Global Security Outlook - WEF report

The World Economic Forum (WEF) Global Cybersecurity Outlook 2026 is this year's publication by the World Economic Forum and Accenture. It examines technology through the lens of business, economic, social, and geopolitical perspectives, with a focus on cybersecurity resilience. It reinforces the view that organizational, national, and global success are directly interconnected with cybersecurity. Building resilience in interconnected ecosystems, in conjunction with AI, is both the leading strategy and the execution priority going forward.

AI is here, and it's moving far more quickly than its mainstream interest of just a couple of years ago. It's an accelerator for both the good and the not-so-good. This is the modern competitive advantage era, and organizational access to AI has nearly doubled in just one year.

The report identifies three dominant themes for 2026:

1.        AI is supercharging the cyber arms race

2.        Geopolitics is now a defining cybersecurity factor

3.        Cyber-enabled fraud has become a board-level risk, exceeding ransomware in CEO concern rankings

Cybersecurity is Prime Time

Given the scale and scope AI touches, it has become broader than an IT dilemma — it's now a matter of business resilience, economic stability, and national security. The attack surface is widening, threats are becoming more potent, and the impact is far-reaching.

Insights from the report's survey found:

·      87% identified AI vulnerabilities as the fastest-growing cyber risk

·      A 37% to 64% increase in one year for organizations assessing AI security before deployment

·      77% of organizations now use AI for a cybersecurity function

Previously, AI concerns focused on AI-generated phishing, malware generation and adversarial attacks. Now, AI is viewed as an attack vector, a defensive capability, a governance challenge and a force multiplier for both criminals and defenders alike.

This raises concerns in two primary areas:

·      Data leakage — sensitive information exposure, prompt exploitation, uncontrolled model interactions

·      Agentic AI risks — excessive privileges, autonomous decision-making, prompt injection, accountability gaps, identity proliferation

Geopolitical Domain is the New Frontier

Geopolitics has entered the risk domain due to rising volatility, now outweighing concerns related to disinformation, technology convergence, and natural disasters. As a result, intelligence-driven collaboration, deeper engagement with government agencies, and shared situational awareness are top of mind.

Cybersecurity strategies now factor the following components into organizational risk management plans:

·      Nation-state threats

·      Cyber warfare

·      Sanctions

·      Trade restrictions

·      Digital sovereignty

·      Disinformation campaigns

The emphasis has shifted from viruses and malware to managing:

·      Geopolitical exposure

·      Supplier country risk

·      Sovereign cloud considerations

·      Foreign technology dependencies

·      Critical infrastructure targeting

Cyber Fraud Overtakes Ransomware

Even the most discussed topic — spanning awareness, testing, and incident response efforts has shifted to cyber fraud. These attacks extend beyond the office into personal life, with 73% of respondents reporting they were personally affected by cyber-enabled fraud in 2025. Board-level findings show that CISOs remain most concerned about ransomware, supply chain disruption, and software vulnerability exploitation, while CEOs are more concerned with cyber-enabled fraud/phishing, AI vulnerabilities, and software vulnerability exploitation. Studies also show CISOs focus on technical disruption, ransomware, and operational continuity, while CEOs focus on financial loss, brand damage, fraud, and shareholder impact. As a result, cyber programs that frame risk in technical language will increasingly struggle to resonate with executive leadership.

The Supply Chain Crack Widens

Extending security controls, protections, and assurances beyond company walls builds greater resilience. Effective practices include involving procurement in the process, assessing supplier security maturity, developing joint cyber resilience strategies and recovery exercises, performing ecosystem mapping, and pursuing cyber threat collaboration.

Top concerns fall into three categories:

1.        Inheritance — inability to assure third-party integrity

2.        Visibility — insufficient insight into upstream dependencies

3.        Concentration — dependence on key providers

Given this, the report points to supply chain maturity as low industry-wide.

