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Redefining AIOps IT Workflows with Legacy System Visibility

Precisely

Key Takeaways: Centralized visibility of data is key. Modern IT environments require comprehensive data for successful AIOps, that includes incorporating data from legacy systems like IBM i and IBM Z into ITOps platforms. Tool overload can lead to inefficiencies and data silos. Legacy systems operate in isolation.

Systems 59
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Aligning Data Security With Business Productivity To Deploy Analytics Safely And At Speed

Data Engineering Podcast

In this episode Yoav Cohen from Satori shares his experiences as a practitioner in the space of data security and how to align with the needs of engineers and business users. He also explains why data security is distinct from application security and some methods for reducing the challenge of working across different data systems.

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Predictions 2025: AI As Cybersecurity Tool and Target

Snowflake

SIEMs are also better suited to AI solutions, and for all those reasons we expect the security data lake to ultimately replace the SIEM. Understanding AI as an attack vector Last year, we published an AI security framework that identifies 20 attack vectors against large language models and generative AI systems.

Data Lake 105
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Cloud Native Data Security As Code With Cyral

Data Engineering Podcast

Summary One of the most challenging aspects of building a data platform has nothing to do with pipelines and transformations. If you are putting your workflows into production, then you need to consider how you are going to implement data security, including access controls and auditing. When is Cyral the wrong choice?

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Ransomware Attacks: 3 Keys to Resilience for Your IBM i Systems

Precisely

Key Takeaways: In the face of ransomware attacks, a resilience strategy for IBM i systems must include measures for prevention, detection, and recovery. Built-in security features and enterprise-wide security operations help create a robust defense against ransomware. What is Operational Resilience, and Why Does it Matter?

Systems 59
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Snowflake Announces State-of-the-Art AI to Talk to your Data, Securely Customize LLMs and Streamline Model Operations

Snowflake

These opportunities also come with challenges for data and AI teams, who must prioritize data security and privacy while rapidly deploying new use cases across the organization.

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Recognizing Organizations Leading the Way in Data Security & Governance

Cloudera

Judges were looking at how organizations tackled modeling & reduced business risk, prevented fraud, met regulatory compliance, established fully governed data marketplaces, and more. . This year, after careful consideration, two organizations stood out as leaders in data security and governance policies: Bank of the West and Telkomsel. .