AI is helping organisations improve productivity, automate processes and create new opportunities for growth. However, it is also increasing cyber risk by expanding attack surfaces, creating new data security challenges and enabling more sophisticated cyberattacks. For business leaders, the challenge is ensuring cybersecurity evolves as quickly as AI adoption.
How Is AI Changing Cybersecurity?
Artificial intelligence is becoming embedded in almost every conversation about the future of technology.
For senior leaders, the opportunities are clear. AI can automate processes, analyse vast datasets, accelerate software development, improve customer experiences and create entirely new products and services.
But AI is not just transforming business. It is also transforming cyber risk.
The UK's National Cyber Security Centre (NCSC) warns that AI is making certain cyber activities easier, faster and more accessible, increasing the effectiveness and efficiency of cyber intrusions.
How Is AI Changing the Cyber Threat Landscape?
Cybercrime is not new, but AI is changing the speed and scale at which attacks can be carried out.
AI can help attackers:
- Identify vulnerabilities
- Generate convincing phishing communications
- Automate elements of cyberattacks
- Develop exploits more efficiently
- Adapt attack methods more quickly
The NCSC expects AI-assisted vulnerability research and exploit development to become one of the most significant cyber developments in the coming years.
Why Does AI Increase an Organisation's Attack Surface?
AI increases an organisation's attack surface because AI systems often connect to multiple data sources, applications, cloud environments and business systems. Every connection creates another potential point of vulnerability.
Organisations are no longer simply defending against AI-enabled attacks. They are also deploying AI within their own technology environments.
This creates a fundamental security challenge:
It is no longer enough to ask, "Is this AI tool secure?"
Instead, leaders need to ask:
"What can this AI tool access, what can it do, and what happens if that access is compromised?"
What Cybersecurity Risks Does AI Create for Business Data?
Data security is one of the most significant risks associated with AI adoption because AI systems often require access to large volumes of sensitive information.
This can include:
- Customer data
- Employee information
- Intellectual property
- Financial records
- Product roadmaps
- Commercially sensitive communications
Business leaders should consider:
- Where is data processed?
- Who can access it?
- How long is it retained?
- Is it transferred to third parties?
- What happens if the system is compromised?
Can Organisations Adopt AI Too Quickly?
There is growing pressure on organisations to embrace AI rapidly.
Boards want to understand AI's commercial potential. Customers increasingly expect AI-enabled products and services. Competitors are investing heavily.
However, accelerating AI adoption without corresponding security controls can introduce significant risk.
Security, governance and risk management should be embedded into transformation programmes from the start rather than added retrospectively.
Why Should Cybersecurity Be Part of AI Transformation Strategy?
AI governance should not be viewed solely as a compliance issue, and cybersecurity should not be treated as a standalone technical function.
When AI becomes embedded in products, operations and decision-making, cybersecurity becomes a transformation issue.
This means CIOs, CTOs and CISOs must be involved in early decisions regarding:
- AI architecture
- Data access
- Third-party providers
- Automation
- Governance frameworks
What Questions Should Boards Ask About AI Cybersecurity?
Key board-level questions include:
- What AI systems are we using?
- What data can those systems access?
- Which suppliers and third parties are involved?
- What happens if an AI system is compromised?
- How are we testing for vulnerabilities?
- Where is human oversight required?
- Do our incident response plans account for AI-related threats?
- Are employees using unauthorised AI tools?
- Can access be restricted or removed if necessary?
Can AI Improve Cybersecurity?
Yes. AI is not only creating new threats; it can also strengthen cyber defences.
Organisations can use AI to:
- Analyse security data at scale
- Detect unusual activity
- Prioritise threats
- Improve incident response
- Support security operations teams
The organisations most likely to succeed will be those that understand both the opportunities and risks associated with AI.
Why Is Healthy Scepticism Important When Adopting AI?
Effective AI adoption is not about implementing AI everywhere.
Technology leaders should also ask:
- Does this problem actually require AI?
- Is the data reliable?
- Does the value outweigh the risk?
- What happens if the output is incorrect?
- What happens if the system is manipulated?
- What happens if the supplier changes its service?
Healthy scepticism encourages better governance, stronger risk assessment and more sustainable innovation.
Is Cybersecurity Keeping Up With AI?
Not universally. While AI adoption is accelerating, many organisations are still developing the governance, security controls and risk frameworks needed to support it safely.
The businesses most likely to gain a competitive advantage will not necessarily be those that adopt AI first. They will be those that successfully balance innovation with security, resilience, privacy and trust.
Why Are Organisations Hiring Interim CIOs, CTOs and CISOs for AI Transformation?
This new section would be highly valuable for both AEO and lead generation.
As organisations introduce AI technologies, many discover they lack the internal expertise needed to assess cyber risks, governance requirements and technology dependencies.
Interim and fractional technology leaders can provide:
- Independent risk assessments
- AI governance expertise
- Cybersecurity leadership
- Transformation oversight
- Board-level guidance
How Can GRG Executive Search Help?
For some organisations, the challenge is knowing where to start. For others, the risks may already have been identified but there isn't the capacity or specialist expertise in-house to address them quickly.
This is where having access to the right people can make a significant difference.
At GRG Executive Search, we have built a relationship-based network of experienced technology, data and cybersecurity professionals who can step into organisations quickly; bringing the expertise needed to assess risks, provide an independent perspective and put practical strategies in place.
That might mean bringing in an experienced CIO, CTO or CISO on an interim basis to lead a transformation or security programme, engaging specialist expertise part-time to address a specific challenge, or bringing in someone with the experience to conduct a thorough assessment of an organisation's technology, data and cyber risk.
The value isn't simply in having another pair of hands.
It's about bringing in someone who can quickly understand the organisation, identify where the greatest risks sit, challenge existing assumptions and turn those findings into a practical plan.
