Navigating the ins and outs of 2023’s data privacy landscape has only gotten more complex, and the need for more bulletproof solutions to safeguard personal data has become more important than ever. After the implementation of regulations like the General
Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA), new standards have been set for how organizations handle and protect personal information. But with the constantly evolving business and privacy landscape, this movement proves
to be just the beginning of a longer, more winding road.
Meanwhile, In the News…
Headline-grabbing incidents have recently dominated the news, including Elon Musk’s mishandling of X’s (then Twitter’s) data privacy and security.
Recent court filings have shed light on the Federal Trade Commission's (FTC) scrutiny of Musk's management in an undisclosed document. The Department of Justice has asserted that Musk cultivated a turbulent atmosphere within X, creating a tumultuous environment
that hindered company officials from fulfilling their responsibilities to the FTC.
In US state news, Delaware Governor John Carney signed the
Delaware Personal Data Privacy Act into law, making it the 12th state with a comprehensive consumer-data privacy law. This law grants consumers the right to know, correct, delete, and obtain copies of their personal data held by businesses. It also allows
consumers to access a list of third parties who have received their data and opt out of targeted advertising. Meanwhile, Pennsylvania is considering the Consumer Data Privacy Act (House Bill 1201), allowing residents to opt out of data processing. Businesses
must provide this opt-out mechanism, but individuals cannot sue for violations; they must petition the state attorney general.
From here on out, the plot will just get thicker, and mastering the art of data privacy has also gotten more complicated. Now, the question is: Where does this leave businesses, SMBs, and enterprises alike? And more importantly, what solutions should they
invest in for preventing risks rather than fixing legal damages?
It’s Raining Data Breach
Unfortunately, data breaches have become a common and regular occurrence for numerous organizations, leading to adverse consequences for their customers, including identity theft and various forms of fraudulent activities. While business operations necessitate
the sharing of customer information, companies that prioritize the security of customer data can establish trust with their clientele.
Safeguarding customer data requires maintaining regulatory compliance and making strategic investments in security technologies. This not only enhances security but also benefits both the organization's operations and its relationships with customers.
Ultimately, leaders should take crucial steps and rethink their organizational privacy structure for the sake of both employees and customers. Key considerations include data minimization, transparency, encryption, privacy by design, cross-border data transfers,
impact assessments, breach response plans, employee training, emerging tech safeguards, and public awareness to build trust and ensure compliance while minimizing risks and protecting sensitive information.
But with the volume of risks and threats penetrating organizations, coupled with evolving regulations, manually shielding company data and users’ personal information has become an insurmountable challenge, even for the most progressive leaders.
Automation offers several key data privacy advantages, notably by enhancing the efficiency of personal data processing and protection. Machine learning swiftly categorizes data, reducing errors, while automation aids in implementing privacy safeguards like
access controls, encryption, and user authentication, limiting data exposure to authorized personnel and mitigating privacy breaches. Additionally, automation assists in regulatory compliance, such as GDPR, by enabling more effective data monitoring and auditing
to ensure adherence to privacy laws.
Today, state-of-the-art data privacy solution providers are offering automation-driven privacy, security, and compliance. A key player in this movement is
MineOS, which automates data mapping and provides a centralized platform to help businesses discover data sources throughout their company – from SaaS vendors to internal data systems. Empowered with pre-labeled data points,
privacy officers can easily classify personal data and ensure compliance with regulations.
MineOS displays the importance of building a well-oiled machine that starts from their people. Their team of innovators unites technological, entrepreneurial, and creative minds with extensive backgrounds in cyber, data privacy, and consumer companies –
all aiming to combine automation capabilities with a human-centric privacy experience.