Objective of the Game is Resilience

It's no longer a question of whether an organization can stop a breach from happening, but how quickly and effectively it can recover. The WEF highlights its Cyber Resilience Compass, with key dimensions including: Leadership, Governance, People & Culture, Business Processes, Technical Systems, Crisis Management and Ecosystem Engagement.

Highly resilient organizations:

1.        Have board ownership

2.        Assess AI before deployment

3.        Include security in procurement

4.        Assess vendor maturity

5.        Conduct ecosystem exercises

6.        Possess sufficient cyber talent

7.        Report strong regulatory alignment

Economic Discipline Underappreciated

The report emphasizes that cyber resilience influences GDP, that supply chain attacks create macroeconomic impacts, and that cyber investment decisions should be treated like business investments. The establishment of the Centre for Cyber Economics (CCE) reflects a growing focus on quantifying cybersecurity as a measurable business value contributor rather than merely a cost center. As a result, cyber resilience is directly tied to the bottom line — business continuity, revenue protection, operational availability, and stakeholder trust.

Skills Shortage is Real

North America, Europe and Central Asia view roughly two-thirds of their cybersecurity workforce as capable, while global readiness sits between 30% and 50%. A direct correlation was identified: organizations lacking cybersecurity talent are dramatically less resilient. The most difficult positions to fill are threat intelligence analyst, DevSecOps engineer, and identity & access management specialist. This reinforces the need for workforce development, automation, managed security services, and AI-assisted operations.

Risk Through 2030

Future-focused risk areas include:

·      AI Agents — autonomous attack execution and autonomous business operations

·      Quantum Computing — acceleration of post-quantum cryptography adoption

·      Autonomous Systems/Robotics — cyber-physical consequences become more immediate

·      Digital Currencies — financial infrastructure becomes increasingly dependent on secure digital assets

·      Space Infrastructure — satellite disruption impacts critical services

·      Undersea Cables — concentration risks around global communications

·      Climate-Driven Cyber Events — natural disasters increasingly intersect with digital systems

Resilience is interconnected across design, architecture, and operations — it is itself an ecosystem. Over the next five years, the winners will be organizations that can simultaneously:

·      Govern AI safely

·      Measure resilience, not just protection

·      Manage third-party ecosystem risk

·      Align cybersecurity to business outcomes

·      Incorporate geopolitical intelligence

·      Prepare for post-quantum and cyber-physical disruption

·      Demonstrate cyber-economic value to boards and executives

Conclusion

The 2026 outlook makes one thing clear: cybersecurity is no longer just a technology conversation but a business, economic and geopolitical one. AI is reshaping the threat landscape as fast as it's reshaping the defense, fraud has overtaken ransomware as the board's top concern, and resilience, not prevention alone, is becoming the measure that matters. Organizations that connect cyber strategy to business outcomes, invest in their people, and treat resilience as a shared responsibility across the ecosystem will be the ones best positioned for what comes next.

AI: Gloves are off with Vulnerabilities & Patching

AI is dramatically accelerating existing vulnerabilities more than AI creating entirely new cyber threats --  a spin on JP Morgan’s Patchmaggedon, July 2026 article. The future challenge for enterprises is the readily available or discovery vulnerabilities and the challenges to vulnerability and asset management, operationalizing governance, secure development practices and incident response at machine speed. Organizations that cannot continuously inventory mobile workforce, prioritize with business imperatives, and recovery will increasingly find itself operating on the wrong side of a rapidly closing risk window. 

 

A technology leader’s challenge that’s unfolding with AI fundamentally changing the cyber risk equation and organizations are struggling to keep pace. The challenge is no longer simply identifying vulnerabilities. AI models are now capable of discovering, validating and in some cases learning on its own to weaponize vulnerabilities. 

A validation of the growing disparity between attacker speed and organizational response, with many attacks now occurring on the same day a vulnerability becomes known is reality. There is symbiotic harmony with vulnerability disclosures continue to increase and remediation timelines seemingly climbing the same. A significant percentage of breaches occur even when patches were already available, highlighting that patch management is increasingly becoming an operational execution problem. A tuned Continuous Threat and Event Management) CTEM approach can prioritize, test and measurable exposure-reduction race.

