Learn About California's AB 1008 And How It Could Impact Your Business

Discover Everything You Need To Know About The EU-US DPF

Learn About Data Re-Identification And What It Means For Your Business

Maximise Data Utility By Learning About Your Data Supply Chain

Learn About Data Minimisation For AI And Compliance

Learn Everything You Need To Know About Data Privacy Compliance

Learn About Privacy Policies And Why They Matter

Learn The Basics of Data Anonymization In This Short Guide

Learn More About Data Pseudonymisation In Our Short Guide

Learn About Privacy Impact Assessments (PIAs) And Why You Need Them

Learn About The Different Types Of PII And Their Risks

A Step By Step Guide to Conducting Data Privacy Compliance Audits

Discover Our Best Practice Recommendations For Managing DSARs

Learn How To Conduct a Privacy Impact Assessment

Read Our Complete Guide To Data Privacy

Discover The Cost And Data Risks Of Free Tax Preparation Services

Discover Why Static Code Analysis Supports Data Privacy

Learn About The Invisible Data Sharing Ecosystem And How We Can Fix It

Learn What Privacy Threat Modelling Is And How to Implement It

Discover How To Unlock The Power Of Data Sharing While Protecting Privacy

Discover How Data Privacy Drives Growth

A Summary Of Data Privacy Laws in 2024

Open Banking provides a host of benefits for consumers but comes with significant data privacy challenges. Learn more.

What does an IT compliance audit produce, how often should you conduct one, and how to do an IT compliance audit? We have the answers.

Learn the steps for audit compliance and the key action items you need to take for data privacy and security. ZenData can help.

Read our guide on IT compliance audits and data privacy audits. Learn the key areas of focus to help protect your data and reputation and remain compliant.

Discover 5 Steps to Enhance Data Privacy In Your Customer-Facing Applications And Learn How Zendata Can Help You Achieve This

In our years of operating, we have dedicated our expertise to helping users understand how companies use cookies, trackers, and other forms of technologies to collect their data. We can use this expertise and knowledge to help you as a business owner avoid data privacy mistakes.

Discover The Differences Between Data Privacy & Data Protection And How They Work Together To Protect Customer Data. Learn More.

The pandemic made us all a hermit, and our disposition as customers and businesses toward privacy changed. To adjust, we must reduce the volume of information we share with companies. Businesses alike must collect and use customer data transparently. Government, too, should use its citizens' data fairly.

Implementing data privacy processes can be a challenge for many companies. Come with us to find the best practices for a smooth data privacy process!

Small businesses face big challenges when it comes to protecting their client’s and their own data. Find how to face those challenges!

If you are using a website logged in, say google.com. All your activity on google (and beyond with things like cookies, trackers, fingerprinting, browser type - but that’s for another article) are logged and used for personalization. This could potentially pose a risk to your privacy. The great thing is most major platforms nowadays offer individuals a way to opt-out of this logging.

Since the enactment of abortion restrictions in Texas there have been instances of location data for visits to planned parenthood being sold by data brokers surfaced. This is a serious threat to individual privacy and goes beyond states with restrictive abortion rights.

In the wake of our loss of the constitutional right to abortion, there has been an overwhelming loss of trust in government protection of individual privacy. Our country is at a critical moment of defining to what extent privacy exists and how the government uses data to expand – or restrict – citizens’ rights.

Data privacy requirements by privacy laws cannot be revoked or trivialized. Paying no heed to those requirements will only attract data breaches. Further, it will result in data loss, paying huge fines, ban, reputation damage, and a lot more.Therefore, to avoid these, your organization must be ready to do all it takes to adhere to data privacy requirements. This article will show you how best to comply with data privacy requirements through best practices and data privacy technologies. Let’s dig in.

Companies that understand and play by the privacy rules will continue to lead in the technology industry. One of the giants who understand privacy is Apple. This insight recently led to more privacy features in the iOS 15.As outstanding as customers might find this feature, marketers would not feel the same way. This is because some of their non-permitted marketing efforts would be constricted. This article will explain the new privacy features of iOS 15 and how it affects marketers.

Today, on #DataPrivacyDay, people internationally are making efforts to improve and educate businesses and consumers on data privacy. But how do we know where to improve if we don’t know where we stand?

