AI agent for GSOCs & physical risk / compliance
SIRV Cal is an AI agent that supports GSOCs, physical security and compliance teams with guided actions, joined-up data and audit-ready reporting:
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Built for GSOCs, control rooms and physical risk / compliance teams
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Uses your incidents, SOPs, maps and reports to guide decisions
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Bridges security operations, risk and legal / compliance without losing control
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Designed for governed use in regulated sectors
What is an AI agent for GSOCs and physical risk / compliance?
An AI agent for GSOCs and physical risk / compliance is more than a chatbot. It is a governed software agent that understands your sites, incidents, SOPs and obligations, and supports security and risk teams in day-to-day decisions.
Cal is SIRV’s AI agent. It sits on top of SIRV’s Internal reports and Maps & visualisations, plus your documents and external feeds. It helps GSOC operators, physical security leads and compliance teams answer “what happens next”, “what have we missed” and “how do we evidence this” using the same data, with a full audit trail.
Why GSOCs and physical risk teams need an AI layer
Most organisations have invested heavily in systems and people, but there is still a gap between security operations and formal risk / compliance.
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Fragmented systems: VMS, access control, incident logs, visitor systems, HR data and threat intelligence are often siloed.
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Different languages: GSOCs focus on live incidents and response; risk and compliance teams think in controls, obligations and evidence.
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Manual translation: Security events must be translated into risk registers, reports and board papers by hand.
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Blind spots: Repeat locations, near-misses and weak controls are hard to see early.
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Generic AI risk: Uncontrolled AI tools raise questions about data residency, privilege, and whether outputs match policies and law.
An AI agent is needed to sit between these worlds, not to replace them.
How SIRV and Cal bridge GSOCs, physical risk and compliance
SIRV centralises security incidents, maps and internal reports. Cal acts as the AI agent on top, guiding actions and translating operational reality into risk and compliance language.
For GSOC and security operations
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Natural-language interface to incidents, SOPs and live context
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Suggested next actions aligned to your playbooks and contracts
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Drafted incident logs, handovers and briefings for supervisors
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Faster identification of patterns and hotspots across sites
For physical risk and compliance
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Structured outputs that map incidents to risks and controls
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Summaries that support due diligence, audits and regulatory reporting
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Visibility of where SOPs are followed or ignored
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Clear evidence of control operation over time
Key use cases for an AI agent in GSOCs and physical risk
SIRV centralises security incidents, maps and internal reports. Cal acts as the AI agent on top, guiding actions and translating operational reality into risk and compliance language.
GSOC incident triage and tasking
Operators describe what is happening; Cal retrieves similar incidents, relevant SOPs and dependencies.
The agent suggests steps, checks notification lists and logs decisions.
Output: Consistent triage, fewer missed steps, faster tasking.
Risk and control mapping
Cal aggregates incidents and near-misses and maps them to your risk categories and control framework.
Risk and compliance teams can ask: “What physical security evidence supports this control?” and get a structured answer.
Output: Traceable linkage from events to risk posture.
For GSOC and security operations
Cal answers operator questions using your SOPs and standards, not generic web data.
Conflicting or out-of-date documents are flagged for review.
Output: Reduced variance between shifts and sites; easier to prove that SOPs are being followed.
Policy, legal and regulatory support
Cal uses your policies and relevant laws (e.g. internal guidance on bribery, fraud, economic crime, Martyn’s Law where relevant) to contextualise incidents.
It highlights where incidents may have regulatory impacts or disclosure obligations.
Output: Fewer surprises for legal and compliance; better prepared investigations.
Workplace violence, theft and insider risk
Security incidents linked to people, locations and patterns (e.g. repeat offenders, repeat triggers).
Cal highlights hotspots and suggests preventative actions aligned with HR and legal boundaries.
Output: Clearer view of emerging physical risks and supporting evidence for interventions.
Board and regulator-ready reporting
Cal summarises trends, outliers and major events into briefing notes.
Outputs can be used for board packs, regulator updates and client reporting.
Output: Less time spent re-packaging operational detail; more time interpreting it.
What organisations achieve with an AI agent for GSOCs and physical risk
Faster, cleaner reporting
Significant reductions in time to produce usable incident and risk reports, as Cal drafts structured content from existing data.
Stronger compliance posture
Every AI-assisted decision is logged, sourced and auditable, making it easier to evidence control operation and respond to questions from regulators and clients.
Better visibility of physical risk
Patterns across sites, shifts and departments become visible quickly, enabling earlier interventions and targeted controls.
More trusted use of AI
Security, risk and compliance share one governed AI agent instead of disconnected experiments in different teams.
Having worked with SIRV for a number of years it’s always reassuring to know the expertise and technical knowledge they have can help Aon with new projects and continued support with existing applications we use.
Declan Keogh | Senior Health, Safety and Wellbeing Advisor | Corporate Real Estate | Aon
Governance & architecture
Governed by design for security, risk and compliance
Data boudary
Cal operates within SIRV’s governed environment and agreed data scope.
Traceability
Every answer links back to specific incidents, SOPs, reports and documents.
Role-based access
Different views and permissions for GSOC operators, security managers, risk and compliance.
Configurable memory
Clear policies on retention, redaction and what the agent is allowed to “remember”.
Integration friendly
Connects to existing security and risk systems through APIs, subject to security review.
Sectors and scenarios – where this AI agent model is used
Tie into your existing sectors and typical GSOC contexts:
Pharma and life sciences
Campuses and labs where physical security and compliance must be aligned.
Corporate, financial services and property
GSOCs managing multi-country building portfolios with strict client and regulatory expectations.
Transport and infrastructure
Rail, metro and hub-and-spoke estates with centralised security oversight.
Retail and public spaces
Shopping centres and multi-site portfolios with workplace violence and crowd management risk.
Across these sectors, organisations start with one priority use case and expand once governance, performance and value are proven.
Start a 4-week AI agent sprint for your GSOC
A 4-week sprint is the safest way to introduce an AI agent into your GSOC and physical risk function. Together we define the scope, choose 1–2 high-value use cases, and deploy Cal within an agreed data boundary.
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Scoped around one GSOC or security operations centre
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Uses your existing incidents, reports and SOPs
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Clear success measures and recommendations at the end
Frequently asked questions
1. What is SIRV?
SIRV is a platform that helps organisations manage threats and disruption. It brings together incidents, maps and internal reports, and adds an AI agent (Cal) so security, risk and compliance teams share the same operational picture.
2. What is Cal?
Cal is SIRV’s AI agent for GSOCs and physical risk / compliance. It guides operators and risk teams through incidents and decisions using your own data and SOPs, and keeps a full audit trail of what it did and why.
3. How is this different from a generic chatbot?
Generic chatbots are not designed for regulated security and risk environments. Cal works in a defined data boundary, uses your approved content and systems, and produces traceable, auditable outputs.
4. Who uses Cal day to day?
Cal is used by GSOC operators, security managers, physical risk teams and compliance or audit functions. Each group has its own view and permissions, but they share the same underlying facts.
5. What data does Cal need?
Cal typically uses SIRV incidents, internal reports, maps and your key SOPs, plus selected external data sources. You decide what is in scope and how it is governed.
6. How do we start without taking a big risk?
Most organisations begin with a tightly defined sprint: one GSOC, one or two specific use cases, and pre-agreed success measures. Only then do they extend to more teams and sites.
"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