 

The frontier AI models can identify thousands of previously unknown vulnerabilities, connect seemingly low-risk findings into significant attack paths, and rapidly create exploit techniques. As these capabilities become more broadly available through commercial, open-weight and eventually open-source models, cyber capabilities that were previously limited to nation-state actors will become increasingly accessible to a much wider audience.

 

Particularly suspectable is Operational Technology (OT), industrial control systems, utilities, transportation and other critical infrastructure assets present a unique challenge due to many systems have long life cycles and cannot be easily patched or replaced. Corporate environment may also be constrained with technology debt driven by prioritization delays in equipment and software procurement and meaningful adoption of security practices including effective System Development Life Cycle (SDLC) effectiveness and tooling. Institutionalizing code testing within CI/CD, technology stack and business flows early through production can reconcile some issues or at least reality of asset management and exploit paths.

The risks that previously required significant nation-state resources may become more attainable for a broader range of threat actors. 

 

It highlights a growing dependency risk around open-source software. Most modern applications are assembled using thousands of open-source components and transitive dependencies, many of which are maintained by extremely small teams or even a single volunteer. AI-driven vulnerability discovery is generating findings at a rate that maintainers are unable to remediate, fueling the patch lag. 

 

Speed as much as accuracy matters. Organizations must improve asset and infrastructure visibility, reduce patching timelines, modernize vulnerability management programs, understand software supply chain dependencies, and strengthen incident response capabilities and playbooks. Traditional approaches that rely on periodic patch cycles and manual prioritization will likely prove insufficient in a world where exploitation can occur within hours, no longer days  or months of disclosure. 

 

A clear and successful approach is strengthening the Defense-in-Depth architecture and practices. Layered security controls, both preventative and reactive protection can mitigate exposures and blast radius. This is where time can work in organization’s favor as long as the design for resilience along with simulation have been effectively conducted. Extending this concept into contracts and due diligence inspection of the entire supply chain and third-party providers can pin versions and require explicit upgrades rather than reactively addressing the tsunami of patches.

 

There is also an important counterbalance to the narrative. The same AI capabilities being used to discover vulnerabilities can also be leveraged defensively. Emerging AI-enabled security tools are demonstrating the ability to identify, prioritize and generate fixes for vulnerabilities at scale. Organizations that successfully invest and integrate these capabilities from development to testing environments throughout the remediation tollgates and integrated workflows will likely be better positioned to manage pace of cyber risk.  

Guide to New Graduates Entering the Workforce

From Classroom to Career

Congratulations – you’ve crossed an important milestone. 

A college degree represents more than academic achievement, it signals readiness to contribute in a professional environment where expectations shift from potential to performance.

 

Your first day on the job is not an extension of school but an entry into a results-driven environment. You are now a full participant in the organization, accountable for outcomes, entrusted with responsibility and expected to operate as a professional peer within a structured hierarchy of leadership.

 

From Student to Professional Mindset

College prepared you to learn. Internship provided you a sneak peak at projects and opportunities. The workplace expects you to apply, adapt and deliver.

 

You’ll being to observe that employers prioritize critical thinking and teamwork competencies over just technical knowledge. Moreover, the ability to translate knowledge and communicate business impact will define your trajectory. Early success hinges on three principles:

• Ownership over assignments
• Clarity in communication
• Consistency in execution

 

Learn the Business Before Trying to Change It

In your first 90 days, resist the urge to immediately prove yourself through disruption. Instead, observe how decisions are made and who influences outcomes (rather than titles). Learn and start to understand how your role connects to revenue, cost and risk. 

Building long-term credibility is essential to gaining trust from leadership with is core to success.

