Cybersecurity entered 2026 under pressure to keep pace with the rapid deployment of AI technologies while laying the foundations for a quantum future.
Security leaders are expected to defend increasingly complex AI and hybrid environments while facing persistent talent shortages, a fast-changing threat landscape and mounting operational pressure.
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Executive Managing Director, Global Head of Cybersecurity Solutions and Services at NTT DATA.
Organizations are also looking forward to the transformational benefits that Quantum computing promises, but it also threatens to undermine the cryptographic foundations that secure today’s digital ecosystem. Meanwhile, cybercriminal operations continue to get more organized, often moving faster than traditional, siloed defenses can adapt.
They are also prepared to play the long game, gaining initial access and remaining undetected within systems for extended periods of time, waiting for the right moment to move laterally and access sensitive data that can disrupt operations, inflict financial strain and damage reputations.
Not to mention the potential impact on society when essential services and critical industries are targeted.
To maintain stakeholder trust and move forward with confidence, organizations need to reset how they think about cyber resilience. That shift requires moving away from reactive, siloed security functions toward proactive, integrated prevention, response and recovery.
Success will depend less on adding new technologies and tools to defend against emerging threats and more on having an unified enterprise-wide visibility of cyber risks for proactive security and risk management and simplifying the complex with an integrated security fabric across people, processes and technology.
The following areas highlight how CISOs and security leaders must evolve their cybersecurity strategy and operations to help shape their planning in 2026 and beyond.
1. The cybersecurity skills ‘gap’ has a systems problem
According to the ISC2’s 2025 Cybersecurity Workforce Study, 69% of respondents reported multiple cybersecurity incidents in their organization due to a skills shortage.
While budget constraints play a role, misalignment between academic training and enterprise demand, combined with the pace of technological change, could be widening the cybersecurity skills gap.
Leaders increasingly expect candidates to arrive ready with in-demand skills, while existing staff are expected to find the time to upskill.
Simultaneously, the arrival of agentic AI is rapidly evolving the cyber threat landscape, creating an urgency for entirely new capabilities in automation, model risk and adversarial AI defense – 41% of respondents flagged AI skills as a priority.
Universities and certifications remain valuable, but courses could take 12-18 months to complete. By the time candidates enter the workforce to fill an identified need, the skills are considered outdated, further widening the gap between talent supply and demand.
Closing this gap requires greater collaboration among policymakers, academics and organizations to steer financial investment into high-demand skills, such as AI and cybersecurity, to deliver more agile courses that better align education with enterprise demand.
Agentic AI, developed for specific roles, like SecOps, would help narrow the cybersecurity skills gap while reducing costs by automating detection, triage, remediation and compliance tasks.
This would dramatically save hours in labor-intensive tasks, increase workflow productivity, and accelerate decision-making, freeing staff to focus on strategic work and skill development.
To unlock AI’s true value, organizations must adopt a secure, scalable approach that balances business, IT and security priorities, with advanced visibility and humans-in-the-loop, to maintain trust and accountability.
Combined with stronger cross-sector collaboration, AI-driven technology can help to strengthen the talent pipeline, accelerate skill development and deliver the skills the sector urgently needs.
2. Vulnerability management needs to move to continuous exposure reduction
As adversaries utilize generative and agentic AI to elevate their tactics, increasing the sophistication, scale and speed of attacks, traditional vulnerability management may no longer be sufficient.
This reactive cycle of periodically scanning, patching and reporting with manual remediation creates delays in response times, only offers basic defense and makes it more challenging to prioritize and innovate in hybrid environments.
Moving toward a Continuous Threat Exposure Management (CTEM) approach provides organizations with real-time visibility of assets and vulnerabilities before they can be exploited.
The effectiveness of CTEM depends on integrated AI-powered risk prioritization and coordinated remediation workflows that span IT and security functions.
This can help reduce the mean time to remediate and shift focus from compliance-driven reporting to measurable risk reduction. In turn, organizations can strengthen resilience and support innovation without increasing their exposure.
3. Modern deepfake detection is now essential to brand trust
Trust has become the new attack vector. From cloning voices to synthetic multimodal impersonation (audio, video, text and images), adversaries are using AI-generated deepfakes to commit fraud and spread disinformation across industries from financial services and government to critical infrastructure.
A single cyberattack could cause major financial, operational and reputational damage.
However, traditional security frameworks were not designed to identify content-based deception, creating a blind spot for security teams.
Whether preventing social engineering attacks or protecting the integrity of digital communications, deepfake detection has become a strategic imperative – requiring modern security strategies and tools to restore trust.
AI-powered defenses, stronger communication protocols and cross-sector threat intelligence can help restore trust and strengthen cyber resilience.
Adaptive deepfake engines that are embedded across identity workflows and incident response would continuously operate and evolve as new impersonation techniques emerge, flagging suspicious content in real-time, triaging alerts and logging incidents with rich metadata for investigation and compliance audit trails.
Organizations need to invest in deepfake detection and response capabilities to safeguard trust and stakeholder confidence.
4. Post-quantum security must become a strategic priority
Quantum computing is moving steadily from theory toward practical application, with significant implications for cybersecurity. Once sufficiently advanced, quantum machines could break widely used public-key cryptographic systems such as RSA.
Adversaries are already pursuing “harvest now, decrypt later” strategies, collecting encrypted data with the expectation of decrypting it in the future.
As a result, the transition to quantum-resistant cryptography is increasingly a board-level issue with the National Institute of Standards and Technology (NIST) having stressed the urgency of adopting post-quantum cryptography (PQC) and mapping quantum-vulnerable assets.
Organizations should begin preparing through phased, crypto-agile strategies that assess cryptographic dependencies, test NIST-selected PQC algorithms and build flexibility into security architectures to support future updates. Early preparation will reduce long-term risk and strengthen business continuity planning.
Summary
Cybersecurity must be reimagined with AI technologies, strong governance and operational discipline and rapid skill and capability development. Enabling proactive security and risk management, improving resilience and building stakeholder trust and confidence.
The organizations best positioned for 2026 and beyond will be those that prioritize unified enterprise-wide visibility and risk reduction, simplify complex cybersecurity stack into integrated security fabric and ensure long-term preparedness in a fast-changing complex threat landscape.
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