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Seven Ways to Protect Your Organization from AI Risks

A big buzzword that is transforming the way businesses use new technology is artificial intelligence, or AI. Learn how to protect your organization from the risks that AI introduces.

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:

1. Understand and assess your AI systems.

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.

2. Limit personal information shared through automation.

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.

3. Prioritize data security (transit, rest and use).

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.

4. Use advanced antivirus technology to mitigate malicious threats.  

Profile-based anomalous behavior should be detected.

5. Invest in continuous staff training.

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.

6. Develop a vulnerability management program.

This end-to-end process involves identifying, analyzing and prioritizing vulnerability risks, which can reduce your attack surface by taking advantage of AI technology.

7. Understand limitations and ethical considerations.

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.

White Paper: Security/Privacy Concerns and Mitigative Measures in the Age of Artificial Intelligence

Discover seven key building blocks to protecting your organization from the risks that AI introduces, as well as the ways that AI can be utilized to enhance your cyber security program. DOWNLOAD THE WHITE PAPER
About the author:
Vito Nozza's career spans 20+ years in Enterprise Architecture, with 15 years specific to Cyber Security. He has held roles as a CTO, Director, Principal Architect and Global Security Advisor, which have all led to establishing guidance and consultative measures to SME and Enterprise-grade entities. Vito has been paramount in establishing cloud security, guided frameworks and disaster/incident response plans, with overall GRC and ERM goals.