Search
Free Trial

Hongke's latest articles

HongKe

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.

[Hongke Insights] Plug the Gaps Before Deploying AI: Minimize Data Breach Risks with “Real-Time Monitoring + Access Control”​

01. Technical Causes and Risks of AI Data Breaches

While AI enhances efficiency and improves the quality of decision-making, it often requires access to large amounts of data for training, retrieval, and inference. Without “visibility, access controls, and real-time responses,” data leaks can occur without anyone noticing.

1) Unintentional Leaks: Supply Chain Gaps and Agents Being Misled

• Supply chain risk is not an abstract concept: Mixpanel once experienced unauthorized access to its systems after an employee fell victim to an SMS phishing (smishing) attack, resulting in the leakage of some customer-identifiable information and analytics-level data; Related disclosures indicate that the data fields may include metadata such as names, email addresses, approximate locations, and browser/operating system information.​
•If an AI agent is granted access to emails or documents, it may be manipulated through “indirect prompt injection”: The ShadowLeak attack demonstrated by Radware exploited hidden commands to trick ChatGPT’s Deep Research agent—which had access to Gmail—into extracting and leaking mailbox information, illustrating that “If an agent has permissions, it can potentially be exploited for malicious purposes.”

2) Data Abuse and Mismanagement: Loss of Control Over Permissions and “Over-Delegation”

When AI systems are equipped with the ability to perform actions (such as reading and writing files, querying databases, sending emails, or issuing invoices), the real risk often lies not in whether the model “will give the wrong answer,” but in whether “it can actually carry out destructive actions after giving the wrong answer.”​
OWASP defines “Excessive Agency” as: a situation in which an LLM, due to having too many functions, too many permissions, or too much autonomy, is capable of performing harmful actions through unintended or manipulated outputs.

3) Compliance Risk: Fines and the Cost of Trust Are Skyrocketing Simultaneously

• Dutch regulators previously fined Experian Netherlands 2.7 million euros for GDPR violations, citing issues such as insufficient notification and other data processing problems, which underscores the strictness of enforcement in personal data governance.​
• France’s CNIL imposed a total fine of 42 million euros on Free Mobile and its parent company, Free, for issues including inadequate protection of customer data. This penalty, linked to the companies’ data breach and subsequent corrective measures, demonstrates that the financial impact of a major data breach can directly reach the “operational level.”

02. How Lepide Builds a Data Leak Prevention (DLP) System for the AI Era

In response to the dynamic risks posed by “agentic” AI, we recommend a two-pronged approach: establish clear permission boundaries before deployment, and use real-time monitoring after deployment to detect anomalous behavior and address it promptly.

1) Pre-deployment governance: Start by applying the “least privilege” principle to the fullest extent possible

First, identify where sensitive data is located and who has access to it: Data classification and permission visibility at the platform level can help identify areas where data is overexposed and track permission statuses (including current permissions and changes).​
Revoke "unnecessary, overly broad, or expired" permissions: The platform supports automated remediation of excessive permissions—for example, automatically revoking permissions via policies when they are no longer needed—to reduce the likelihood of "AI using human accounts as a conduit" to laterally access large amounts of confidential information.

2) Monitoring During Operation: Detect anomalies in real time and reduce exposure time

Once AI tools are deployed, static permissions are insufficient to address behavioral risks; therefore, real-time alerts and monitoring for behavioral anomalies are required—particularly in cases such as elevated account privileges, unusually high volumes of access, and sensitive operations performed during atypical time periods.​
Lepide’s real-time alerts not only “notify you,” but also support rapid response actions (such as freezing accounts, rolling back operations, and isolating systems), and can be integrated with existing response workflows to maintain incident containment capabilities.

3) Integration and Automation: Turning “Discovery” into “Closed-Loop Processing”

To move beyond “detecting risks” to “preventing data breaches,” the key is to integrate alerts into existing SOC/IT processes (such as SIEM, SOAR, and ITSM) so that incidents can be prioritized, assigned, tracked, and audited.​
The platform also emphasizes policy-based governance and automated remediation of excessive permissions, ensuring that permissions do not continue to expand due to personnel changes and project overlaps, and preventing AI agents from obtaining “default superuser privileges.”

In the face of the AI wave, the most prudent approach is to first “clean up” sensitive data and access controls, and then use real-time monitoring to suppress anomalous behavior as soon as it occurs.​
"Start a free trial" or "Schedule a product demo" now

03. Frequently Asked Questions (FAQ) About AI Data Breaches

Q1: Why is it particularly important to prevent data leaks from generative AI?​
Because generative AI is often used in workflows such as “summarizing, rewriting, comparing, and analyzing,” if the input contains personal data or trade secrets, the consequences of a data breach would extend across three areas: regulatory, financial, and trust; GDPR-related penalty cases have already demonstrated that both the intensity of regulatory enforcement and the scale of fines can be quite substantial.​
Q2: How might employees unintentionally cause a data breach?​
Common scenarios include: pasting unanonymized lists or contract excerpts into a chat window, asking an AI to polish emails containing sensitive information, or granting an agent access to an email account or cloud storage without clearly defining the scope of its permissions; Once a proxy is granted excessive permissions, it falls under the “over-proxy” risk profile defined by OWASP.​
Q3: If you suspect an AI-related data breach is occurring, what should you do immediately?​
Prioritize the following three actions: preserve evidence (operation logs, timelines, and affected accounts); reduce the attack surface (by first freezing or restricting access to high-risk accounts); and use real-time alerts and audit logs to trace “who accessed which data and when,” to facilitate containment and reporting.

Go to Lepide Product Page

Other Articles
Hongke Case

[Hongke Insights] A Buyer’s Guide to Enterprise-Grade Smart Glasses: 8 Key Differences Between AR Glasses in Industrial and Medical Applications

Are you evaluating AR smart glasses for warehouse logistics, modern manufacturing, or telemedicine? This article provides an in-depth comparison of the eight key differences between consumer-grade and enterprise-grade smart glasses. Hongke offers professional AR solutions for businesses in Hong Kong and Southeast Asia that feature high security, support for MDM management, and reduced TCO. Read the buying guide now!

Read more
HongKeTechnology July 7, 2026
Hongke Dry Goods

[Hongke Insights] The Wave of Chinese Innovative Drugs Going Global: A Comprehensive Guide to Pharmaceutical Cold Chain Compliance and Temperature Monitoring During Transport

2026 will mark a boom period for the global expansion of China’s innovative drugs and biologics. How can you ensure that cross-border shipments comply with FDA 21 CFR Part 11 and EU GDP regulations? ELPRO LIBERO temperature recorders from Hongke offer a training-free, globally recognized pharmaceutical cold chain compliance solution, helping biotech companies successfully expand into global markets such as Hong Kong and Southeast Asia.

Read more
HongKeTechnology July 3, 2026
Hongke Dynamic

[Authoritative Recognition] Hongke MSR Named One of the World’s Top 15 Shock Data Logger Companies

Hongke’s MSR Data Logger has been ranked among the top 15 in the global shock data logger market! Designed specifically for precision instruments, semiconductor equipment, and cold-chain logistics, it provides high-precision three-axis shock, vibration, and temperature/humidity monitoring, comprehensively ensuring the safety of B2B cross-border logistics and supply chains. Learn more about our professional-grade transportation environment monitoring solutions today.

Read more
HongKeTechnology June 30, 2026
close menu icon

Contact Hongke to help you solve your problems.

Let's have a chat