Safeguarding AI From Potential Threats
As artificial intelligence (AI) continues to revolutionize various industries, prioritizing the security and integrity of AI systems becomes an increasingly vital concern. The average breach costs a company $9.4 million in the U.S. according to Gartner, but a company that invests in AI security reduces that number to $1.76 million or less in damages. To effectively secure AI systems, businesses must go beyond traditional cybersecurity measures.
First: The protection of AI requires a multi-layered approach that encompasses data protection, user integrity, and infrastructure resilience. Data protection is critical, whether it’s company data, employee data, or client data.
Second: User Integrity is essential to ensure the right person has access to the correct applications and each user is authenticated using multi-factor authentication (MFA) or identity and identity access management (IAM) measures to validate each login attempt.
Third: Protecting the crown jewels for an organization, intellectual property, is extremely important to ensure sensitive corporate data does not get in the hands of the wrong person.
Each layer has a unique responsibility in safeguarding AI from potential threats, creating a comprehensive and holistic security system while protecting users both internally and externally. AI models, just like any other software or system, are susceptible to attacks especially when it looks for vulnerabilities that are technology-driven or created.
It is essential to take proactive measures to mitigate the risks and securing AI systems is a complex task that demands a multi-layered approach and a deep understanding of AI-specific vulnerabilities. Let our team help you build a comprehensive security strategy to unlock the full potential of AI while mitigating the associated risks effectively.
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