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A Career Built on Curiosity, Discipline, and Trust
Cybersecurity leadership is changing rapidly. The modern CISO is no longer simply the person responsible for firewalls, incident response, vulnerability management, and security tools. Today, security leaders are expected to understand business strategy, quantify risk, communicate with executives, build trusted teams, and increasingly navigate the unpredictable world of artificial intelligence.
Few career journeys illustrate that transformation as clearly as that of Chris Wheeler, CISO at Resilience. His path from the U.S. Navy and information warfare operations to senior cybersecurity leadership at Morgan Stanley and Resilience demonstrates how technical curiosity, military discipline, business understanding, and human relationships can come together to create a modern security leader. The source article, published by SecurityWeek on August 27, 2026, presents Wheeler’s journey and his philosophy around trust, leadership, risk, AI, and resilience.
SecurityWeek
Security Was Part of His DNA
Wheeler’s interest in technology began early. His father worked as a university IT administrator and spent considerable time experimenting with different systems. Wheeler says he inherited that curiosity, creating an early foundation for the career that would eventually lead him into cybersecurity leadership.
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His professional career later included work as a threat researcher and analyst at Efflux Systems and threat analytics manager at Arbor Networks. He joined Resilience as a threat intelligence lead before leaving in 2020 for Morgan Stanley, where he became VP and SOAR lead. Four years later, he returned to Resilience, first as VP of information security and later as its CISO.
SecurityWeek
The Navy Changed More Than His Technical Career
Wheeler joined the U.S. Navy in 2010 and spent six years there. His experience combined traditional naval service with cyber operations, which the Navy referred to at the time as information warfare. That combination exposed him to a very different side of technology: cybersecurity as an operational mission rather than simply an IT function.
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One exercise particularly influenced him. The Navy had to defend its networks against an NSA red team for an entire week. Performance was judged through network availability, detection and removal of attackers, and digital forensics.
Defending Against the Red Team
The exercise represented a miniature version of the modern cybersecurity problem. A security team cannot simply assume that attackers will be blocked. It must detect suspicious activity, maintain operations while under pressure, investigate what happened, and recover quickly.
That philosophy remains highly relevant today. Organizations increasingly understand that cybersecurity is not about creating an impenetrable wall. It is about limiting damage, maintaining visibility, responding quickly, and protecting the systems and information that matter most.
Leadership Came With the Mission
The Navy also taught Wheeler something that would become just as important as his technical experience: leadership.
Military organizations place enormous emphasis on hierarchy, responsibility, teamwork, and mission. Wheeler explains that leaders eventually find themselves responsible for teams, and he was leading a division of approximately 15 sailors relatively early in his career.
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That experience helped establish an important principle that followed him into the commercial cybersecurity world: technical expertise is only one component of leadership.
Leaving the Military Meant Learning a New Language
The commercial world operates differently from the military.
Wheeler discovered that technology moves extremely quickly, enterprise networks are increasingly complicated, and security leaders must understand business priorities as well as technical threats.
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A CISO cannot personally become the
The Modern CISO Builds Specialists
Wheeler’s solution is team-centered leadership.
A strong security leader needs to understand the broader job but must also recognize where specialization is necessary. The CISO should know when to personally intervene, when to delegate, and when to teach others how to solve problems themselves.
This is particularly important as cybersecurity expands into cloud security, identity, threat intelligence, application security, data protection, AI governance, security engineering, and resilience.
Trust Is the Foundation
For Wheeler, trust may be the most important quality a CISO can possess.
Security leaders need business executives to trust their advice. At the same time, CISOs must trust their business counterparts and the security professionals they hired. Without that two-way relationship, cybersecurity becomes isolated from the rest of the organization.
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Trust is also essential during a crisis.
When an incident occurs, employees need to know that the security team will support them rather than immediately searching for someone to blame. Business leaders need confidence that the CISO understands commercial realities. Security professionals need confidence that leadership will stand behind reasonable security decisions.
You Cannot Know Everything
One of
The important skill is therefore not memorizing every security technology or vulnerability. It is knowing what questions to ask and knowing who has the expertise required to answer them.
That is a profound shift in how cybersecurity leadership should be understood. The best CISO may not be the person with the largest collection of technical certifications. The best CISO may be the person who can assemble the right people around a problem and create an environment where those people can succeed.
AI Is Changing Who Can Participate in Security
Generative AI is making this philosophy even more important.
Wheeler argues that AI is democratizing automation. Tasks that once required specialized programming or engineering knowledge can increasingly be approached with AI-assisted tools.
