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Tag: data security

Seclore Risk Insights Dashboard: Keeping Banks Compliant with RBI Guidelines

Shikhar Jain

Banks face challenges in complying with regulations. The Seclore Risk Insights Dashboard helps banks adhere to RBI guidelines through advanced monitoring and reporting. This technology allows for better data access and usage tracking, which is essential for security and regulatory compliance. The Seclore Dashboard offers a comprehensive view and analytics for data management, enabling swift response to threats and facilitating compliance, significantly enhancing security, and simplifying compliance processes for banks.

Read More →

Mastering RBI Compliance for Financial Services

Deepti Dani

The Reserve Bank of India (RBI) regulations address increasing concerns about outsourcing’s impact on compliance and security in banking and financial services. These regulations include the outsourced IT that banks rely on to ensure accountability, risk management, and compliance. This article addresses the challenges that Indian banks face due to their reliance on paper contracts and NDAs and outlines essential RBI compliance requirements, including IT governance, data protection, vendor management, incident response, and disaster recovery.

Read More →

Protect Your Sensitive Data Before Adopting Copilot for Microsoft 365

Jeff Spencer

Adopting Copilot for Microsoft 365 may sound great in theory, but there are some hidden security risks. While Microsoft has done a great job keeping security in mind, data and information security teams need to be aware that Copilot essentially has the keys to the castle — it can pull sensitive or proprietary information from any file a user has access to. This presents a security risk for most organizations, where it’s likely that users have overly broad access.

Read More →

Securing Data Beyond the Perimeter: Why DLPs and Firewalls Aren’t Enough Anymore

Scott Kelley

In today’s technology landscape, traditional perimeter security measures such as firewalls and DLP systems are no longer sufficient to protect sensitive data. A more effective approach is data-centric security, which includes four fundamental principles: data classification and labeling, access control at the data level, data encryption, and continuous data monitoring and auditing. By adopting this proactive approach, organizations can meet compliance regulations, prevent insider threats, and secure data in cloud and mobile environments while safeguarding sensitive data from a wide range of cyber threats. Read more to learn more about this approach.

Read More →

Generative AI and Data Security: Navigating a Complex Landscape

Nilesh Bhojani

While Generative AI (GenAI) has immense potential to streamline operations, it also poses significant risks, particularly in the realm of data security. Read this blog to learn about the three common scenarios where data security breaches can occur using GenAI. It emphasizes the need for organizations to increase risk awareness, implement stricter security measures, and enforce the responsible use of powerful GenAI tools.

Read More →

Navigating the Future: Data Security Predictions for 2024

Vishal Gupta

Read this blog for insights into the future of data security. The author foresees a shift in cybersecurity priorities from device and perimeter protection to data security and discusses the potential challenges that artificial intelligence (AI) could pose to cybersecurity. The post also emphasizes the importance of improved security standards to comply with upcoming regulations and the need for zero-trust cybersecurity in the supply chain.

Read More →

Seclore Risk Insights Dashboard: Keeping Banks Compliant with RBI Guidelines

Shikhar Jain Aug 7, 2024

Banks face challenges in complying with regulations. The Seclore Risk Insights Dashboard helps banks adhere to RBI guidelines through advanced monitoring and reporting. This technology allows for better data access and usage tracking, which is essential for security and regulatory compliance. The Seclore Dashboard offers a comprehensive view and analytics for data management, enabling swift response to threats and facilitating compliance, significantly enhancing security, and simplifying compliance processes for banks.

Read More →

Mastering RBI Compliance for Financial Services

Deepti Dani Jul 25, 2024

The Reserve Bank of India (RBI) regulations address increasing concerns about outsourcing’s impact on compliance and security in banking and financial services. These regulations include the outsourced IT that banks rely on to ensure accountability, risk management, and compliance. This article addresses the challenges that Indian banks face due to their reliance on paper contracts and NDAs and outlines essential RBI compliance requirements, including IT governance, data protection, vendor management, incident response, and disaster recovery.

Read More →

Protect Your Sensitive Data Before Adopting Copilot for Microsoft 365

Jeff Spencer Jun 20, 2024

Adopting Copilot for Microsoft 365 may sound great in theory, but there are some hidden security risks. While Microsoft has done a great job keeping security in mind, data and information security teams need to be aware that Copilot essentially has the keys to the castle — it can pull sensitive or proprietary information from any file a user has access to. This presents a security risk for most organizations, where it’s likely that users have overly broad access.

Read More →

Securing Data Beyond the Perimeter: Why DLPs and Firewalls Aren’t Enough Anymore

Scott Kelley Feb 15, 2024

In today’s technology landscape, traditional perimeter security measures such as firewalls and DLP systems are no longer sufficient to protect sensitive data. A more effective approach is data-centric security, which includes four fundamental principles: data classification and labeling, access control at the data level, data encryption, and continuous data monitoring and auditing. By adopting this proactive approach, organizations can meet compliance regulations, prevent insider threats, and secure data in cloud and mobile environments while safeguarding sensitive data from a wide range of cyber threats. Read more to learn more about this approach.

Read More →

Generative AI and Data Security: Navigating a Complex Landscape

Nilesh Bhojani Feb 5, 2024

While Generative AI (GenAI) has immense potential to streamline operations, it also poses significant risks, particularly in the realm of data security. Read this blog to learn about the three common scenarios where data security breaches can occur using GenAI. It emphasizes the need for organizations to increase risk awareness, implement stricter security measures, and enforce the responsible use of powerful GenAI tools.

Read More →

Navigating the Future: Data Security Predictions for 2024

Vishal Gupta Jan 22, 2024

Read this blog for insights into the future of data security. The author foresees a shift in cybersecurity priorities from device and perimeter protection to data security and discusses the potential challenges that artificial intelligence (AI) could pose to cybersecurity. The post also emphasizes the importance of improved security standards to comply with upcoming regulations and the need for zero-trust cybersecurity in the supply chain.

Read More →