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 by AI may not be copyright-free, which can lead to legal complications. Lastly, while attackers may use Generative AI to enhance their efficiency, the technology currently cannot create entirely new attack methods.
How can organizations protect themselves when using Generative AI?
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 sensitive 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 uncertain, but it is expected to transform both offensive and defensive strategies. As the technology improves, attackers may develop new threats more efficiently, while security companies will leverage Generative AI to enhance their defenses. The ongoing 'arms race' will likely depend on the computing power available to both attackers and defenders, with significant investments in research and technology being crucial for maintaining an advantage.
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