Will AI Replace cybersecurity risk manager?

Cybersecurity risk manager roles will not be replaced by AI, but will be significantly transformed. With an AI Disruption Score of 60/100, this occupation faces moderate-to-high automation pressure on routine technical tasks, while strategic risk governance and stakeholder engagement remain firmly human-controlled. The role is evolving toward higher-level analysis and decision-making rather than displacement.

What Does a cybersecurity risk manager Do?

Cybersecurity risk managers are responsible for identifying, analyzing, assessing, and mitigating cybersecurity risks across ICT infrastructures, systems, and services. Their core functions include planning comprehensive risk analyses, implementing risk treatment strategies, and communicating findings to organizational stakeholders. They establish risk management frameworks, estimate potential impact of threats, and oversee the execution of mitigation plans to protect critical digital assets and infrastructure from evolving cyber threats.

How AI Is Changing This Role

The 60/100 disruption score reflects a bifurcated impact pattern. Routine technical implementation tasks—particularly domain name service configuration, anti-virus deployment, cloud monitoring, ticketing system usage, and backup/recovery procedures—face high automation risk (Task Automation Proxy: 63.77/100). These operational responsibilities are increasingly handled by AI-driven security tools and automated compliance systems. However, the resilience of higher-order skills tells a different story: internet governance, stakeholder engagement, decision support systems architecture, and security engineering design remain deeply human domains requiring judgment, accountability, and contextual understanding. The AI Complementarity score of 72.59/100 is notably high, indicating substantial opportunity for role enhancement rather than replacement. Near-term: administrative and monitoring tasks will be automated, requiring skill-shifting toward risk strategy and governance. Long-term: the role consolidates around exception-handling, board-level risk communication, and architectural decision-making—areas where human accountability and strategic thinking cannot be delegated to machines.

Key Takeaways

  • Cybersecurity risk managers will not be replaced, but job descriptions will shift away from hands-on technical implementation toward strategic risk governance and executive communication.
  • Vulnerable technical skills (DNS, anti-virus, monitoring tools, backup systems) are already being automated—upskilling in risk frameworks and stakeholder engagement is essential for career resilience.
  • Resilient skills include internet governance, decision support architecture, and security engineering design—these remain human-dependent and increasingly valuable in an AI-augmented environment.
  • AI tools will enhance rather than displace this role, creating opportunity for cybersecurity risk managers who adopt AI-powered analytics for faster threat assessment and risk modeling.
  • The 72.59/100 AI Complementarity score indicates strong potential for role expansion if professionals position themselves as AI supervisors and governance architects rather than tool operators.

NestorBot's AI Disruption Score is calculated using a 3-factor model based on the ESCO skill taxonomy: skill vulnerability to automation, task automation proxy, and AI complementarity.

Nestorbot
60/ 1000100High Risk

cybersecurity risk manager

Cybersecurity risk managers identify, analyse, assess, estimate and mitigate cybersecurity-related risks of ICT infrastructures such as systems or services. They manage these aspects by planning risk analysis, applying, reporting, assessing, communicating, and treating them. They establish a risk management strategy for the organisation and ensure that risks remain at an acceptable level for the organisation by selecting mitigation actions and controls.

ISCO 2529Explore this role
57
Skill Vulnerability
Impact: Now
64
Task Automation
Impact: 1–3 years
73
AI Enhancement
Impact: 5+ years

How AI Will Change This Role

Expected Impact Timeline

Near-term (1-3 years)

AI tools can already take over many routine tasks in roles with this score. Early adopters gain a productivity edge.

Mid-term (3-7 years)

Significant task automation expected. Role will evolve — fewer positions, higher skill requirements.

Long-term (7-15 years)

Role substantially transformed. Remaining positions require AI management skills + deep domain expertise.

