual efforts. Automation in code security and compliance is the best way forward. 

Qwiet AI’s preZero platform exemplifies the concept of embedding security into the DNA of software development. Embedding security checks within the software development lifecycle ensures that security is not an afterthought. This approach also ensures that regulatory requirements, such as GDPR, are built into the software code from the start.

In the rapidly evolving landscape of data privacy and protection, human error remains a persistent issue. Hence, the need for automation in code security and compliance cannot be overstated. By embedding these checks into the development process, organizations can significantly reduce the risk of violations. Compliance with regulatory requirements becomes a default attribute rather than a daunting afterthought.

Establishing Trust and Integrity

Beyond the obvious benefits of mitigating fines and legal repercussions, automated code security and compliance enhance the trust of customers and stakeholders. It becomes a competitive advantage in a world increasingly concerned about data privacy and the ethical use of personal information.

Despite its dominance, Meta has not been invincible against regulatory scrutiny. In an article by CNBC, Meta’s record fine was described as a wake-up call for organizations to ensure that personal data is treated with the gravity it deserves.

In the aftermath of this fine, Meta is left with a substantial financial penalty and a potential dent in user trust. For other organizations, this event should serve as a stark reminder of the importance of secure code and automated compliance checks.

The digital age, with its constant evolution, commands businesses to be vigilant in their data protection efforts. By integrating automated security and compliance checks into their software development processes, organizations can protect their operations from legal repercussions and—more importantly—maintain the trust of their customers and stakeholders.

About Qwiet AI

Qwiet AI empowers developers and AppSec teams to dramatically reduce risk by quickly finding and fixing the vulnerabilities most likely to reach their applications and ignoring reported vulnerabilities that pose little risk. Industry-leading accuracy allows developers to focus on security fixes that matter and improve code velocity while enabling AppSec engineers to shift security left.

A unified code security platform, Qwiet AI scans for attack context across custom code, APIs, OSS, containers, internal microservices, and first-party business logic by combining results of the company’s and Intelligent Software Composition Analysis (SCA). Using its unique graph database that combines code attributes and analyzes actual attack paths based on real application architecture, Qwiet AI then provides detailed guidance on risk remediation within existing development workflows and tooling. Teams that use Qwiet AI ship more secure code, faster. Backed by SYN Ventures, Bain Capital Ventures, Blackstone, Mayfield, Thomvest Ventures, and SineWave Ventures, Qwiet AI is based in Santa Clara, California. For information, visit: https://qwiet.ai

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