The rise of ambient agents: Quiet, capable and always on
Large Language Models (LLMs) have transformed how we interact with information. They’re fast, fluent, and eager to please. But they come with a catch: constant prompting. Clarifications. Instructions.
In many ways, today’s LLMs are like interns, bright, tireless, and keen, but always asking: “What should I do next?” Useful for short tasks, but in operational risk management, where seconds matter and signals never stop flowing, it’s not enough.
Enter the ambient agent
Now imagine that intern after five years of experience. Someone who knows your business, understands thresholds, monitors quietly, and only speaks up when it really matters. That’s an ambient agent. Unlike a standard LLM that waits for instructions, an ambient agent is:
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Context-aware: understands your organisation, SOPs, and risk environment.
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Always on: continuously monitoring feeds, logs, and alerts.
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Low-interruption: only surfaces when thresholds are breached or anomalies appear.
It is the difference between managing a tool and working with a trusted colleague.
Why this matters for security and risk teams
Operational risk is ongoing, threats escalate, lone workers miss check-ins, alarms trigger, and weather or protest feeds light up with potential problems. The sheer volume of alerts makes it nearly impossible to separate the critical from the trivial.
That is where Cal, our governable AI agent for security teams, comes in.
As an ambient, ISO 27001-aligned AI risk management software, Cal:
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Monitors live security environments continuously.
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Detects anomalies and threat thresholds in real time.
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Retrieves and applies the right SOP automatically.
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Notifies the right person at the right time without unnecessary noise.
Instead of constant prompting, Cal delivers quiet, compliant confidence.
From prompting to proactive support
Most current AI deployments rely on prompts: the operator asks; the AI answers. Powerful, but another task in already overloaded environments. Ambient agents flip that model. They do not wait to be told – they anticipate, act, and support in the background.
The future of security operations will mean:
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Fewer prompts.
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More governable agents.
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Smarter, more contextual interventions.
This reduces friction, saves time, and keeps teams focused on what matters: making the right decisions at the right moment.
Signal vs noise: reclaiming attention
CCTV feeds, alarm logs, access control alerts, weather updates, and protest notifications all compete for attention. In that flood of signals, the one anomaly that really matters can be missed.
Ambient agents like Cal solve this problem by filtering relentlessly. They let humans reclaim focus, ensuring that when you are interrupted, it is because something truly demands it.
Human first: AI for risk and compliance
Cal does not replace security teams – it reinforces them.
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Humans provide judgment, leadership, and context.
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Cal provides speed, consistency, and vigilance.
Together, they create faster, safer, and more resilient operations, underpinned by GDPR-compliant AI audit trails and alignment with Martyn’s Law compliance requirements.
The future is safer, not smaller
The fear with automation is always job loss. But with ambient agents, the future of enterprise resilience platforms in the UK looks different. The future of operational risk is not job cuts. It is better, more reliable, safer decisions.
By reducing noise, surfacing only what matters, and evidencing every action, Cal helps security and risk teams move from reactive firefighting to proactive, compliant resilience.
FAQ Ambient Agents
1. What is an ambient AI agent?
An ambient AI agent is software that monitors continuously in the background, only surfacing when thresholds are breached or anomalies appear.
2. How is an ambient agent different from a standard LLM?
Unlike an LLM that waits for prompts, an ambient agent is always on, context-aware, and designed to reduce noise by only alerting when action is required.
3. Why are ambient agents useful for security teams?
Security and risk teams face a flood of CCTV, alarms, and alerts. Ambient agents filter this noise, helping teams focus only on what matters.
4. Does Cal support compliance?
Yes. Cal is ISO 27001 aligned, GDPR aware, and designed to support Martyn’s Law compliance with full audit trails.
5. Will ambient agents replace human operators?
No. Ambient agents reinforce human judgment. Operators remain in control, while the AI provides speed, vigilance, and consistency.
Author bio: Andrew Tollinton
Andrew Tollinton is Co-Founder of SIRV, the UK’s enterprise resilience platform. A leader in risk management technology, he chairs the Institute of Strategic Risk Management’s AI in Risk Management group and regularly speaks on AI and resilience at global conferences. A London Business School alumnus, Andrew brings 20+ years’ experience at the intersection of technology, compliance and security.
"SIRV helped us move beyond basic reporting into a system that actively supports decision-making". Les O'Gorman, Director of Facilities, UCB - Pharma and Life Sciences
