AI is starting to change how the SOC operates, but the harder question is where autonomy should stop.
In this Security Edge session, William MacMillan, Chief Product Officer of Andesite and former CISO at the CIA and former SVP of InfoSec at Salesforce, examined how security leaders are weighing speed, risk, and oversight as AI moves from experimentation into operational use.
His view was that AI can reduce workload and improve response speed, but high consequence decisions still need human control.
Key takeaways:
- AI is creating the most near term value in the SOC by accelerating analyst workflows and reducing manual effort, not by replacing human decision making.
- Human oversight still matters most in high consequence decisions, even as AI takes on more observation, triage, and context building work.
- Data discipline, cross functional collaboration, and strong fundamentals remain the conditions for safe and useful AI adoption in security operations.
Calm leadership matters most when pressure spikes
William framed security leadership through moments of pressure, where speed matters but poor communication can make incidents worse.
He reflected on stepping into the CIA CISO role as the SolarWinds breach unfolded, drawing on earlier experiences in war zone conditions and major cyber incidents.
Those environments reinforced the value of composure, early stakeholder engagement, and clear communication across technical and non technical groups.
His point was that strong leadership in cyber incidents depends on judgment under pressure.
Teams move faster when leaders create room for input, keep people aligned, and translate complexity into decisions the wider organisation can act on.
AI in the SOC is moving into live use, but autonomy still has limits
William argued that the market had moved past passive interest.
Organisations were no longer only exploring AI for security operations.
They were making platform choices, running proofs of value, and starting deployment decisions. Even so, adoption remained cautious.
The shift underway was practical rather than reckless.
He also pushed back on the idea of a fully autonomous SOC.
AI can already improve speed and reduce analyst burden, especially in observation and orientation work such as data processing, context building, and triage.
But decision and action stages still carry too much risk to hand over fully.
His model kept humans firmly in control, with AI supporting the work rather than replacing security judgment.
The near term gains are in speed, efficiency, and analyst leverage
William saw the strongest immediate value in using AI to compress time and remove repetitive effort.
He pointed to data correlation, threat triage, and workflow support as areas where security teams could get measurable gains without introducing unnecessary exposure.
In that model, AI helps analysts work faster and at greater scale, rather than reducing headcount or stripping away expertise.
He argued that organisations should keep their people in play and use AI to raise the output of the team already on the field.
The case for AI in the SOC was therefore less about autonomy for its own sake and more about practical uplift in speed and capability.
Data quality and collaboration will decide how far AI can go
William also made clear that AI outcomes in security depend heavily on data discipline and cross functional alignment.
Poor data quality and organizational silos weaken both cyber performance and AI usefulness.
He described cyber security as fundamentally a data problem, which made collaboration between CISOs and Chief Data Officers increasingly important.
He also pointed to AI’s role in identifying redundant data and improving efficiency, but the broader message was structural.
AI in the SOC will only scale well when the underlying data environment is reliable enough to support it and when security leaders are working closely with the rest of the digital leadership team.
New threats require urgency, but not panic
William closed on the pace of emerging risk, including AI driven vulnerability discovery and quantum related threats such as harvest now, decrypt later.
He treated both as serious, but rejected panic as a useful response. Leaders still needed to focus on fundamentals, especially identity, visibility, and control, while starting with the data and systems that mattered most.
That approach kept the conversation grounded. New risks were accelerating, but resilience still depended on disciplined execution rather than hype driven reactions.