IDC Names Securiti a Worldwide Leader in Data Privacy


State of data privacy and security

Published January 12, 2021 / Updated January 8, 2024

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Recently Rehan Jalil (CEO of Securiti) appeared on Metis podcast to discuss the state of data privacy and security.. In this podcast, Rehan shared his experience on how organizations tackle opportunities and risks due to data. A short excerpt from the podcast:

Challenges companies face due to data explosion

While data provides a huge opportunity for organizations to serve their customers in a more meaningful way, it requires organizations to implement and enforce data security and privacy practices to safeguard their customer, employee, vendor or partner information. There are five major challenges for organizations:

  1. Know where the sensitive data is present in on-premises & multicloud
  2. Discover if the data protected from external attacks
  3. Identify how the data is used and who has access to it
  4. Provide consumers rights to their data in a timely manner
  5. Assess third-party risk and security posture

Challenges in discovering sensitive data

In an organization certain data can be classified as “sensitive data”. In order to protect this sensitive data, organizations need to know where the data is held in their systems.

There are 3 major obstacles to discover data:

  1. The Diversity of the Systems
  2. The Massive Scale of Data
  3. The Attack Surface

Most common ways threat actors can breach data

Once the data has been identified, it needs to be protected. This includes both internal and external threats.

Most data breaches are caused due to unauthorized access. To reduce the risk of breaches,  organizations need to ensure that only employees who are authorized to access certain data actually do. In addition, monitoring data activities provides visibility into exfiltration attempts. Studies show that CISOs are more concerned about internal threats than external threats. Internal threats can easily bypass any security controls that may be set in place by the organization to prevent external and unauthorized users from accessing internal data and applications. Organizations that protect data from external threats only, can potentially increase the risk of insider attacks. Organizations need to secure data from an internal user’s perspective and the following framework can be used as a starting point:

  1. Data should be on a need to know basis and should have the right privileges
  2. Organizations should have automated access controls
  3. Access should be persona specific

Modern privacy regulations give consumers a right to their data. These rights are called Data Subject Rights (DSR) and include the right to access, delete, rectify, object processing, revoke consent and so on. DSRs are a requirement in most privacy regulations. To comply, organizations can use a data-driven & automated approach to DSR management

For more details, listen to this podcast: []

Frequently Asked Questions

Security and privacy of data refer to practices and measures aimed at protecting personal information from unauthorized access, disclosure, or alteration. The concept of data privacy revolves around the management and control of personal data, including the implementation of policies to ensure that the collection, sharing, and utilization of consumers' personal information fulfill the legal requirements. While data security is the implementation of security measures to prevent malicious attacks and unauthorized access of personal data.

Data privacy and security are important because they protect individuals' personal information, maintain trust, and ensure legal compliance. Failure to protect data can result in breaches, identity theft, reputational damage, and regulatory penalties.

An example of security and privacy measures is the use of strong encryption to protect sensitive communications and data from unauthorized access. This ensures that even if data is intercepted, it remains confidential and secure.

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