Artificial Intelligence (AI) is changing the world in ways we never thought possible. It’s changing industries, creating new ones, and improving lives.
However, the technology behind AI has raised concerns about privacy and security. With the increasing use of AI, more and more data is being collected, stored, and processed, making it vulnerable to attacks. According to an IBM study, the average cost of a data breach is $3.86 million.
As an app development company, it’s important to understand how to protect user data in the AI era.
In this blog, we will explore 5 major ways to protect data in the AI era. So let’s get started!
1. Data encryption
As a mobile application developer, it is very important to ensure data security by using encryption methods that can protect data from unauthorized access. Data encryption turns data into a code that can only be decrypted with a key, making it an effective measure for protecting sensitive user data.
While AI algorithms can crack encryption keys, they can be mitigated by using advanced encryption methods such as quantum encryption. According to Zion Market Research, the global encryption software market is expected to grow from $4.25 billion in 2018 to $11.77 billion in 2025, with a CAGR of 15.76%.
Therefore, integrating data encryption into mobile apps can help protect user data and prevent cyber threats, thereby building trust and enhancing the reputation of mobile app developers.
2. Multi-Factor Authentication
Multi-factor authentication (MFA) is an effective layer of security that involves using more than one authentication method to access user data. According to research from Microsoft, MFA can block 99.9% of account penetration attacks, making it a reliable method of preventing unauthorized access to user data.
MFA can be achieved through various techniques such as biometrics, SMS or email authentication. By integrating MFA into iOS and Android mobile apps, app development companies can improve user data security and protect against cyber threats.
This can help build user trust and increase the reputation of custom mobile apps for iOS and Android development companies.
3. User Agreement
Obtaining user consent is an important aspect of data protection. Users must be informed about the collection, use, and availability of their data to ensure transparency and trust between users and application developers.
According to a Pew Research Center poll, 57% of Americans don’t trust social media companies when it comes to protecting their privacy. Therefore, Users must have the right to withdraw their consent at any time.
As an app development company, it’s important to ensure apps comply with privacy laws such as the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA) to protect user data and prevent data breaches. By incorporating user consent into mobile app design, app developers can build trust and credibility among users and enhance the reputation of mobile app design companies.
4. Data Masking
Data masking is a useful way to hide sensitive information while preserving its original format. This is especially useful for applications that require the use of real data for testing, analysis, or training. By implementing data hiding, the New York-based app development company can ensure that user data is protected from disclosure and misuse.
According to MarketsandMarkets, the data masquerading market is expected to grow from $384 million in 2020 to $767 million in 2025, at a CAGR of 14.8%. Integrating data obfuscation into apps can help protect user data and prevent cyberthreats, increasing the trust and reputation of app development companies in New York.
5. Regular Audits
Regular audits play an important role in achieving this goal, as they can uncover vulnerabilities and ensure compliance with data protection regulations. Audits can be performed internally or by external auditors and help prevent data breaches while ensuring user data remains secure.
According to a study by Grand View Research, the global data management market is expected to reach $5.7 billion by 2025 at a CAGR of 22.3%. By conducting regular audits, application development companies can protect user data and stay ahead of market competition.
The era of artificial intelligence has brought an unprecedented level of sophistication when it comes to privacy. Therefore, it is important to understand the different ways data can be protected from cyber threats and breaches.
The five main avenues covered in this blog – encrypting data, implementing access controls, performing regular data backups, user consultation, and promoting data masking – provide a robust defense against data breaches. Organizations that proactively implement these measures protect not only themselves but also their customers’ confidential data.
With our increasing reliance on AI and the vast amounts of data being generated every day, it is critical that we stay vigilant and employ the latest cybersecurity practices to protect our most sensitive information.