In my last blog post, I discussed the risks that artificial intelligence (AI) introduces to your environment. You may be wondering how you can ensure your organization stays protected from these risks. There are seven key building blocks to protecting your organization:
As you introduce a system into your environment, assess the platform and implement monitoring tools to mitigate any risks that could be present via known vulnerabilities.
Allow the platform to collect data that is relevant to its operations. Do not allow access to data that is private or protected by law.
Keep data protected in a similar data loss prevention capacity. Encrypt private data, keep vigilant access control lists, and ensure that storage and backup technologies have checksums and encryption in order to mitigate unauthorized changes.
Profile-based anomalous behavior should be detected.
Ensure that your staff is aware of possible AI risks that could disrupt their daily activities. For example, make sure they know how to recognize emails that could be potential phishing attacks designed by AI.
This end-to-end process involves identifying, analyzing and prioritizing vulnerability risks, which can reduce your attack surface by taking advantage of AI technology.
As great as AI data analysis and reporting can be, it is imperative that users are trained on double checking AI outputs to ensure biases are being tracked. This is highly dependent on the data that is being stored and collected to make a concise, ethical decision.
C1 can help you usher in the proper safeguards mentioned above in AI environments by utilizing the strength of our partners and our security expertise in designing, implementing and monitoring controls that prevent, detect and respond—all while mitigating the risks that AI could introduce to your ecosystem. Having systems that can deep dive into applications and codes to decipher possible changes and threats to your environment is key to AI risk controls.