 

Align with High Performers

Every organization has a performance spectrum. Your growth will correlate directly with who you learn from and who you’re associated with so choose your influences deliberately. Qualities and performance to seek out are co-workers that deliver consistently under pressure, communicate with clarity and purpose, and demonstrate accountability without prompting.

 

First 10 Habits For Early Career Success

1. Build Trust Quickly – Reliability is your first currency so do what you say, when you say it
2. Ask Insightful Questions – Curiosity signals engagement and accelerates competence
3. Communicate Proactively – Leaders should never be surprised by problems/roadblocks or unaware of your progress including success
4. Seek and Apply Feedback – High performers actively pursue feedback and adapt in real time
5. Invest in Relationships – Careers are built on trust networks not completion of tasks alone
6. Understand the Enterprise – Broaden your perspective beyond your role because context drives better decision making
7. Network with Intent – First impressions matter so approach every interaction as an opportunity to build credibility
8. Find an Advocate – A mentor or ally can accelerate your understanding of both formal and informal dynamics
9. Prepare Beyond Expectations – “Over preparation” was one of my mentor’s guidance and is the foundation of confidence and execution
10. Avoid Perfection Paralysis – Precision matters but decisiveness based on available information is what organizations reward

 

Leadership Starts Now to Maximize Opportunity

Leadership is reflected in behavior rather than titles and is demonstrated by individuals who influence outcomes through accountability and collaboration.

• Taking initiative without being asked
• Owning mistakes and correcting quickly
• Elevating team outcomes over individual recognition

 

Experiences outside your immediate role often provide the fastest path to growth. If given opportunities to travel for the organization, be present, engaged and lean in to the opportunity. Keep in mind that you represent yourself and your organization. Exercise sound judgment, professionalism and awareness. 

With that said, understand operational expectations:

• Follow company policies – account for travel times and vehicle expenses, individual hotel rooms
• Maintain professionalism in all settings – align with work-based activities and refrain from alcoholic beverages  
• Manage expenses responsibly and transparently – administrative overhead but is a reflection of your trustworthiness

 

“Keep your head down” to focus on meaningful contributions but it does not mean staying silent. Speak with purpose when it matters and avoid unnecessary friction. Visibility comes from value, not volume.

 

Enjoy the Journey

This phase of your career allows you to explore new ideas and experience, ability to shape your professional identity and access to individuals that influence your future. 

This may not be your only job but it can absolutely be the one that opens every door that follows. Bring your work ethic, your perspective and your willingness to learn. Contribute with intention, build with discipline and grow with humility.

And above all, recognize the significance of this moment. You’ve earned it.

 

Congratulations! #ProudDad

CISO Insights - Industry Leaders Discussion

Cybersecurity at an Inflection Point: From Risk Control to Business Resilience

We are at a defining moment in cybersecurity. The conversation has fundamentally shifted from discipline focused on protecting applications and infrastructure into something far more consequential: protecting the business itself. Cybersecurity is no longer a back-office function but instead moved to the front line as a critical driver of resilience, trust and competitive advantage. At the same time, the threat landscape is accelerating at a pace that is testing even the most mature defenses. To that end, the velocity of AI is reshaping both attack and defense, deepfakes are eroding our ability to trust what we see/hear and quantum computing is transitioning from theoretical to a tangible future risk we all need to prepare for now. In parallel, the role of the CISO is expanding from technical expert to enterprise risk leader. This is not simply a technological shift, it is a strategic one. The question is no longer, “Are we secure?” but rather, “Are we resilient?” Can we withstand disruption, recover quickly and continue to operate in the face and velocity of uncertainty? This perspective sets the stage for a broader discussion on what cyber leadership, risk and resilience must look like going forward. In these scenarios and environments, success will not be defined by preventing incident but instead clarity of risk, strength of leadership and the ability to recover faster than ever before.

