Put specialized AI agents to work across the industrial security journey. Raqib connects operational context, compliance evidence and scenario analysis so teams can understand what needs attention, coordinate the next action and build a stronger case for resilience.
Follow the work from industrial context to evidence and scenario analysis. Each stage gives your team a stronger basis for the next decision.SCROLL. EXPLORE. CHANGE THE PERSPECTIVE. ↓
INDUSTRIAL CONTEXT
RAQIB / INTELLIGENCE FIELD
AI AGENTS / CONTEXTReading industrial relationships
01 INDUSTRIAL CONTEXT
Intelligence starts with the operation.
Understand the device. Recognise the dependency.
Connect each PLC, process and operator system to its role in the facility. Raqib gives the analysis an industrial basis: the assets involved, their relationships and the operations they support.
Specialized agents support scoping, evidence planning, assessment and monitoring. Information carries through each stage, so auditors can review findings and owners can act on a clear record of what needs attention.
EXPLORE THE PERSPECTIVE
Connect supporting records with the requirements they help assess.
Connect exposure questions with a path to validation.
Explore potential attack paths and compare proposed improvements in the industrial model. The executable-twin roadmap adds authorized attack-and-defence exercises in an isolated replica, with findings tied to observed results.
EXPLORE THE PERSPECTIVE
Follow a simulated threat as agents evaluate its path and coordinate a modeled response.
Agents support the work. Your experts direct the outcome.
Raqib helps surface relevant context and questions. Priorities, judgment and accountability remain with your team.
01
Intelligence should carry the work forward.
Industrial security involves a sequence of related questions. What needs to be assessed? Which information supports the assessment? What is missing, and who should review the result? Agentic intelligence becomes valuable when it helps teams move between these questions with the relevant context intact.
Raqib uses specialized agent roles across planning, evidence, assessment and review support. Within Digital Twin, agentic analysis helps interpret the represented environment and explore scenarios. Each contribution serves a defined purpose within the wider work your team needs to complete.
02
Two platforms give intelligence an industrial purpose.
In Compliance, the central question is what the available evidence supports and what requires further attention. In Digital Twin, the question concerns the relationships represented in the environment and the implications of a possible change. These are distinct tasks with complementary value.
Consider a proposed security improvement. The twin helps examine the modeled consequences, while the compliance perspective helps frame relevant requirements, supporting records and review responsibilities. Bringing those perspectives into the same decision helps teams connect technical reasoning with organizational assurance.
03
Human expertise gives the analysis its direction.
An AI-supported recommendation needs a clear basis and a responsible reviewer. Your specialists judge relevance, challenge assumptions and decide which actions to authorize. Raqib’s value is in supporting that judgment with better-connected information and a clearer understanding of the outstanding work.
Responsible information handling is part of this approach. Roles and permissions govern access, organizational data separation maintains distinct contexts, and activity records support accountability. These safeguards sit alongside human review so that the use of AI remains connected to the people responsible for the outcome.
SPECIALIST INTELLIGENCE. SHARED DIRECTION.
The right intelligence for every stage.
Raqib brings purpose to agentic AI. Different stages call for different work: understanding context, organising evidence, supporting assessment and examining scenarios. The result is a more connected basis for expert action.
01Context
02Evidence
03Scenarios
04Expert decision
Specialised agent roles, connected through industrial context and human oversight.
01
Compliance agents bring structure
From scoping and evidence planning to assessment support and ongoing monitoring, agents help keep the compliance journey connected.
02
Twin intelligence adds a testing perspective
Model-based analysis helps focus exposure questions. The executable-twin vision adds scoped attack-and-defence exercises to examine proposed improvements.
03
Your people direct the outcome
Auditors judge evidence. Owners coordinate follow-through. Security and OT teams set priorities and authorise the work within their remit.
Industrial security requires several kinds of reasoning: interpreting an obligation, examining evidence, understanding a dependency and weighing a proposed response. Raqib brings specialized AI agents into these different tasks, helping teams carry context from one decision to the next.
01
For compliance teams
Connect the meaning of a requirement with the material that supports it and the questions still open for review. Keep attention on readiness as work progresses.
02
For security and OT teams
Relate a technical concern to the assets, connections and industrial functions around it. Use that context to select the scenarios and improvements worth examining.
03
For decision-makers
See the basis for a recommendation alongside its implications. Make priorities easier to explain across engineering, assurance and leadership.
IN PRACTICE
One concern, more than one perspective
A question about access to an industrial system may need both a compliance review and a closer look at the connected environment. The Compliance Platform helps examine the supporting evidence; Digital Twin helps explore the modeled relationships. Agentic intelligence supports each perspective while specialists decide what the organization should do.
A CLEARER UNDERSTANDING
The questions worth asking.
What makes Raqib agentic?+
The product uses specialized AI agent roles across related stages of work, including interpretation, evidence analysis and recommendations. Their purpose is to advance a defined task with relevant context and review points.
Where does human expertise fit?+
People set priorities, assess the relevance of findings and authorize action. AI-generated guidance is considered alongside supporting information and the conditions of the actual environment.
AI & DATA PROTECTION
Intelligence earns its value through trust.
Raqib uses AI models to interpret requirements, analyze information and support recommendations. Access controls, separation between organizations’ data and activity records support data protection alongside that work. This approach connects the value of analysis with accountability for how information is used.