The Growing Impact of AI and Quantum on Cybersecurity — and How CNS Risk Is Preparing for Tomorrow

In his July 31, 2025 Forbes article, Chuck Brooks explores how the simultaneous rise of artificial intelligence and quantum computing is reshaping the threat landscape—and why organizations must evolve to stay secure.

Key Insights from the Article

AI as both weapon and shield

AI is increasingly central to defending against cyberattacks—automating threat detection, behavioral analysis, and rapid incident response. Yet attackers also harness AI to build polymorphic malware, hyper-targeted phishing, and deepfake-based social engineering campaigns.

Threat actors adopt agentic capabilities

Autonomous or agentic AI systems can plan and execute attacks at unprecedented speed, amplifying risks across all sectors.

Quantum’s looming threat

Quantum computers threaten to break today’s encryption algorithms. ‘Q‑Day’ —the moment quantum machines can override RSA or ECC—might arrive within 5 to 10+ years. Sensitive data stolen today could be cracked in the future (‘harvest now, decrypt later’).

Quantum‑resistant cryptography & AI integration

Standards for post‑quantum cryptography (PQC) are already being adopted, and mixing AI/ML with PQC helps build adaptive, future‑ready cybersecurity systems.

Emerging trends & governance recommendations

Looking forward, defense strategies will emphasize generative AI for attack simulation, AI‑driven zero‑trust architectures, federated learning, explainable and auditable AI, cross‑sector collaboration, and workforce upskilling.

Why CNS Risk Matters: Present & Future-Ready Protection

At CNS Risk, we’re not just responding to today’s cyber‑threats—we’re supplying state-of-the-art Intelligence Led Solutions. 

• AI‑driven, proactive defense: Leveraging machine learning and agentic AI to detect anomalies instantly, automate responses, and mitigate attacks before they escalate.
• Quantum‑resilience at scale: Preparing clients for Q‑Day through early adoption of post‑quantum cryptography, hybrid encryption models, and ongoing integration of PQC into existing infrastructure.
• Strategic frameworks and collaboration: Employing forward‑looking frameworks—similar to QUASAR and STL‑QCRYPTO—to create resilient, measurable roadmaps that align with evolving standards.
• Holistic ecosystem engagement: Collaborating with industry peers, regulators, and clients to share intelligence, co‑develop best practices, and embed “secure‑by‑design” principles throughout the ecosystem.

Why It Matters Now

Brooks concludes that the convergence of AI and quantum computing demands immediate, coordinated action. For CNS Risk, that means moving beyond reactive strategies—embedding AI-driven defenses, quantum-resilient architecture, and long-term threat forecasting into everything we do.

By combining cutting-edge AI, post-quantum cryptography, and strategic foresight, CNS Risk is equipping organizations not just to survive—but to lead securely in the era ahead.

Original Author: Chuck Brooks
Article: The Growing Impact of AI and Quantum on Cybersecurity (Forbes, July 31, 2025)