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What Is Data Poisoning? [Examples & Prevention]
- Why is data poisoning becoming such a major concern?
- How does a data poisoning attack work?
- Where is data poisoning most likely to occur?
- What are the different types of data poisoning attacks?
- What is the difference between data poisoning and prompt injections?
- What are the potential consequences of data poisoning attacks?
- How to protect against data poisoning
- A brief history of data poisoning
- Data poisoning FAQs
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Top 12 Data Security Best Practices
- How to actually secure data in practice
- 1. Classify data by sensitivity, not just type
- 2. Enforce least privilege with contextual access control
- 3. Prevent unauthorized flows using information flow control
- 4. Secure data at rest using encryption and isolation
- 5. Protect data in transit with strong, authenticated protocols
- 6. Minimize data exposure in non-production environments
- 7. Limit data retention and enforce secure deletion
- 8. Harden systems to prevent indirect data compromise
- 9. Detect data misuse through audit trails and behavioral signals
- 10. Design for resilience through redundancy and verifiable integrity
- 11. Protect against inference and aggregation attacks
- 12. Integrate data security into system design from the start
- How to use frameworks to support data security best practices
- Data security best practices FAQs
- Data Loss Prevention – Protecting Your Sensitive Enterprise Data
- Why a Comprehensive Approach to Data Security is Better than a Partial One?
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What Is Data Security Management? How to Manage Data Security
- Why is data security management important?
- What is the CIA Triad's role in data security management?
- What tools, controls, and technologies support data security management?
- How to manage data security across the full data lifecycle
- How to implement data security management step-by-step
- What frameworks guide data security management?
- Who owns data security management in an organization?
- Top 5 common data security management pitfalls
- Comparing data security management, information security management, and cybersecurity management
- Data security management FAQs
What Is a Hybrid Data Center?
For decades, traditional data centers have been the most predictable and controlled infrastructure to house high-risk and proprietary assets, such as personal information, medical records and financial information.
Today’s modern applications however need to be able to move based on business requirements, across on-premises data centers, private and public clouds anywhere around the globe. These highly distributed applications need to grow, shrink and be moved, rewritten and redeployed according to business needs.
To support this level of application elasticity and mobility enterprises are turning to a hybrid data center architecture. A hybrid data center utilizes technologies such as virtualization, cloud and software-defined networking to deliver application workloads everywhere across physical data centers and multi-cloud environments.
The modern, hybrid data center enables greater IT efficiency, automation, and agility, supporting the delivery of new application workloads across dynamic network fabric and virtual machine infrastructure. Use of a hybrid data center is an evolution strategy that allows organizations to create the right mix of cloud and traditional IT to suit their needs.
There Are Options
Given the various “flavors” of hybrid data centers, you need to evaluate the combination of on-premises, private and public cloud that allows your applications and services to be spun up the most quickly, securely and efficiently.
Workload Locations
On-premises data center – a physical deployment on an organization’s premises that houses its computing and networking equipment.
Private cloud – a hosted compute, server and infrastructure service owned and managed by a third-party service provider or organization.
Public cloud – compute, server and application services from a cloud provider.
Hybrid data center – organizations can deploy a "lift and shift" approach where application workloads move across servers and network infrastructure located within physical data centers and across multi-cloud environments (private, public and hybrid clouds).
Considerations
Data centers that span multi-cloud environments offer a larger attack surface, which can translate to increased complexity in networking and cybersecurity. It is critical to maintain full visibility and precise control of your data center regardless of the architecture. It is also important to implement a best practice methodology and adopt an approach to data center security that is independent of the individual environments you’re utilizing.
A hybrid data center architecture allows your organization to extend data centers into cloud services. This evolution of the data center enables flexible scaling for network, storage and compute demand surges. Hybrid data centers offer the best of both worlds: security, performance and reliability with agility, scalability and cost savings across on-premises data centers as well as multiple public, private and hybrid clouds.
With the hybrid cloud market set to be worth US$1 trillion by 2020, hybrid data centers are poised to play a vital role in the storage, management and computation of data, applications and information in the near future.
