AI Cyber Defense Agent Service
Provide a brand-aligned conversational AI agent that helps employees recognize threats, follow approved security procedures and escalate suspicious events to the right human team.
What this capability solves
Employees often face security decisions in the moment: a suspicious message, a questionable link, a data-handling concern or uncertainty about company policy. A controlled AI defense agent can provide immediate guidance without replacing the SOC, incident-response team or accountable security owner.
Technology is implemented as an operating capability: architecture, integration, governance, assurance, people, procedures and measurable outcomes are designed together.
Capability model
Modular building blocks allow the scope to start with a focused pilot and expand into an enterprise operating model.
Brand & Policy Alignment
Configure the agent around approved corporate security policy, tone, escalation rules and authoritative knowledge sources.
Threat Guidance
Help users recognize phishing, social engineering, credential, deepfake, unsafe-AI-use and data-handling risks through contextual guidance.
Incident Triage Intake
Collect structured user-reported indicators and context, then route the event into approved security workflows.
Safe Recommendation Engine
Provide bounded next-step guidance based on severity, role and policy while avoiding autonomous containment or destructive action.
Knowledge & RAG
Ground responses in current security policies, playbooks, awareness content and approved FAQ repositories.
Human Escalation
Escalate suspected compromise, exposed credentials, fraud or high-impact incidents to SOC/IT/security with evidence and urgency context.
Audit & Analytics
Maintain governed interaction metadata, escalation outcomes and recurring risk themes for programme improvement.
Privacy Controls
Minimize stored conversation data, redact sensitive content where possible and apply access/retention controls to operational records.
How the capability fits together
Final topology, control placement and deployment model are validated during discovery and detailed design.
Controls & governance
- Data minimization and role-based access
- Transparent purpose and acceptable monitoring boundaries
- No punitive use of risk scores without governance
- False-positive and contextual review for behavioral indicators
- Controlled phishing rules and safe landing pages
- Policy/e-sign evidence integrity
- Retention limits for learning and simulation records
- Escalation for exposed credentials or high-risk patterns
- Management reporting focused on risk reduction, not surveillance
Priority use cases
- Employee security helpdesk
- Phishing and suspicious-message guidance
- Deepfake/social engineering questions
- Unsafe AI/data sharing guidance
- Credential exposure response guidance
- Policy Q&A and incident reporting
Key deliverables
- AI defense-agent charter
- Approved knowledge base
- Policy and escalation rules
- RAG/source configuration
- Security/privacy controls
- Integration workflow
- Operational runbook
- Analytics dashboard
Integration considerations
- HRIS / employee directory
- Google Workspace / Microsoft 365
- SSO / identity provider
- E-mail and approved chat channels
- SIEM/SOC or security operations
- GRC/policy repository
- Ticketing/workflow platform
- API/MCP integration layer
Phased delivery
Each phase ends with evidence, acceptance criteria and a decision gate before broader scale-out.