ChatGPT, an artificial intelligence (AI) tool, has recently been found to pose potential security risks to organizations due to employees leaking confidential information into the tool. According to a recent report by DarkReading, 4% of workers are inadvertently feeding protected corporate information, such as schematics, statistics, and instructions, into large language learning models (LLMs) used by ChatGPT. This has led to security concerns for companies, with the risk of carelessly shared company data being searched by attackers.
Though generative AI and LLM tools can expedite innovation cycles by simulating and generating ideas, designs, and prototypes, they create a wide range of security issues. Apple and Samsung have blocked access to these sites entirely, but such drastic measures can also lead to security gaps. Instead, effective security for AI needs to detect and categorize data quickly and accurately to combat data exfiltration.
Banyan Security’s solution can categorize all DNS transactions and inspect traffic for sensitive data, such as Personal Identifiable Information, Protected Health Information, Secrets and Keys, and Payment Card Industry data. Additionally, the solution is always-on, meaning end users will benefit from protection without needing to take action. Administrators can gain valuable insights into user activities without needing to configure additional policies or settings.
Sensitive data inspection is based on known patterns across multiple regions and countries. The DLP policies can include blocking downloads or restricting sensitive data uploads. Generative AI can introduce new cybersecurity threats, including sophisticated and realistic phishing attacks and advanced malware creation. By blocking access to generative AI sites and tools, organizations can mitigate potential risks and prevent unauthorized or inappropriate use of these technologies within their networks.
SWG solutions can detect and prevent users from accessing websites or tools designed for generative AI by analyzing and categorizing web content based on predefined policies. By employing a combination of URL filtering, content inspection, and machine learning algorithms, SWGs ensure that employees are unable to access generative AI sites or tools that may compromise data integrity, violate privacy regulations, or infringe upon intellectual property rights.
In conclusion, effective security for AI requires advanced web filtering capabilities and DLP inspection. By leveraging SWGs like Banyan Security’s SWG, organizations can maintain control and security over their network environments, ensuring that employees are unable to access generative AI sites or tools that pose potential security risks.