 

1. Cyber Risk & Leadership Transformation
Cybersecurity now sits at the center of business performance. It protects revenue, ensures uptime and mitigates regulatory exposure. Leaders must move beyond technical translation to clearly quantifying financial risk and operational impact. The mandate is straightforward: shift from operator to strategist. Align security to what materially matters to the business and drive decisions based on risk, not noise.

 

2. Outcome-Driven Metrics (ODMs)
Metrics must reflect outcomes, not activity.

Prioritize:

• MTTD / MTTR
• Validated control coverage across critical assets
• Proven recovery capability
• Identity and privilege exposure

Executives do not need vulnerability counts. They need clarity on exposure, resilience and financial impact. Success is measured by risk reduction and recovery readiness not fluctuating volumes.

 

3. Cyber Resilience as the Operating Model
Disruption is no longer hypothetical, it is expected.

Organizations that win:

• Continuously test controls and response
• Execute real-world recovery scenarios
• Operate hot-standby and rapid failover environments

Resilience is the ability to sustain and recover operations under pressure not a backup plan. Comprehensive testing is expected for best outcome consistency and comprehensiveness.

 

4. Artificial Intelligence: Force Multiplier and Threat Accelerator
AI is compressing timelines for both defense and attack. Defensively, it enables scale. And offensively introduces:

• Prompt injection and data leakage
• Model manipulation and poisoning
• Autonomous exploitation capabilities

We have entered an agentic era where AI doesn’t just generate content, it executes attacks. Governance, data control and AI-aligned security investment are no longer optional. Output and results require oversight and governance since outcomes include actions no longer just text reply prompts.

 

5. Securing Emerging Technologies & the Expanding Attack Surface
Innovation is outpacing security and leading through ungoverned adoption. From ambient intelligence to SBOM/XBOM, the risk is not adoption and what’s required is embedded security across the lifecycle:

• Architect for risk upfront
• Validate during deployment
• Continuously monitor in production

At the same time, application-layer risk is widening. Traditional tools SAST, DAST, WAF, EDR might be aligned for traditional environments and threats however, are misaligned to address disruptive technology and new shadow-technology. Security must move closer to the code and operate continuously, not periodically, and embedded at endpoints in integrated network traffic flow.

 

6. Deepfakes, Social Engineering & Trust Exploitation
The next wave of attacks targets people not just systems. Deepfakes, voice cloning and AI-driven impersonation are bypassing traditional controls. These attacks succeed without malware or traditional perimeter or password cracking but instead exploitation of only trust. The most dangerous attacks will look legitimate so mitigation requires:

• Out-of-band verification
• Behavioral analytics
• AI-driven media validation

 

7. The Human Factor: Capacity, Burnout & Focus
Cyber teams are overwhelmed not simply under-resourced since alerts are mistaken for noise instead of actional signals that drive appropriate and immediate actions.

Leaders and practioners alike must operate smarter in a higher-stakes environments and simply not do more e.g., working smarter.

• Ruthlessly prioritize based on business impact
• Reduce manual triage through automation
• Redistribute effort toward high-value activities

 

8. Preparing for the Next Wave: Quantum & the Mythos Era
Look for AI converging with Quantum and the two factors will lead to expansive risk volume and velocity. Quantum risk is a data problem related to encrypted today that will be exposed tomorrow. AI-driven threats are an execution problem in which attacks are faster, cheaper and scalable. We are already seeing:

• Automated vulnerability discovery and exploitation
• Increased targeting of “medium” vulnerabilities
• Shrinking windows to detect and respond

Meanwhile, nearly half of applications bypass security testing entirely. Therefore, the response must be decisive and preparedness is essential to addressing the challenges so it’s not necessarily a tools gap. 

• Shift to continuous exposure visibility
• Prioritize mitigation over identification
• Align defenses to attacker tactics
• Accelerate AI adoption in security operations

 

Leaders’ Perspective from FutureCon Panel

Cybersecurity is no longer about preventing every incident and is that standard is no longer realistic. The organizations that will succeed are those that focus on what truly impacts the business, protect their most critical capabilities and recover faster than disruption can spread. Perfection in prevention is unattainable but resilience is not. In this environment, resilience is ultimately what defines effective leadership.