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That does not eliminate the need for experts. Instead, it changes where expertise creates the most value.
Security organizations increasingly need people who can understand technology, experiment with AI, communicate effectively, recognize risks, and adapt to new tools.
Emotional Intelligence Matters More Than Ever
As AI lowers some technical barriers, interpersonal skills become increasingly valuable.
A team that understands how to communicate, collaborate, challenge assumptions, and trust one another can often outperform a collection of technically brilliant individuals who cannot work together.
For CISOs, this means emotional intelligence is moving closer to the center of cybersecurity leadership.
The Career Journey Needs Signposts
Wheeler compares career development to a road journey. Travelers need signposts to avoid getting lost, and professionals need mentors and advice to navigate difficult decisions.
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One piece of philosophical advice particularly influenced him: professionals cannot claim expertise without understanding the mathematics underlying their discipline.
For cybersecurity, that means moving beyond technology and learning how probability, uncertainty, risk, and financial impact interact.
Risk Quantification Is Becoming Essential
A modern CISO must increasingly explain cyber risk in language that business leaders understand.
Executives do not necessarily need a detailed explanation of every technical vulnerability. They need to understand what could happen, how likely it is, what the consequences could be, what controls are available, and how much reducing the risk might cost.
That makes risk quantification an increasingly important cybersecurity skill.
Security Is Not About Achieving Perfection
One of the most important ideas in
Organizations operate under limited budgets, limited personnel, competing business priorities, and constantly changing threats. Even an organization with enormous resources cannot eliminate every possible risk.
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The objective therefore becomes intelligent risk management rather than absolute prevention.
Protect What Matters Most
The job of the CISO is not necessarily to prevent every incident.
Instead, the goal is to reduce attacks against the systems, data, processes, and services that matter most to the business while ensuring that operations can continue and recover when something goes wrong.
This is the heart of cyber resilience.
The Home Lab Still Matters
Wheeler’s practical career advice is refreshingly simple: build a home lab.
Experimentation allows security professionals to understand the technology they are responsible for protecting. A home lab can involve physical hardware, virtual environments, cloud platforms, security tools, automation systems, or AI-based experimentation.
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The deeper lesson is curiosity.
Cybersecurity professionals who stop experimenting risk falling behind a technology landscape that never stops changing.
Empathy Is a Security Capability
Wheeler also emphasizes empathy.
Security teams often have a reputation for saying “no.” But an organization cannot become resilient if security professionals isolate themselves from developers, IT teams, business units, executives, and employees.
Listening to those groups can reveal risks that security dashboards never show.
Relationships Strengthen Resilience
Strong relationships encourage employees and partner teams to share information, report problems, and raise concerns earlier.
That matters because many serious security incidents begin as small warning signs. If employees are afraid of the security team, they may hide mistakes or delay reporting suspicious activity.
Trust can therefore become a practical security control.
Balance Is Part of Cybersecurity Leadership
Wheeler’s advice to his team extends beyond technical skills.
He encourages people to take vacations, spend time with family, pursue hobbies, and maintain personal balance. His reasoning is straightforward: cybersecurity work will still be there, and it is becoming more complicated.
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Burnout is not merely a personal problem. It can become an organizational security problem when exhausted professionals make poor decisions, overlook alerts, or lose the ability to think strategically.
The Storm Ahead Is Agentic AI
Wheeler’s greatest concern is not simply malicious AI.
He is particularly concerned about organizations adopting agentic AI faster than they can secure it. Boards and investors are pushing organizations toward AI adoption while developers and power users are also demanding access to increasingly capable systems.
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This creates a difficult security challenge.
Organizations cannot realistically tell employees to stop using AI. Instead, they need ways to enable it safely.
Secure Enablement Is the New Challenge
Wheeler’s approach is to combine experimentation with guardrails.
Organizations need to understand how AI is actually being used, determine what risks those workflows introduce, and establish controls based on the sensitivity of data and systems involved.
This approach is more realistic than attempting to ban every new AI capability.
Zero Trust Still Sits at the Center
Despite the novelty of agentic AI, Wheeler argues that many of the necessary controls remain rooted in established security principles, particularly zero trust.
His team is increasing investment in identity and access management, data inventory and categorization, and automation.
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That is an important observation because AI security does not exist separately from traditional cybersecurity.
Identity Becomes Even More Important
When AI agents gain the ability to interact with applications, data, APIs, and enterprise systems, identity becomes critical.
Organizations need to know which human, service, application, or agent is performing an action, what permissions it has, and whether that activity is appropriate.
