Arriving with ready-made answers can erode trust before a leader understands how the organisation actually works.
In an interview at Security Edge, Security Operations Manager Kunal Makwana joins ADAPT’s Head of Analytics & Insights Gabby Fredkin to discuss why effective leadership requires restraint.
Listening first helps leaders understand the organisation, make complexity usable and keep accountability with the people making business decisions.
Key takeaways:
- Listen and observe before setting expectations or importing assumptions from a previous organisation.
- Standardisation begins with a shared understanding of how recurring problems should be addressed.
- AI can support decisions and productivity, while accountability remains with the people and business applying it.
Listening earns the right to set priorities
New leaders often arrive with experience, established methods and an early view of what should change.
Those assumptions can obscure how the organisation’s processes, technology, culture and relationships shape the problem.
Similar security challenges may require different responses across different businesses.
Kunal compares joining an organisation to entering a new family.
A leader must understand how people communicate, how decisions are made and where their contribution will be useful before trying to change the dynamic.
That period of observation helps identify the right priorities and prevents people from being treated as extensions of teams from a previous role.
It also builds the credibility required to introduce change later.
Shared understanding makes security repeatable
Standardisation creates value when people agree on the right way to address a recurring problem.
Kunal compares this to knowing where the light switch is.
Everyone understands the direction and expected outcome, even while the supporting process, documentation or technology continues to develop.
This shared understanding matters in security, where fragmented approaches can create duplicated effort, inconsistent controls and blind spots.
Once teams agree on the desired way of working, leaders can determine which people, processes and technologies will make it repeatable across the organisation.
AI can support decisions without owning them
AI creates value when it addresses a defined business problem within agreed boundaries.
Kunal sees a role for targeted, purpose-built models supported by clear governance around sensitive data, access and the actions AI can take.
Trusted advisers can help business teams understand those boundaries and apply the technology appropriately.
The same principle applies when AI supports security operations or wider business decisions.
It can recommend, automate and accelerate activity.
Accountability remains with the people and business acting on its output.