Read on to learn more about Apple’s iOS 14.5 tracking changes and how businesses can take advantage of these new developments.

Privacy compliance tools can help your business avoid heavy hits like GDPR fines. They can also ensure data security by making your privacy compliance more robust. It’s a win-win situation where you’re in the good books of both regulatory authorities and consumers.

Read on to learn more about blockchain, the role of blockchain in GDPR, blockchain data security, and the potential role of GDPR and data privacy within the blockchain.

In this article we’ll cover how activity across websites/platforms gets aggregated, how disparate actions by a consumer turn into profiles used to identify behavior, understand the influence of marketing, attribute a purchase to an advertisement.

Putting more attention on privacy compliance practices helps your company avoid fines, lawsuits, and a loss of brand trust and revenue. You need to always stay compliant in the way you gather, handle, store, and manage personal information, and risks are heightened since everything has moved digital.

Big data compliance is vital, irrespective of the scale of your business or the size of your organization. In many instances, it becomes tedious to maintain manual checks on data compliance. That is where Zendata comes in

As a consumer, it can be hard to understand how a website handles your data, and even harder to know what to do about it. Companies bury information in legal disclosures like their privacy policy or gather information using complex tracking mechanisms that you can’t even see.

Data privacy is always at risk; threats continue to evolve by the day. Your business must keep up with this reality and adjust to maintain data privacy at all times. Having a strong data policy, protecting your data both physically and electronically, and educating your staff are some practices you can use to ensure that your data is always secure and confidential.

With every new data privacy regulation and quality standard, running a business seems to become more complex. But you’re not alone in your struggles, and there are many ways you can work your way toward absolute privacy compliance.

Discover How To Manage A Data Breach Response

Learn About Data Access Controls In This 101 Guide.

Discover The Fundamentals of Data Classification And 12 Steps To Implement It

Learn How To Develop Effective Data Security Policies

Learn About Data Masking And How To Implement It

Learn How To Navigate JavaScript Security Risks With Zendata's Website Scanner

Read Our Complete Guide To Data Security.

Discover The Complete Data Security Tools List for 2024

Discover What You Need To Consider When Building Your Data Security Policy

Discover The Common Threats Against Data Security and The Best Practices and Technologies to Defend It

Learn the keys to cybersecurity framework, best practices for privacy and security, and compliance audit software for B2C companies.

Read Our Simple (Yes, Simple) Guide To JavaScript Tags

In cybersecurity, risk management is the practice of prioritizing defense and response tactics based on an incident’s potential impact. Considering data in this process helps you better protect against potential risk factors. By utilizing a data-driven risk management strategy, you can start detecting hidden patterns that are unique to your business and security model.

Discover The Privacy Risks In Enterprise AI Architectures In Financial Services

Discover How Effective AI and Data Governance Secures the AI Supply Chain

Discover About Data Lineage And How It Supports AI Governance

Discover All There Is To Know About AI Security Posture Management

Learn The Different Types of AI Bias

Learn How Zendata's Platform Supports Effective AI TRiSM.

Learn How AI Could Become Dangerous And What It Means For You

Learn How To Govern Computer Vision Systems

Learn About The Governance Requirements For Deep Learning Models

We Examine The Difference In Governance For SLMs Compared to LLMs

Learn About The Risks of Copilot And How To Mitigate Them.

Learn How To Curate and Manage Data For AI Development

Learn What The Conflicts Between GDPR And The EU AI Act Mean For Bias Mitigation

Learn How To Asses The Maturity Of Your AI Governance Model

Learn How To Audit Your AI Governance Policies

Learn How To Teach Your Teams About AI Ethics.

Learn How To Understand AI Models

Explore The Privacy, Governance and Security Challenges Posed By LLMs

Discover Best Practices For AI Incident Response

Learn How Zendata Helps To Address Shadow AI Risks

Learn How To Identify And Assess AI Risks

Learn More About GenAI 2.0 And What It Means For Businesses

Learn How To Draft Effective AI Governance Policies

Learn About AI Transparency And How To Explain Model Decision Making

Learn About AI Bias And How To Mitigate It

Learn Practical Techniques To Implement Explainable AI

Learn How To Effectively Audit Your AI Systems And Models

Learn How To Measure Your AI Governance Program

Can Data Lineage Solve AI Bias?

