As we ponder the implications of Cybersecurity Awareness Month, it is important to understand this is a new digital era. The cyber threat landscape has rapidly changed. Connectivity, remote work, and edge devices have increased attackers’ opportunities and organizations and governments’ risks. Organizations need to move beyond a reactive stance by using proactive, risk-first strategies that combine people, processes, and technology.

Why Proactivity Matters More Now (AI and Quantum Are on the Cusp)

Leaders must particularly act now, as AI and quantum technologies are changing the threat landscape. Next-generation cyber risk is driven by AI, which scales and automates attacks, and quantum computing, which threatens cryptography. They alter attacker economics, speed, and protection durability.

For offense: AI enables adversaries to automate reconnaissance, create convincing spear-phishing and deepfake campaigns, and discover new exploit chains faster than human teams. AI allows continuous, adaptive campaigns that avoid static defenses and lowers the skill barrier for sophisticated attacks.

For defense: AI tools speed detection, triage, and automated response when combined with quality telemetry, labeled data, and governance to prevent model drift and adversarial manipulation. Companies investing in AI-driven detection and response will gain a significant speed advantage.

If quantum computers reach a certain scale, nation-state actors and criminals may collect encrypted traffic to decrypt it later, putting long-lived secrets like intellectual property, health records, and classified data at risk. Transition planning for quantum-resistant cryptography must begin immediately.

The replacement of cryptographic primitives in cloud services, VPNs, device firmware, and supply-chain components is a multi-year engineering program that requires inventory, prioritization, and vendor coordination. Post-quantum migration should be viewed as a strategic modernization initiative, not a future footnote.

Risk Management—Always a First Step

Many breaches and high-impact intrusions recently have revealed systemic weaknesses in supply chains, OT/IT convergence, and third-party risk, highlighting the limits of passive preparedness. These incidents demonstrate that defenders who delay response are always behind. This also highlights the shift from incident-driven to continuous risk reduction and resilience planning.

Proactive cybersecurity requires strong risk management with a resilience focus. Always assess vulnerabilities, prioritize remediation, and know who accesses data and where. I’ve argued in recent columns that organizations must map data flows, inventory critical assets, and use continuous testing and diagnostics to mitigate gaps before adversaries do. Effective cyber-hygiene measures, such as strong passwords, multifactor authentication, device management, and audits, are crucial but should be integrated into a broader risk framework that includes incident response playbooks and resilience planning. Conducting a cyber vulnerability risk assessment is essential to a proactive cybersecurity commitment. Such assessments should be a top organization priority.

Zero Trust, Defense in Depth, and Security by Design are growing government and industry consensus. Implementing Zero Trust: strict identity and access controls, continuous authentication, and least-privilege enforcement across cloud, on-prem, and OT environments is an operational model, not a product. My recent commentary emphasizes pragmatic Zero Trust adoption, prioritizing high-value assets, identity telemetry, and policy enforcement integration into workflows, rather than a one-time project.

Phishing is still the primary method of initial compromise, boosted by AI-driven social engineering and automated campaigns. Single clicks or compromised credentials often lead to ransomware. My recent articles emphasize two priorities: continuous user education and simulated phishing to raise baseline awareness, and technical controls like email filtering, endpoint detection, robust backups, and isolation strategies to limit the compromise blast radius. Incident response plans must assume ransomware and include tested backup, encryption, and recovery.

Cloud adoption boosts agility but alters security frameworks. Organizations must collaborate with cloud providers to determine who protects what, which data is encrypted, and identity and access governance. My recent analyzes have advised security leaders to treat cloud security as a joint engineering problem: validate provider controls, instrument telemetry, and integrate incident response into cloud architecture reviews. Only when organizations actively manage configuration, encryption, and access does optimized cloud security reduce insider risk and speed detection and response.

One company cannot bear modern cyber risk alone. Public-private partnerships (PPP) contribute to threat intelligence sharing, resilience coordination, and technical assistance for smaller firms lacking in-house capabilities. Agencies like CISA facilitate trusted information exchange and provide technical assistance and assessments to infrastructure owners and operators. PPPs can improve detection, coordinate responses to nation-state activity, and close supply chain gaps.

Advanced adversaries are targeting critical infrastructure. The convergence of OT and IT, legacy systems, and complex vendor ecosystems increase exposure. I have advocated for sector-specific resilience plans, enhanced vendor assurance programs, and mandatory supplier baseline controls. To prevent supply-chain attacks, organizations should require stronger vendor security, validate hardware and software integrity, and use tools like DLP, SIEM, and identity governance to detect abnormal behavior across partner networks.

AI/ML, quantum, and 5G will change offense and defense. AI enhances detection, diagnostics, and self-healing, but adversaries can use it for phishing, exploring new attack paths, and automating exploitation. This calls for a balanced investment to accelerate defensive automation and harden models and data pipelines against manipulation. We recommend piloting AI-enabled security use cases, investing in analytics talent, and considering the long-term effects of quantum on cryptography.

Practical, Prioritized Leadership Cybersecurity Actions:

AI and quantum technologies are real drivers of risk and capability. Efficient post-quantum planning and responsible AI adoption can maintain resilience and provide a competitive security edge.

* Imagine AI being used to kill. Invest in AI-enabled detection, red-team attacks, and phishing simulations.

*Start post-quantum planning now. Prioritize high-value data, inventory cryptographic dependencies, and request vendor roadmaps for post-quantum readiness.

* Govern data and models. Implement model-risk management, including provenance, access controls, adversarial testing, and logging, for AI systems in security and business processes.

* Automate faster with human oversight. Shorten detection-to-response cycles with AI but retain human review for critical decisions and adversarial cases.

*Follow a risk-first approach. Begin with asset and data inventories, then prioritize controls for high-value targets.

*Practice pragmatic Zero Trust. Focus on critical asset identity, segmentation, and continuous authorization.

*Harden humanity. Phishing simulations, continuous training, and timely reporting reduce social engineering success.

*Protect the supply chain. Implement vendor security attestations, third-party risk assessments, and supplier telemetry monitoring.

*Utilize analytics and automation. Use AI to speed detection and response but govern it to prevent misuse.

Proactive cybersecurity is a continuous program of governance, engineering, and partnerships. Businesses that prioritize continuous risk management, Zero Trust, public-private collaboration, and responsible technology adoption are better equipped to maintain business continuity and national resilience. Investing in people, processes, and technology with a risk-first approach in our evolving AI and quantum era is the only sustainable strategy.

For further information and reading, please see:

Infinite Computing: When AI And Quantum Computing Become One

Link: https://www.forbes.com/sites/chuckbrooks/2026/10/08/infinite-computing-when-ai-and-quantum-computing-become-one/

How AI, Quantum, and Space Are Redefining Cybersecurity

Link: https://www.forbes.com/sites/chuckbrooks/2026/01/19/how-ai-and-quantum-and-space-are-redefining-cybersecurity/

AI and Quantum Are Impacting Cyber Risk. Boards and CISOs Must Prepare

Link: https://www.forbes.com/sites/chuckbrooks/2026/07/28/ai-and-quantum-are-impacting-cyber-risk-boards-and-cisos-must-prepare/

AI, Quantum, and the New Cybersecurity Framework Imperative

Link: https://www.forbes.com/sites/chuckbrooks/2026/06/17/ai-quantum-and-the-new-cybersecurity-framework-imperative/