AI can be a huge help in detecting and defending against data breaches. However, cyberattackers also use AI to thwart enterprise security defenses. In this article, you'll learn about SymantecAI, an advanced suite of security and productivity solutions powered by AI technologies. SymantecAI that increases security by simplifying the analysis and remediation of threats, ensuring better data protection, and streamlining security operations.
What are the key risks of using Generative AI in enterprises?
The key risks posed by Generative AI in enterprises include sensitive data loss, copyright issues, and potential abuse by attackers. Employees may inadvertently expose confidential information by inputting it into AI systems. Additionally, content generated may not be copyright-free, leading to legal risks. There are also concerns that attackers could use Generative AI to enhance their efficiency in executing attacks, although current AI capabilities do not allow for the creation of entirely new attack methods.
How can organizations safeguard the use of Generative AI tools?
Organizations should establish clear policies regarding the use of Generative AI, regularly reviewing and updating them as necessary. They can utilize tools like Symantec's DLP Cloud for real-time data inspection and remediation to prevent the exposure of confidential information. Additionally, providing documented requirements for employees to validate the accuracy and compliance of AI-generated outputs is essential.
What is the future of Generative AI in cybersecurity?
The future of Generative AI in cybersecurity is likely to involve both attackers and defenders leveraging these tools. While attackers may eventually develop new threats using AI, security companies are also expected to enhance their defenses with AI capabilities. The ongoing investment in computing power and research by security firms will be crucial in maintaining an advantage in this evolving landscape.
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