Page 71 - Cyber Defense eMagazine August 2024

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Prioritizing Security in Product Design

In light of the growing threat of malicious AI, embedding cybersecurity principles into product design is
critical. Incidents such as the Samsung data breach attributed to ChatGPT underscore the risks of
sidelining security. As AI draws data from multiple sources, businesses must implement AI policies and
tools like mobile device management and endpoint protection software to prevent misuse. Prioritizing
security from the outset of product development is key to building user trust.

Achieving Collaboration Among Teams

While dedicated cybersecurity teams are common in enterprise companies, security remains a collective
responsibility for all employees. A vigorous approach to security requires collaboration across
departments to keep everyone aligned with best practices. Security awareness training is one of the best
ways organizations can remind their employees about their responsibilities when it comes to cyber
security risks. Paying attention to suspicious emails and protecting corporate credentials are some of the
best practices employees may need training on. Dedicated product security managers, working with
competent, collaborative teams can ensure companies continuously update their security measures and
deploy AI to identify vulnerabilities effectively.

Guarding Against AI Exploitation

Generative AI tools like ChatGPT have changed how people work and improved productivity, but their
ability to simulate human communication poses risks. While no AI-specific security regulations exist yet,
initiatives like ISO's AI cybersecurity framework are in the works. Additionally, discussions are taking
place about using AI to automate processes like network penetration tests, because it can identify
vulnerabilities as well as human experts do. Due to AI’s “new” nature, many organizations are
implementing internal AI policies to control how their employees and systems interact with AI. Some are
even completely banning the use of generative AI tools to guard themselves against exploitation. These
initiatives reflect the industry's commitment to secure AI use.

Streamlining Cybersecurity with AI Automation
Businesses are using automation more and more for cybersecurity. While tools like AI perform security
tasks faster, no automation solution can guarantee 100% accuracy. Over-reliance on automation can
lead to assumptions that might not fit every scenario. Regular audits and human oversight are essential
to ensure the effectiveness of AI tools.

AI significantly speeds up certain tasks, such as responding to lengthy security questionnaires or RFQs.
These can often be long, with some containing over 1000 questions. Businesses can answer these much
faster with AI, saving both time and human resources.

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