The more autonomous software becomes, the more important identity governance becomes.
Data Visibility Is Another Critical Layer
AI systems can only be governed effectively when organizations understand what data they contain and where sensitive information is stored.
Data classification and inventory therefore become increasingly important as organizations connect AI tools to internal systems.
Without visibility into sensitive information, security teams cannot reliably determine whether an AI workflow creates unacceptable exposure.
Automation Can Become a Force Multiplier
Automation is another major theme in
Security teams already face more alerts, vulnerabilities, identities, applications, cloud resources, and data than humans can manually process.
AI and automation can help security professionals prioritize repetitive tasks and focus human attention on complex decisions.
But automation must itself be governed carefully. Giving an automated system excessive permissions can transform a small mistake into a large incident.
The CISO Is Becoming a Business Strategist
The larger lesson from
The traditional image of a security leader sitting behind technical dashboards is becoming outdated. Modern CISOs increasingly operate between technology, finance, operations, risk management, human resources, legal teams, boards, and executive leadership.
That requires a broader skill set than cybersecurity knowledge alone.
Board-Level Cybersecurity Is Becoming More Important
The source article connects this evolution to the UK’s Cyber Resilience Pledge.
The UK government formally launched its voluntary Cyber Resilience Pledge at 10 Downing Street on July 7, 2026. One of its commitments is to make cyber a board responsibility, alongside actions involving the NCSC’s Early Warning service and Cyber Essentials across supply chains.
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As of August 21, the
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That development reinforces
Deep Analysis: The Future of the CISO in an AI-Driven Enterprise
Trust Is Becoming a Security Control
Trust should not be viewed as a soft concept disconnected from cybersecurity. When employees trust security teams, they are more likely to report suspicious activity, disclose mistakes, and cooperate during incidents.
Cybersecurity Is Moving From Prevention to Resilience
Modern organizations increasingly recognize that attacks cannot always be prevented. The stronger strategy is to reduce the probability of successful attacks while limiting their impact and accelerating recovery.
Agentic AI Changes the Threat Model
Traditional software waits for commands. Agentic systems can potentially interpret objectives, make decisions, call tools, and execute multi-step workflows. That creates new security questions around autonomy and authorization.
Identity Will Become the AI Security Battleground
As AI agents gain access to enterprise resources, organizations will need increasingly sophisticated controls around identity, authentication, authorization, and privilege.
Least Privilege Becomes More Important
An AI agent should not receive broad access simply because it makes automation easier. Permissions should correspond to the specific tasks the agent is expected to perform.
AI Governance Cannot Be Separated From Data Governance
An organization cannot properly secure AI if it does not know what information the AI can access.
Risk Quantification Will Matter More
CISOs will increasingly need to explain AI and cyber risks in financial and operational terms rather than purely technical language.
Security Teams Need Business Awareness
Understanding how the company makes money, serves customers, operates systems, and manages supply chains is becoming essential for security leadership.
Technical Knowledge Still Matters
The evolution toward business-oriented security does not mean technical expertise is obsolete. Instead, technical knowledge allows leaders to ask better questions and challenge assumptions.
Specialization Will Continue
No individual can master every area of modern cybersecurity. Strong teams will continue to depend on specialists in areas such as identity, cloud, application security, detection engineering, AI security, and incident response.
AI Will Democratize Some Security Tasks
Generative AI can allow less-specialized workers to automate certain activities. That may expand the security workforce’s capabilities.
AI Will Not Eliminate Experts
Automation can produce results, but experts are still required to determine whether those results are correct, safe, relevant, and appropriate.
Human Judgment Remains Critical
Cybersecurity frequently involves uncertainty. Automated systems can identify patterns, but humans still need to decide how much risk the organization should accept.
Emotional Intelligence Is a Competitive Advantage
Security leaders who can communicate effectively with engineers and executives can influence decisions before problems become incidents.
Empathy Can Improve Incident Reporting
Employees are more likely to report mistakes when they believe the security team is trying to solve the problem rather than punish the person who discovered it.
Burnout Creates Security Risk
Exhausted security professionals can miss alerts, make poor decisions, and struggle to communicate effectively during crises.
Personal Balance Has Strategic Value
Maintaining healthy boundaries can improve decision-making and help security leaders remain effective during prolonged incidents.
Experimentation Creates Better Defenders
Professionals who experiment with technologies in controlled environments develop a better understanding of how those technologies behave in real-world situations.
