Artificial Intelligence has transformed each industry and has the potential to grow further beyond our imaginations. AI can take the entire world by storm. From smart homes to automation systems to customized recommendations to chatbots, AI has already been used in almost all aspects of our life. Technology is witnessing rapid expansion and growth, and data collection is one of the key contributors to that.
Several enterprises have already started to adopt different ways to use Artificial Intelligence for personal data protection and privacy in India. This can be achieved using big data, AI, and machine learning as they can identify cyberattack patterns and prevent data security. According to Gartner Security and Risk Survey 2019, more than 40% of privacy compliance technology depends upon AI and uses the same to mitigate all the potential privacy risks and data protection concerns too.
Significance of AI in Personal Data Protection and Privacy in India
Though businesses have IT teams and cybersecurity solutions that keep a close eye on the attackers; artificial intelligence also plays a vital role in safeguarding financial data. AI can operate 24/7 and cybersecurity software using AI can make smart decisions regarding potentially suspicious traffic.
AI has taken endpoint security measures to another level by analyzing, detecting, and blocking cyberattacks based on behavioral parameters. AI has proved to be beneficial in studying existing data to recognize similar and familiar patterns in new data.
Anomaly Detection
AI can analyze large volumes of data and identify anomalies or unusual patterns that might indicate potential privacy breaches or unauthorized access to personal information. By continuously monitoring data and user behavior, AI algorithms can quickly detect any suspicious activities and trigger alerts.
Threat Intelligence and Prediction
AI-powered systems can collect and analyze vast amounts of data from various sources to identify emerging threats and potential privacy vulnerabilities. By leveraging machine learning algorithms, AI can continuously learn from new data patterns and update privacy protection measures to stay ahead of evolving threats.
Privacy Enhancing Technologies
AI can be employed to develop privacy-enhancing technologies that enable individuals to maintain control over their personal data while still benefiting from data-driven services. For example, AI techniques like federated learning can allow data to be analyzed locally on user devices without being shared with external servers, thus reducing privacy risks.
Natural Language Processing (NLP) for Privacy Policies
AI, specifically NLP, can help individuals understand complex privacy policies and terms of service agreements. By automatically analyzing and summarizing privacy policies, AI can provide users with more accessible information about data collection, usage, and sharing practices, empowering them to make informed decisions about their privacy.
User Authentication
AI algorithms can strengthen user authentication processes by analyzing various biometric data, such as facial recognition or voice patterns, to verify user identities more securely. This can mitigate risks associated with weak passwords or stolen credentials, reducing the likelihood of unauthorized access to personal data.
Data Anonymization
AI techniques like differential privacy can be employed to anonymize and de-identify personal data. By adding noise or perturbations to datasets, AI algorithms can protect individuals’ privacy while still allowing useful information to be extracted for analysis and research purposes.
AI for Better Protection from Malware and Phishing
The correct use of AI-driven data security measures also helps prevent phishing and malware attacks as AI tools can identify the suspicious links in a phishing email. The data scanned by AI consists of message content, links, attachments, metadata, and the sender of the email. In case there is something suspicious, AI will send an alert and issue a warning to protect your network and systems from a phishing attack. A few of the AI tools are also capable enough to analyze the message context and determine the relationship between the subject and the content. Such features help businesses stay away from cyberattacks related to phishing and social engineering effectively.
Conclusion
AI-driven tools for data protection and security are helpful for all-size businesses to ensure data privacy for their sensitive data. Technologies such as Natural language Processing (NLP) help reduce the administrative burden of compliance managers while technologies like intelligent face recognition help have efficient and accurate identity management. AI systems are beneficial to monitor and protect all types of personal data which in turn improves the reputation of the company as well.
So when AI is emerging as the strong technology for all enterprises in ensuring personal data protection and privacy in India, what are you waiting for? If your business doesn’t have an intelligent AI solution in place, plan to do so imminently to protect the business from all sorts of threats.
Get the best AI solutions for now by calling Kodehash’s experts.