Learn The Basics of AI Ethics In This Comparison Guide

Learn The Basics of AI Governance In Our Short Guide

Learn How To Integrate Privacy and Fairness Into Machine Learning

Learn How To Make Your Business AI Ready

Discover How Artists Use Data Poisoning To Protect Their Work From AI.

Discover How Observability and Context Solve Data Risks in AI

Discover The Risks of AI-generated Identity Fraud

Learn About Prompt Injection Attacks In AI Models

Discover The Secret To Great GenAI Outputs with RAGs

Learn about the key trends in global AI regulations and how they can impact data privacy, transparency and security.

In Part Two, discover how to mitigate the risks associated with AI in E-Commerce and how Zendata can help.

In Part One, learn about the five key steps to take for a successful AI implementation and discover some of the risks you will face.

Artificial Intelligence (AI) has taken over complex tasks that are laborious for humans to execute. It is designed to solve queries and respond to them just as the human mind will. Even though many feared that AI would gradually take up human roles, leaving them unemployed, it has not happened. As companies use AI to receive consumer data in various industries, it is harmful to neglect data privacy. A 2020 survey by the European ConsumerOrganization showed that about 45 per cent to 60 per cent of Europeans accept that AI will lead to more violation of data privacy. Therefore, some people don’t even trust companies who use AI for data collection with their data. To eliminate this doubt, this article will educate companies on why they must use artificial intelligence design to prioritize data privacy and how they can.

Learn How To Prevent 3rd Party Data Leakage Risks

Learn What Third Party Risk Management Is and Why You Need It

Starting a new business is a daunting task that can lead to several challenges. Let’s explore those challenges and how to best face them!

Protecting your company’s network and data is fundamental nowadays. In this article we explain how to protect your company’s data!

If you are starting a new business, protecting your customers’ data can be a daunting task. Let’s find out how you can do it!

Third-party relationships are crucial to achieving outstanding customer service. It eases the burden that companies feel regarding managing customer data. Despite this, third-party relationships can be risky, especially when it comes to data sharing. You might ask, “how then is security guaranteed?” This blog post will shed light on that question by defining third-party data sharing, various third-party risks, and how to mitigate them.

There are some key differences between the two pieces of legislation. CCPA is less stringent than GDPR, so ensuring compliance with GDPR will likely go beyond what CCPA requires. However, it’s up to you to understand the provisions and how they impact your data practices.

Learn How To Write An Effective Privacy Policy

Learn More About Who Takes Responsibility For Protecting PII

Learn How To Craft Effective Data Management Policies

Learn About Data Provenance and Why It Differs From Data Lineage

Learn About Data Retention Exceptions And When It's Okay To Deviate From Your Policy

Learn About Data Discovery In This 101 Guide

Learn About Master Data Management In Our Short Guide.

Learn About The Journey Data Takes Through A Layered Architecture

Learn How Data Context Helps You Get More Value From Your Data

Discover Our 8 Best Practices For Effective Data Mapping

Learn About Metadata Management And Why It Matters

Learn About Data Interoperability And Why It Matters.

Data and Privacy Observability Go Hand In Hand - Discover Why.

Learn about the fundamentals of data mapping and why it's a crucial component of data protection and data privacy.

Data management and privacy are lifelong requirements for your company to maintain. This is the case because your company, regardless of its industry, collects a series of data from a wide number of customers. Now, this is undeniable, as every company thrives on data.

In the digital age, a data breach or cyberattack may seem inevitable. The best way to prevent a data breach — or to minimize the damage after it happens — is to have an effective data risk management plan in place.

Discover The Best Practices For Data Retention

Check Out Our Guide To Data Quality Tools

Learn How To Integrate Privacy By Design Into Data Governance Frameworks

Discover Data Quality Management Best Practices In This Short Guide

Read Our Guide To Picking The Right Data Governance Framework For Your Business

Check Out Our Comprehensive Guide To Data Quality Frameworks

Read Our Complete Guide To Data Governance

Learn About The Different Stages Of Data Lifecycle Management