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AI has become a ubiquitous tool in our digital age, with its reach extending to virtually every aspect of our lives. From chatbots on websites to healthcare and finance, AI is a driving force behind our daily activities. With this in mind, it’s crucial to be knowledgeable about AI attacks, how to protect against them, and how to determine the potential risks that your organization may face without your knowledge. In this post, we delve into everything you need to know about AI attacks and defense in 2023.

What is an AI attack?

AI is a complex and powerful tool that requires human input to generate results. It operates using dynamic algorithms that are susceptible to user influence, making data integrity a crucial component. An AI attack occurs when false or inaccurate inputs are inserted into the process, compromising the tool's functionality and potentially costing thousands of dollars to repair.

An AI attack occurs when malicious entities intentionally manipulate the process by injecting false or inaccurate inputs into the algorithm. This can cause a multitude of issues, affecting thousands of daily users and disrupting the established patterns. The consequences can be severe, rendering the tool ineffective or even causing irreparable damage, resulting in significant repair costs.
The Blackmanba polymorphic keylogger demonstrates the use of AI in generating unique malware signatures to evade Endpoint Detection Filters. Learn about the implications and dangers of this advanced technique.

How to defend against AI attacks

One of the most innovative solutions to combat AI attacks is implementing AI defense systems. Companies like Darktrace have developed "defensive AI" that can effectively neutralize false information and even paid "offensive" AI services. This cutting-edge technology operates by identifying and isolating the damage to a specific area, preventing any potential breakages from spreading throughout the entire system.

Defensive AI employs two core strategies to combat AI attacks: identification and neutralization. Rather than blocking offensive AI, which may prove ineffective, neutralization is the key to preventing breakage and confining damage to a specific area. This is achieved through early identification and continuous monitoring of the inputs feeding the tool.
Organizations that fail to adapt to the ever-evolving threat landscape and solely rely on outdated detection-based cybersecurity solutions will remain at risk of falling prey to advanced AI attacks and other emerging malware.
For those seeking a more proactive solution to AI attacks, AppGuard offers a revolutionary approach that has been proven to prevent the execution of advanced threats with a 100% success rate. Say goodbye to detection-based cybersecurity solutions and safeguard your organization against the ever-evolving threat landscape with AppGuard.

Determining risk for AI attacks

If your organization deals with AI, you may be wondering how you can determine your overall risk for AI attacks. We recommend getting a third-party cybersecurity evaluation from a trusted company; that can then evaluate your total network vulnerability and potential risks associated with your industry and scope.

CHIPS is here to help you make your cybersecurity airtight and defend your brand perception and experience. For more information and to get started today, please visit our website.


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