Simplified Compliance with Data Regulations
Companies around the world are facing two conflicting pressures: the need to collect and distribute more data across the enterprise and the need to implement more stringent privacy and security policies. Immuta’s unified access and control layer creates a single, intuitive place to manage all data. Governance personnel can author and apply complex policies on all of your data without having to write memos or code.
Common Data Governance Regulation Scenarios:
- Protect Data for Regulatory Compliance - GDPR, HIPAA, DOD/IC
- Prove Compliance with Audits, Reporting, and Remediation Actions
- Prevent Data Breaches with Data Sovereignty and Localization
Enforce policies from one place
With Immuta’s central policy layer, you can write and enforce policies from one place, regardless of where your data lives. Policies are enforced dynamically in real time as users are trying to access — or even work with — data.
Build rules in plain language
Immuta’s intuitive policy builder lets you author policies in plain language, without code. This means that all security stakeholders — not just system and database admins — can write policies consistently across any data.
No need to move or copy your data
How do you share data without moving it across borders and potentially violating data localization laws? Immuta’s read-only architecture lets your data stay wherever it is, represented virtually in Immuta, so you never have to move or copy it.
Apply differential privacy to any data
Apply differential privacy to any data source, injecting noise into queries to mathematically protect the privacy of individual records. Combine this with Immuta’s purpose-based access controls to satisfy the most stringent data privacy and governance regulations.
Immuta helped us scale, codify requirements and constraints that we need to adhere to, and put them into the systems so that they are now applied in a systematic way when anyone wants to access data.
Dave Abrahams Executive General Manager of Data, IAG
What are the main types of data security threats?
The main types of data security threats are phishing, which is a social engineering tactic in which attackers deceive users into providing sensitive information; ransomware, which is when malware infects devices and renders them inaccessible until a ransom is paid; insider threats, both malicious and non-malicious, in which an authorized member of the network exposes data; SQL injection, when attackers manipulate code to divert a query and provide database access; and distributed denial of service (DDoS), in which a website or app becomes unavailable due to an influx of traffic, making it vulnerable to unauthorized access while it is offline.
What are the most common regulatory compliance standards?
The common regulatory compliance standards include:
-The General Data Protection Regulation (GDPR), created by the European Union (EU) to protect its citizens privacy. The GDPR is one of the widest reaching regulatory compliance standards because it applies to any organization that leverages European citizens’ data or does business in the EU.
-The Health Insurance Portability and Accountability Act (HIPAA), a US-based regulation that mandates controls for protected health information (PHI). The HIPAA Privacy Rule requires a specific purpose for accessing PHI, and the Security Rule covers PHI storage and transmission.
-The Service Organization Controls (SOC 1 & SOC 2), which were created by the American Institute of Certified Public Accountants (AICPA) to provide audit reports and verification for an organization’s cybersecurity practices. SOC 1 concerns companies that process individuals’ financial data, and SOC 2 assesses companies’ data security in terms of accessibility, processing, confidentiality, integrity, and privacy.
-The International Standard Organization 27001(ISO 27001), which pertains to organizations’ information management and security systems, and how well equipped they are to protect business-related data about employees, financial status, and IP.
What is data localization?
Data localization refers to laws that mandate organizations to keep data within its region of origin. For example, if the data originated within Germany, it would be stored in servers within Germany rather than transferring it to the UK for processing and storage. The EU, China, and India all have data localization laws in place, and within the US, individual states are increasingly implementing such regulations.
What are best practices for adhering to data localization laws?
Data localization laws are constantly changing as jurisdictions continue to pass new regulations regarding data protection and storage. It is essential to work with governance, risk, and compliance (GRC) stakeholders to understand the different terminology of each data localization law and to have a flexible, scalable access control solution in place to accommodate the standards of each. Plain language policy authoring can help make access control easy to understand for non-technical stakeholders, which in turn accelerates approval workflows for implementation, as well as audit processes to prove compliance with data localization laws.
What is a DPIA under the GDPR?
A Data Protection Impact Assessment (DPIA) under the GDPR requires organizations to systematically analyze, identify, and minimize data protection risks. DPIAs fall within the GDPR’s protection by design principle, and are typically done when a new process or technology is added to the data environment.
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