Cybersecurity
N8n automation without the attack surface
We understand the security vulnerabilities specific to AI and automation systems. Every N8n deployment we build is hardened against the threat vectors that make automation dangerous in regulated environments.
For organisations requiring advanced security operations automation, we extend N8n with Tines — the specialist platform for SOC teams, alert triage, and incident response automation.
Why AI security is different
Traditional software security and AI security are not the same. AI systems can be manipulated through their inputs, leak data through their outputs, and behave unpredictably in production. Most AI tool vendors are not security companies. We are. We specialise in the intersection of AI capability and enterprise-grade security.
Security Architecture
Seven pillars of secure AI
Our security framework addresses every layer of the AI deployment stack — from model behaviour to infrastructure and compliance.
AI System Hardening
Every AI system we deploy is subjected to a rigorous hardening process. We review model inputs, outputs, tool access, and infrastructure configuration to eliminate attack surfaces before deployment.
- Input validation and sanitisation layers
- Output filtering to prevent data leakage
- Minimal tool and API access privileges
- Container and infrastructure hardening
Prompt Injection Protection
Workflow-level protection via N8n Guardrail nodes. Prompt injection is the most common attack vector targeting LLM-based systems — we intercept adversarial inputs at the workflow layer before they reach any model, preventing system compromise or unauthorised data access.
- N8n Guardrail nodes intercept inputs pre-model
- Input sanitisation and instruction separation
- Context boundary enforcement via workflow logic
- Automated red-team testing before deployment
Data Privacy Protection
Your data should never leave your control. We design data architecture with strict privacy controls — ensuring that AI systems process only what they need and nothing persists unnecessarily.
- Data minimisation by default
- Ephemeral processing where possible
- No data used for model training without consent
- GDPR-aligned data handling procedures
Private Model Deployment
For clients in regulated industries, we offer fully private LLM deployment. Your data never touches public APIs. Models run on infrastructure you control, with zero exposure to external systems.
- On-premises or dedicated cloud deployment
- Zero data transmission to public APIs
- Self-hosted open-weight model options
- Full infrastructure ownership available
Access Control & Identity
We implement role-based access control across all AI systems. Every user, integration, and automated process has precisely the permissions it needs — and nothing more.
- Role-based access control (RBAC)
- Multi-factor authentication requirements
- API key management and rotation
- Session management and timeout policies
Audit Logging
Every action taken by an AI system is logged, timestamped, and stored immutably. Full traceability across inputs, decisions, outputs, and exceptions — essential for compliance and incident response.
- Immutable audit trails on all actions
- Real-time monitoring and alerting
- Anomaly detection for unusual behaviour
- Exportable logs for compliance reporting
Compliance Readiness
We build AI systems with regulatory compliance as a design constraint, not a post-deployment checkbox. We address GDPR, HIPAA, SOC 2, and sector-specific requirements from day one.
- GDPR-compliant data processing architecture
- HIPAA-ready deployment options for healthcare
- SOC 2 Type II compatible system design
- Compliance documentation provided
Secure API Integrations
AI systems that connect to external services create integration risk. We design all API connections with encryption, authentication, rate limiting, and failure handling that prevents cascading vulnerabilities.
- OAuth 2.0 and API key authentication
- TLS 1.3 for all data in transit
- Rate limiting and request validation
- Graceful failure handling
Comparison
Standard AI deployment vs. ours
Most AI vendors ship fast and secure later. We ship secure from day one.
Security Orchestration
Tines for advanced security operations automation
When your organisation runs a security operations function, general-purpose automation tools aren't enough. Tines is built specifically for security teams.
What Tines is
Tines is a no-code security orchestration platform used by security operations teams at enterprises and MSSPs. It's built to handle the volume, complexity, and sensitivity of security workflows that general automation platforms aren't designed for.
When we use it
N8n acts as the primary orchestrator and decision engine. When a workflow condition requires specialist security handling — SIEM alert triage, threat intelligence enrichment, automated incident response, or phishing investigation — N8n triggers Tines as the dedicated enforcement tool.
How N8n triggers Tines
N8n is the primary brain. It monitors events, evaluates conditions, and routes security-critical triggers to Tines for specialist execution. Tines reports results back to N8n, which updates workflow state and drives downstream actions. One control plane, one source of truth.
Tines capabilities we deploy
Security-first N8n automation
Ready to deploy automation your security team will actually approve? Let's talk about your specific requirements — whether that's securing N8n workflows or deploying Tines for your SOC.
Discuss Your Security Needs