Colliding Issues in AI and Quantum Computing Technology
In the rapidly evolving world of technology, two transformative forces are gaining significant attention: Artificial Intelligence (AI) and Quantum Computing. A series of polls by ISACA, a global non-profit association focused on IT governance, highlights the challenges and solutions for responsible and secure implementation of these technologies.
Challenges
The polls underscore several key challenges. AI Governance and Risk remain significant hurdles, with managing ethical deployment, ensuring transparency, and mitigating operational risks requiring specialized auditing and oversight to detect biases, errors, and vulnerabilities.
Quantum Computing, despite its potential, presents a gap in readiness against quantum threats to current cryptographic security. In the Quantum Pulse Poll, only 5% of respondents said that quantum computing will soon be a top priority for their company, revealing a need for increased awareness and proactive adoption of quantum-resilient security measures.
Scaling and transforming AI successfully is another challenge. Organizations face difficulties in moving from isolated AI experiments to scalable, integrated AI systems that secure robust governance and continuous monitoring to maintain reliability and compliance.
Solutions
Addressing these challenges requires strategic approaches. Professional Expertise and Certification play a crucial role. ISACA’s AI Audit and Assurance (AAIA) certification equips auditors with knowledge in AI Governance and Risk, AI Operations, and AI Auditing Tools & Techniques, empowering them to oversee AI implementations ethically and securely.
Enhancing security posture against quantum threats is another solution. The low prioritization of Post-Quantum Cryptography (PQC) among security leaders points to the need for increased awareness and proactive adoption of quantum-resilient security measures to safeguard future cryptographic assets.
Leveraging AI for Audit Innovation can also help. AI-powered audit tools improve anomaly detection, predictive insights, continuous monitoring, and automated controls testing, enhancing the depth and timeliness of AI system oversight.
Strategic Scaling and Governance Frameworks are key to scaling AI responsibly while managing risks effectively. Embedding strong governance frameworks and focusing on cross-functional collaboration are essential for organizations to meet the demands of emerging technologies like AI and quantum computing.
The Future Outlook
The arrival of quantum computing will compound the impact of AI, accelerating its capabilities and associated risks. Companies are investing in AI, as evidenced by its frequent appearance in job postings and industry conference programs. However, ensuring AI is implemented responsibly and securely requires investment in training and skilling.
Nearly three in four U.S. respondents in a KPMG study consider it "a matter of time" before cybercriminals use quantum computing capabilities to undermine modern cybersecurity approaches. Therefore, cybersecurity leaders should gain a thorough understanding of PQC standards and ensure their teams have the training needed to identify dependencies, coordinate with vendors, and plan for the transition in advance of quantum computers rendering current internet encryption obsolete.
The growing array of AI training for individuals and teams is available, including specialized credentials that explore how AI knowledge can be layered into digital trust professions like cybersecurity, privacy, and IT auditing. Training in AI and quantum computing will give teams the opportunity to identify benefits from the use of these technologies, such as utilizing AI and quantum computing for advanced attack pattern recognition or sophisticated real-time vulnerability and risk assessments.
In summary, the evolving threat landscape necessitates constant vigilance and proactive strategies. The ISACA polls emphasize that responsible AI and quantum computing implementation hinge on advanced governance expertise, proactive security strategies—especially for post-quantum cryptography—and utilizing AI-driven audit innovations to maintain trust, security, and ethical compliance in these transformative technologies.
[1] ISACA. (2022). 2025 AI Pulse Poll and Quantum Pulse Poll. Retrieved from ISACA's website [2] ISACA. (2022). Post-Quantum Cryptography: Bridging the Gap Between Theory and Practice. Retrieved from ISACA's website [3] McKinsey & Company. (2021). The State and Future of Generative AI. Retrieved from McKinsey's website [4] KPMG. (2021). Quantum Computing: Are You Ready? Retrieved from KPMG's website
- Chris Dimitriadis, a key figure in the domain of technology, advocates for the importance of AI Governance and Risk in the context of finance and personal-finance, emphasizing the need for ethical deployment and transparency when investing in AI-powered wealth-management solutions.
- In the realm of business and technology, cybersecurity continues to be a pressing concern, especially with the impending advent of quantum computing and its potential quantum threats to current data-and-cloud-computing security.
- As the implications of Artificial Intelligence and Quantum Computing become increasingly pronounced, Chris Dimitriadis, a seasoned expert, underscores the significance of Pro professional Expertise and Certification in areas like AI Audit and Assurance, which could facilitate the secure and ethical implementation of these transformative technologies.
- Chris Dimitriadis, in his discussions on the topic of technology and finance, often emphasizes the role of AI in enhancing personal-finance management and data-and-cloud-computing, particularly in terms of anomaly detection, predictive insights, and automated controls testing through AI-powered audit innovations.
- As quantum computing matures and the benefits of artificial intelligence extend to various sectors, Chris Dimitriadis, a veteran in technology and investment, highlights the need for Strategic Scaling and Governance Frameworks, which include collaborative cross-functional efforts to embed strong governance frameworks in quantum computing initiatives and Post-Quantum Cryptography adoption for securing future cryptographic assets.
