Remove privacy-policy
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What the SEC cybersecurity disclosure mandate means for application security

Dynatrace

This blog provides explains the SEC disclosure and what it means for application security, best practices, and how your organization can prepare for the new requirements. For instance, the FTC has been increasingly active in pursuing penalties for data security and privacy practices. Regulatory risks are also increasing.

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Deploying AI powered software intelligence in environments with technical or regulatory constraints

Dynatrace

As you probably know, Dynatrace is the leading Software Intelligence Platform, focused on web-scale cloud monitoring. The Dynatrace SaaS environment already maintains best-in-class data security and privacy standards. But what if your agency’s policies don’t allow for an external connection? Dynatrace Managed.

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Building a responsible data capture policy

Dynatrace

The addition of the Digital Business Analytics module to the Dynatrace Software Intelligence Platform gives you a new way to understand the impact that application errors, performance and user behavior have on your business. Once you know who should have this power, you can ensure that they receive appropriate privacy training.

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Pre-Deployment Policy Compliance

Abhishek Tiwari

In the fast-paced world of software development, the ability to deploy applications quickly and efficiently is crucial for organizations. However, amidst the drive for speed, ensuring policy compliance is often overlooked, leading to potential security vulnerabilities and compliance risks.

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Is Testsigma secure for your organization?

Testsigma

SaaS (software as a service) which is one of the most popular forms of cloud computing has completely revolutionized the world of cloud computing as it is being adopted by a majority of the IT organizations to modernize their IT structure. But one question which still haunts most of the big software enterprises is: Is SaaS Really Safe?

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Backup and Recovery for Databases: What You Should Know

Percona

Data stewardship also means protecting people’s privacy, safeguarding against breaches, and adhering to regulations and standards such as the European Union’s General Data Protection Regulation (GDPR), the United States’ Sarbanes-Oxley Act (SOX), and the Payment Card Industry Data Security Standard (PCI DSS).

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Cloudy with a high chance of DBMS: a 10-year prediction for enterprise-grade ML

The Morning Paper

When it comes to leveraging ML in enterprise applications, especially in regulated environments, the level of scrutiny for data handling, model fairness, user privacy, and debuggability will be substantially higher than in the first wave of ML applications. The key insight this led to is that ML models are software , derived from data.