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Embracing Secure AI: A Strategic Imperative for Business Stakeholders Breadcrumb Home Insights Blog Embracing Secure AI: A Strategic Imperative for Business Stakeholders October 17, 2024 Artificial intelligence (AI) has moved from a futuristic concept to a critical component of business operations. The recent surge in AI-enabled products and applications has made interactions with AI technology an inevitable part of our daily lives. As a result, you need to harness the power of AI without compromising your cybersecurity program. The AI Revolution and Its Implications AI is revolutionizing industries by enhancing capabilities, optimizing processes and unlocking new levels of efficiency. However, the widespread adoption of AI also introduces complex security risks that your business must address. Secure AI is not just about protecting data. It's about safeguarding the entire AI ecosystem, from data collection and model development to deployment and operationalization. To help these leaders navigate the complexities of AI security, we are excited to announce the launch of our free course, Secure AI for Business Stakeholders. This course covers everything from developing a strategic AI roadmap to implementing robust AI governance and risk management practices. Image Click to Launch Course The Path to Secure AI Adoption A secure AI-enabled organization begins with understanding both the opportunities and the inherent risks of AI. You need a comprehensive strategy that integrates AI security into every phase of your AI implementation. The following four steps will help you create a robust AI security framework: Strategic Roadmap and Vision: Develop a strategic roadmap that aligns AI initiatives with broader organizational goals. This includes assessing current capabilities, preparing the organization for AI integration and defining clear, actionable AI use cases. AI Literacy and Awareness: Build AI literacy across the organization. Educate employees about AI's potential and its associated risks, ensuring that they understand their role in maintaining AI security. Strong Governance and Policies: Establish AI governance frameworks that define policies, processes and standards. Effective governance ensures that AI deployments align with business objectives and regulatory requirements while mitigating risks. Risk Management: Implement a comprehensive risk management strategy that addresses AI cybersecurity risks. This includes continuous monitoring, threat modeling and proactive security testing. Building a Secure Foundation Creating a secure foundation for AI involves the creation of growth-oriented policies and governance structures that support the long-term vision of your business while addressing current security realities. This dual focus ensures that AI initiatives are innovative and secure while also fostering trust and compliance as your operations grow in complexity. If unsure where to begin, minimize AI risk by partnering with a trusted cybersecurity solutions provider. Implementing AI Cybersecurity Once the foundation is in place, the focus shifts to implementing AI security measures across the organization. This step includes developing secure AI management processes, operationalizing these processes and establishing metrics to track and measure AI security performance. Continuous testing and validation are crucial to maintaining the integrity and reliability of AI systems against complex threats. Operationalizing Secure AI Operationalizing secure AI is an ongoing effort beyond initial implementation. It requires integrating secure practices into the organization's daily operations and continuously refining these practices based on real-world feedback and evolving threats. Key activities include establishing AI application threat modeling, performing continuous AI security testing and applying the software development lifecycle (SDLC) to AI projects. The Role of AI in Cybersecurity AI in cybersecurity acts as a force multiplier. By leveraging AI, organizations can improve threat detection, automate response mechanisms and better manage vulnerabilities. AI security solutions can analyze vast amounts of data to identify patterns and anomalies that may indicate security breaches, enabling faster and more effective responses. Optiv Helps You Implement Robust AI Security Practices For cybersecurity leaders, adopting an AI cybersecurity strategy is not just a technological imperative but a strategic one. By following a structured approach to AI security, organizations can unlock the full potential of AI while safeguarding their assets and maintaining trust with stakeholders. Contact us to stay ahead of cybersecurity threats by implementing robust AI security practices. By: Tiffany Shogren Director of Services Enablement & Education | Optiv By: Colin Hayes Cybersecurity Education Specialist, Optiv Share: AI AI Security AI Cybersecurity security ai