Home Labs Remain Relevant
Even in an era dominated by cloud platforms and AI, hands-on experimentation remains an effective way to build intuition.
Zero Trust Is Not Going Away
New technologies may change the threat landscape, but the principle of continuously verifying access remains highly relevant.
Data Classification Is Becoming Foundational
Organizations need to know which information is sensitive before they can decide how AI and automated systems should interact with it.
Automation Needs Guardrails
Automation can reduce workloads, but poorly controlled automation can also increase the scale and speed of mistakes.
CISOs Need Better Communication Skills
The ability to explain complex cyber risks clearly may be just as valuable as knowing the technical details behind them.
Boards Are Becoming More Involved
Government initiatives such as the
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Cybersecurity Is Becoming a Supply-Chain Problem
Organizations are increasingly dependent on vendors, contractors, software providers, cloud services, and partners. A company’s security posture therefore extends beyond its own network.
Resilience Requires Cooperation
No security department can protect a modern organization alone. Developers, executives, employees, suppliers, and security teams must work together.
The Best Security Teams Are Trusted Teams
Technical capability matters, but trust determines whether that capability can be effectively deployed across the organization.
The CISO Must Know When to Lead
Leadership does not mean personally controlling every decision. It means providing direction while allowing specialists to perform their jobs.
The CISO Must Know When to Step Back
Delegation is not weakness. It is one of the mechanisms through which a security organization becomes scalable.
The Future CISO Will Be Multidisciplinary
The strongest leaders will combine cybersecurity, technology, finance, risk, psychology, communication, and business strategy.
Cybersecurity Mathematics Is Really Risk Mathematics
Wheeler’s emphasis on probability, uncertainty, and financial impact reflects the reality that cybersecurity decisions are ultimately decisions about risk.
Perfection Is the Wrong Objective
Security teams cannot eliminate every threat. Their responsibility is to make intelligent decisions about which risks require immediate attention.
The Most Important Asset May Be the Team
Technology can be purchased. People who trust one another, communicate effectively, and understand the mission are much harder to build.
The Bigger Lesson
Wheeler’s career suggests that cybersecurity leadership is ultimately about connecting four forces: technology, security principles, business judgment, and people.
What Undercode Say:
Cybersecurity Leadership Is Changing
Chris Wheeler’s journey offers a useful picture of where the cybersecurity profession is heading. The CISO is no longer simply the organization’s senior security technician.
The Technical CISO Is Not Enough
Technical knowledge remains essential, but
Trust Can Reduce Risk
Trust is not merely a leadership philosophy. It can influence how quickly organizations discover incidents and how effectively teams respond to them.
AI Is Accelerating the Change
Generative and agentic AI are making the transformation faster by allowing employees to automate tasks that previously required specialized technical knowledge.
More Automation Means More Governance
Organizations should not confuse easier automation with safer automation. Greater capability requires stronger controls.
Identity Will Become Central
As humans and AI agents increasingly share access to enterprise systems, identity management will become one of the most important security disciplines.
Data Will Determine AI Risk
The danger of an AI workflow depends heavily on what information it can access and what actions it can perform.
Zero Trust Remains Relevant
The emergence of AI does not make established security principles obsolete. In many cases, it makes them more important.
Risk Quantification Should Become Normal
CISOs who can explain probability, uncertainty, financial exposure, and operational consequences will have greater influence in executive decision-making.
Boards Need Better Cyber Visibility
The
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Security Needs a Business Vocabulary
Executives need to understand what a security decision means for revenue, operations, customers, regulatory exposure, and reputation.
Security Teams Need Empathy
A security organization that constantly blocks employees can eventually encourage workarounds and shadow technology.
Collaboration Beats Isolation
Security works best when it becomes a partner to engineering, IT, finance, legal, operations, and executive teams.
Experimentation Should Be Encouraged
Controlled experimentation gives security professionals a practical understanding of technologies before those technologies become enterprise-wide dependencies.
Home Labs Represent a Bigger Idea
The value of the home lab is not the hardware. It is the mindset of curiosity, experimentation, and continuous learning.
Cybersecurity Professionals Must Keep Learning
Threats, platforms, AI models, cloud services, vulnerabilities, and attack techniques are changing too quickly for static knowledge to remain sufficient.
Leadership Must Scale
A CISO who personally solves every problem will eventually become a bottleneck. A CISO who develops capable specialists creates organizational resilience.
Hiring Criteria Are Changing
Organizations increasingly need people who can learn, adapt, communicate, and use emerging technologies rather than people who only possess a fixed collection of technical credentials.
