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BankNext Case Study: JUnit Mockito Automation

DZone

Solution: JUnit-Mockito Automation GitHub Automation takes in the Class name and creates a legal working JUnits. The least priority is allotted to JUnits due to deadlines; hence gets skipped. Code quality suffers immensely, and technical debt piles up. These generated JUnits contain the necessary Mockito mocks.

Code 251
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How To Handle Secrets in Python

DZone

In some cases, leaked secrets can also lead to legal action. Secrets can be leaked in many ways, including through version control systems ( never hardcode any secrets in your code ), private messages, email, and other communication channels. If secrets are leaked, it can lead to a loss of trust, credibility, and even business.

Database 286
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Privacy spotlight: Retain data in Grail with 1-day precision, for up to 10 years

Dynatrace

Implementing clear data deletion policies is also closely linked with the legal requirement of personal data minimization. Deciding on the correct duration for retaining data is context-specific; it depends on the nature of the data, its intended use, legal requirements, and your evolving business needs.

Storage 172
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Responsible AI must-haves for unified observability and security

Dynatrace

There is an increased focus on trusted, responsible AI because when the following factors are overlooked, they can cause significant financial, business, and legal repercussions: The opacity of algorithms. This gives customers the ability to extend protections beyond the minimum legal requirements when it comes to protecting customer data.

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Stay in control of your data retention with Dynatrace Grail—from 10 days to 10 years

Dynatrace

Customer decisions about data retention are often determined by important security, privacy, and legal issues. This is the case when a company no longer has legal grounds to retain its customer data, as outlined in privacy protection regulations.

Analytics 221
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15 Best Practices on API Security for Developers

DZone

Developers must ensure that their APIs comply with these standards, such as GDPR, HIPAA, or PCI-DSS, to avoid legal and financial penalties. Financial losses : Security incidents can result in financial losses due to data theft, fraud, and legal fees. Organizations can also incur costs associated with remediation and recovery efforts.

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Privacy controls and barriers to session replay

Dynatrace

In addition to the legal risks inherent to corporations who gather and store user data in this way, it also poses privacy risks to the user. This will help to ensure it is legal under GDPR, HIPAA, and other applicable laws and regulations. Examples include the following. Medical data.

Analytics 200