Adaptive Executive Leadership - Era of Constant Change

Adaptive Executive Is Not Optional Anymore

The traditional model to optimize then protect and stabilize is no longer sufficient. We are operating in an environment where velocity outpaces controls and complexity surpasses structure. The leaders who succeed next will not be the ones with the best frameworks. They will be the ones who adapt fastest without losing clarity.

 

Safety in Honest About What’s Breaking

When centralized control model is breaking, the uncomfortable truth is a good place to start conversations. For decades, the notion of stronger perimeters, tighter governance and centralized decision-making is most effective and can scales. That practice no longer holds in

business when moving faster in a changing world requires appropriate protective philosophy.

What’s emerging instead is a different operating model:

• Decision-making pushed closer to the business
• Centralized visibility replacing centralized control 
• Security embedded and guardrails tailored

An exponentially distributed environment and workforce cannot be centrally governed. 

 

The New Executive Skill To Talks About

Seeking to adapt and finding differentiator is no longer just in-depth technical, operational and regulatory needs. The hardest skill in the executive role today is simplifying complexity without diluting risk.

Boards don’t need another dashboard instead clear and explicit decisions based on tradeoffs.

And yet, many leaders still present risk as implied rather than stated. We smooth over the tension instead of naming it:

• Operations wants resilience
• Legal wants defensibility
• Employees want usability

 

Time for Leadership to Get it Right

Translating what the organization sees into board level visibility is essential for leadership to convey in decision making. 

AI is a clearest example in that many leaders assumed workforce disruption would be gradual.
Instead, we’re watching acceleration quiet, uneven and already embedded in workflows.

Foresight is necessary to address resistance and friction. 

• Business units see productivity shifts earlier
• Operators feel the pressure of capability gaps sooner
• Employees adapt faster than governance models evolve

The signal is clear but the question is whether leadership is listening or ready to point this out even if it doesn’t fit the narrative.

 

The Board Conversation Has Already Changed

There’s a shift happening in boardrooms that many organizations haven’t fully caught up to related to risk reduction vs. risk optimization related to growth and resilience:

Fundamentally different mandate may looks like:

• Accepting more risk in places
• Moving faster than traditional controls would allow
• Prioritizing capability and speed over completeness

This fosters real conversation to act upon deliberately taking on risks to move faster and everyone being aligned to absorbing the tradeoff.

 

Leadership Gap No One Measures

The gap between how you think you’re showing up and how you’re actually experienced two levels down to the core issue most executives underestimate.

Take time to reflect on how you believe you’re driving clarity and decisiveness. Key indicators of practice maturity and mechanisms to measure real time action include:

• Slow decision cycles
• Rework instead of resolution
• Ambiguity in ownership

 

Community is Thee Real Advantage

One of the most valuable aspects of summits isn’t just content but the candor. Executives are navigating the same tensions and no one has solved this in isolation:

• Speed vs .control
• Innovation vs. governance
• AI capability vs. workforce readiness

The C-level community is becoming a critical advantage for pattern recognition that formulate solutions. The ability to collaborate on assumptions across peers, pressure-test decisions and recalibrate faster is now part of leadership itself.

 

Bottom Line

Adaptive leadership is not a soft skill nor a buzzword, it’s the operating requirement of the role.

Real changes require real demands: 

• Let go of legacy assumptions about control
• Assign and explicitly own risk tradeoffs
• Translate complexity into decision clarity
• Listen earlier and act faster
• Close the gap between intent and execution

Perhaps the reality is that organizations that win won’t be the most secure. Instead, they’ll be the most adaptive without losing control of outcomes which is much harder problem.

 

Leadership isn’t being tested by disruption anymore, it’s being redefined by it. A tangential segway from Gartner FL C-Level CISO Executive Summit keynote on Reinventing Leadership in an Era of Constant Change.