AI Could Expand the Security Workforce
If used responsibly, AI could help professionals with different backgrounds perform certain security tasks and reduce barriers to entry.
But AI Could Also Expand Attack Surfaces
The same technology that makes defensive automation easier can create new opportunities for attackers and introduce new forms of operational risk.
Agentic AI Deserves Special Attention
Autonomous systems introduce a fundamentally different question: not only what information an AI can see, but what actions it is allowed to take.
Permission Design Will Matter
Organizations should treat AI agents as potentially powerful identities rather than harmless software features.
Resilience Is the Ultimate Objective
A mature security program should be judged not only by how many attacks it blocks but also by how effectively the organization withstands and recovers from incidents.
Security Cannot Guarantee Zero Incidents
No realistic security strategy can promise that an organization will never be breached.
Security Can Improve Business Continuity
The practical objective is to keep critical services operating and restore disrupted systems quickly.
People Remain the Core
Even as automation increases, people remain responsible for setting priorities, interpreting uncertainty, and making difficult decisions.
Burnout Should Be Taken Seriously
A security team operating permanently at maximum intensity will eventually lose effectiveness.
Balance Supports Better Decisions
Rested professionals are better positioned to evaluate ambiguous risks and make measured decisions.
Cybersecurity Is Becoming More Human
Paradoxically, increasing automation may make human skills such as communication, empathy, judgment, and leadership more valuable.
The CISO Is Becoming a Translator
The modern security leader increasingly translates between technical teams and business leadership.
The Navy Lesson Still Applies
Mission, discipline, teamwork, and responsibility remain powerful leadership principles even outside military organizations.
The Future Is Not Technology Alone
The most resilient organizations will combine technology with strong teams, clear governance, risk awareness, and trusted relationships.
Wheeler’s Formula Is Worth Remembering
Technology plus security principles plus business acumen plus empathy provides a useful framework for understanding modern cybersecurity leadership.
The Real Advantage Is Adaptability
The cybersecurity leaders who succeed will not necessarily be those who know everything today. They will be those capable of learning what tomorrow requires.
Accuracy of
✅ Accurate: The source’s description of Chris Wheeler’s cybersecurity career and his role as CISO at Resilience is supported by the published SecurityWeek profile.
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Accuracy of the Cyber Resilience Pledge
✅ Accurate: The UK government’s Cyber Resilience Pledge was formally launched at 10 Downing Street on July 7, 2026, and includes board-level cyber responsibility, Early Warning registration, and supply-chain Cyber Essentials requirements.
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Current Pledge Participation
✅ Accurate and Updated: The source article refers to the July 7 launch, while the latest government list available as of August 21, 2026 records 137 participating organizations.
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Prediction
(+1) CISO Roles Will Become More Strategic: Security leaders are likely to gain greater influence at executive and board levels as cyber risk becomes increasingly tied to financial, operational, regulatory, and reputational outcomes.
(+1) AI Governance Will Become a Core Security Responsibility: As agentic AI moves deeper into enterprise environments, CISOs will increasingly oversee identity, permissions, data access, monitoring, and risk controls for AI-driven workflows.
(+1) Trust and Communication Will Become Competitive Advantages: Organizations with strong relationships between security, engineering, employees, and executives are likely to respond more effectively to emerging threats.
(+1) Risk Quantification Will Become More Important: Security leaders will increasingly be expected to translate technical vulnerabilities into probability, financial exposure, operational disruption, and business impact.
(-1) AI Adoption Without Governance Could Increase Enterprise Risk: Organizations that rapidly deploy autonomous AI without adequate identity, data, and permission controls could create new attack paths and operational vulnerabilities.
(-1) The Skills Gap May Become More Complex: AI can democratize some security tasks, but the demand for professionals capable of validating AI-generated decisions, governing autonomous systems, and managing complex enterprise risk may grow faster than the available talent pool.
The Bigger Picture
Chris Wheeler’s story ultimately demonstrates that cybersecurity leadership is not simply about knowing how attackers operate. It is about understanding people, technology, uncertainty, business priorities, and the consequences of failure.
His journey from Navy information warfare to the C-suite reflects the broader evolution of cybersecurity itself. The industry is moving toward a model in which resilience, trust, risk quantification, AI governance, identity, and human leadership are inseparable.
The next generation of CISOs will therefore need more than technical expertise. They will need curiosity to understand new technologies, discipline to manage risk, empathy to build trusted relationships, and business judgment to decide where security investment matters most.
In an era of increasingly autonomous AI, that combination may prove more valuable than ever.
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