In recent years, Generative AI has revolutionized many business sectors, from automation to advanced data analysis. This technology offers significant opportunities to enhance efficiency and innovation.
However, behind its remarkable benefits, AI data security remains a primary concern. Without proper protection, sensitive data can be leaked, misused, or manipulated. So, how can companies safeguard data privacy and security in AI while anticipating various threats? Find out more in this article.
Why Is Data Security in AI a Top Priority?
Data security in AI systems is not just an add-on but a necessity. Here are the main reasons why data security should be a top priority:
- Risk of Data Breaches: Without proper protection, sensitive data can fall into the wrong hands, leading to financial and reputational losses.
- Strict Regulations: GDPR in Europe and Indonesia’s PDP Law require companies to protect customer data privacy.
- Consumer Trust: Companies that fail to maintain data security risk losing customers and damaging their brand reputation.
What Types of Data Are Vulnerable to Breaches in AI Systems?
AI systems manage various types of data, each with a high level of sensitivity, such as:
| Type of Data | Description |
| Personal Data | Identity information such as name, address, and phone number. |
| Financial Data | Banking transactions, payments, and financial reports. |
| Operational Data | Business strategies, managerial decisions, and internal company processes. |
| Customer Data | Transaction history, preferences, and customer interactions. |
| IoT Sensor Data | Information from smart devices and automation systems. |
What Are the Threats to AI Data Security?
Threats to AI data security can come from both external and internal sources. Cyberattacks such as hacking, phishing, and ransomware continue to evolve, targeting high-value AI data.
Additionally, data breaches can occur due to internal errors, such as unsecured storage or uncontrolled access. Even more dangerous, malicious actors can manipulate data to alter AI analysis results, leading to biased or misleading outputs.
The Role of Regulations and Compliance in AI Data Security
To mitigate security risks, various regulations have been implemented to ensure better data protection. GDPR in Europe, for example, regulates how companies handle customer data, including transparency in data collection and processing.
In Indonesia, the PDP Law also emphasizes the importance of personal data protection, requiring companies to secure customer information. Compliance with these regulations is not just about following the law but also demonstrating a company’s commitment to maintaining user trust.
Also Read: Strengthening Cybersecurity with Effective Digital Resilience Strategies
Key Principles for Ensuring AI Data Security
To keep AI systems secure, companies can implement several key principles. First, transparency in data processing must be maintained so customers understand how their information is used. Second, data minimization policies should be applied, meaning companies only collect the necessary information.
Furthermore, access to data should be restricted to authorized personnel only, and all information must be encrypted to prevent unauthorized access. By adopting these approaches, companies can significantly reduce the risk of data breaches.
4 Challenges in Securing AI Data
Although various security solutions are available, companies still face several key challenges in securing AI data:
1. Technological Complexity
AI continues to evolve, requiring security systems to be constantly updated to keep up with new threats.
2. Lack of Universal Standards
Security regulations vary by country, making the implementation of global policies difficult.
3. Limited Resources
Not all companies have a strong cybersecurity team capable of handling evolving threats.
4. Exploitation of AI Models
AI systems can be attacked using techniques like adversarial attacks, which alter AI analysis results.
Comprehensive Guide from Forcepoint on Securing Generative AI Data
Forcepoint offers AI-based security solutions designed to help companies protect their data from evolving threats. With its latest executive guide, Forcepoint provides deeper insights into how companies can identify sensitive data, develop effective security strategies, and leverage AI for faster and more accurate threat detection.
This approach not only helps companies comply with regulations but also ensures that AI-driven innovation can continue without compromising security.
Beyond data protection, Forcepoint also helps businesses understand data movement patterns and hidden risks associated with AI usage. By integrating AI Mesh and Machine Learning, Forcepoint can classify data in less than 200 milliseconds, enabling companies to act swiftly before threats materialize.
Forcepoint’s Benefits in Managing AI System Data Security
Forcepoint provides various solutions to ensure optimal data visibility and protection:
- Data Security Posture Management (DSPM): Maps sensitive data locations, identifies access permissions, and assesses compliance gaps.
- Data Loss Prevention (DLP) with Risk-Adaptive Protection: Adjusts protection based on detected risk levels.
- Integration with OpenAI API: Enables companies to leverage Generative AI while maintaining data security.
AI Chatbot Data Security with Forcepoint
AI-powered chatbots are increasingly used in businesses for customer service, data analysis, and internal information processing. However, without proper security, these chatbots can become entry points for cyber threats. How can data security be ensured when using AI chatbots?
Forcepoint offers AI Mesh technology, combining Deep Neural Networks, Language Models, and Machine Learning to instantly classify data. The result? High accuracy, minimal risk, and simplified security management.
Additionally, Forcepoint provides three key solutions to secure AI chatbots:
- Forcepoint DLP – Identifies and prevents data leaks by closely monitoring sensitive information.
- Forcepoint ONE SSE – Secures access to Web Traffic, SaaS Apps, and Private Apps, ensuring only authorized users can access critical data.
- Cloud-Based, Unified Policy – Provides centralized and flexible security policies, allowing businesses to manage security more efficiently.
Forcepoint Helps Boost Productivity and ROI with Better Data Security
Data security is not just about protection—it’s also about improving efficiency, productivity, and cost savings. With AI-driven security solutions from Forcepoint, companies can simplify security infrastructure, reduce operational costs, and increase ROI (Return on Investment).
- Optimizing Productivity – AI-powered security automation allows IT teams to focus on strategic tasks rather than handling preventable threats.
- Reducing Security Complexity – Consolidating security policies into a single platform eliminates redundant tools and improves efficiency.
- Cutting Operational Costs – Security automation minimizes the need for manual intervention, saving time, resources, and budget.
With Forcepoint, companies not only gain top-tier data protection but also the flexibility to grow in the AI era without being hindered by security risks.
Secure Your Data in the AI Era with Virtus
Virtus Technology Indonesia (VTI) is ready to help your company secure data with Forcepoint’s Generative AI security solutions. With advanced technologies such as Data Security Posture Management (DSPM), DLP with Risk-Adaptive Protection, and AI Mesh, Virtus ensures your sensitive data remains protected from cyber threats.
As a trusted cybersecurity solutions provider, Virtus offers comprehensive protection against data breaches, unauthorized access, and risks arising from AI adoption in business. With Cloud-based, Unified Policy and Forcepoint ONE SSE, your company’s data security is guaranteed.
Don’t let data security risks hinder AI adoption in your business! Contact the Virtus team now for consultations and the best solutions to protect your business.
Author: Ary Adianto
Content Writer CTI Group
