Ensure that your systems always run the latest updates and security patches. Keep checking how things are working by using audit reports, benchmarks, and test results to spot areas to improve. Consider automation where possible. Use smart threat detection tools that can spot problems as they happen. And every so often, check that your setup still follows Security Development Lifecycle (SDL) best practices.
Keeping your security strong takes ongoing effort. By learning from real-world attacks and test results, you can stay ahead of attackers who are always finding new ways to break in. Automating repetitive tasks also helps reduce human mistakes that could create risks.
SDL reviews bring clarity around security features. They also help you keep track of your workload’s assets and their security reports, which cover where they came from, how they’re used, and any weak spots they might have.
Contoso’s challenge
- The developers that write the Apache Spark jobs are hesitant to make changes. They don’t think that it’s necessary. But this means that the Python and R packages they bring into the solution are likely to get stale over time.
Applying the approach and outcomes
- After the workload team reviews internal processes, they realize that if they don’t keep the Apache Spark jobs up-to-date, they could end up with unpatched components in their system.
- The teams use a new standard for the Apache Spark jobs that all technologies in use must be updated, along with their regular update and patch schedules.
- This method helps close the security gap and lowers the risk of the entire workload running outdated software. Plus, their PaaS and SaaS services help limit their exposure to this risk because they don’t have to patch underlying infrastructure.
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