Tasks Most Likely to Be Automated

  • ⚠domain name service
  • ⚠implement anti-virus software
  • ⚠cloud monitoring and reporting
  • ⚠use ICT ticketing system

Tasks That Will Remain Human

  • ✔internet governance
  • ✔engage with stakeholders
  • ✔decision support systems
  • ✔security engineering

Skills to Develop for AI Resilience

develop with cloud servicesattack vectorssolve ICT system problemsICT network security riskscyber attack counter-measures

Most Vulnerable Skills

domain name service88%
domain name serviceNaming database which maps internet domain names to Internet Protocol (IP) addresses. The Domain Name System allows internet users to utilise names such as website titles instead of remembering numeri...
implement anti-virus software85%
implement anti-virus softwareDownload, install and update software to prevent, detect and remove malicious software, such as computer viruses.
cloud monitoring and reporting82%
cloud monitoring and reportingThe metrics and alarms utilizing cloud monitoring services, in particular performance and availability metrics.
use ICT ticketing system78%
use ICT ticketing systemUtilise a specialised system to track registration, processing and resolution of issues in an organisation by assigning each of these issues a ticket, registering inputs from involved persons, trackin...
use back-up and recovery tools78%
use back-up and recovery toolsUse tools which allow users to copy and archive computer software, configurations and data and recover them in case of loss.

Exposure

Most Resilient Skills

internet governance28%
internet governanceThe principles, regulations, norms and programs that shape the evolution and use of internet, such as internet domain names management, registries and registrars, according to ICANN/IANA regulations a...
engage with stakeholders32%
engage with stakeholdersUse a variety of processes that result in mutually negotiated agreements, shared understandings and consensus building. Build partnerships within the work context.
decision support systems35%
decision support systemsThe ICT systems that can be used to support business or organisational decision making.
security engineering38%
security engineeringInterdisciplinary field of study that focuses on the realisation of secure systems and the technology to protect individuals or information from malice, errors, or unauthorized access. It involves def...
communicate with stakeholders38%
communicate with stakeholdersFacilitate communication between organisations and interested third parties such as suppliers, distributors, shareholders and other stakeholders in order to inform them of the organisation and its obj...

Exposure

AI-Enhanced Skills

develop with cloud services85%
develop with cloud servicesWrite code that interacts with cloud services by using APIs, SDKs, and cloud CLI. Write code for serverless applications, translate functional requirements into application design, implement applicati...
attack vectors82%
attack vectorsPaths or methods that threat actors use to exploit vulnerabilities in information networks or systems from a concrete organisation and impact its availability, integrity and confidentiality. Attack ve...
solve ICT system problems81%
solve ICT system problemsIdentify potential component malfunctions. Monitor, document and communicate about incidents. Deploy appropriate resources with minimal outage and deploy appropriate diagnostic tools.
ICT network security risks80%
ICT network security risksThe security risk factors, such as hardware and software components, devices, interfaces and policies in ICT networks, risk assessment techniques that can be applied to assess the severity and the con...
cyber attack counter-measures80%
cyber attack counter-measuresMethods, technologies and techniques used to defend (detect, monitor and recover) against cyber attacks. These cyber attacks include several attack vectors such as malware, denial of service (DoS) att...

AI Boost

Safer Adjacent Roles

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telecommunications engineer-11 points lower risk
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Career Pivot Options

Alternative career directions with lower AI disruption risk. These roles require different skills but offer more resilience to automation.

powertrain engineer-30 points lower risk
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radio technician-24 points lower risk
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manufacturing manager-23 points lower risk
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security alarm technician-17 points lower risk
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telecommunications equipment maintainer-17 points lower risk
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How will AI change your job?

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What You Should Do Next

1

Assess your current skills against AI-resilient competencies

2

Start building skills in areas AI cannot easily replicate

3

Consider adjacent roles with lower disruption risk

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How AI Can Help You in This Role

AI disruption isn't all negative. Here's how AI can make this role more rewarding:

Productivity Boost

AI tools can automate repetitive tasks, freeing you to focus on higher-value strategic and creative work.

New Specialisations

As AI transforms this field, entirely new roles and career paths are emerging that combine domain expertise with AI fluency.

Higher Market Value

Professionals who can leverage AI effectively in this role command premium compensation and are in growing demand.

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