Secure the devices, data, and models attackers now target.
Security engineering for connected and intelligent systems — device identity, OT segmentation, data protection, and the emerging discipline of securing AI itself.
Why this matters now
Every sensor is an attack surface; every model is a new asset to protect. IoT fleets and AI pipelines introduce risks — device hijacking, data poisoning, prompt injection — that traditional IT security programs weren't scoped for.
Service pillars
Device & fleet security
Hardware root of trust, certificate lifecycle, signed OTA updates, and anomaly detection across the fleet.
OT & network security
Segmentation, unidirectional gateways, and monitoring designed for environments where patching is hard.
AI security & governance
Model access control, prompt-injection defenses, data-poisoning checks, and audit trails for agent actions.
What changes for your operation
- Reduced attack surface — Fleet-wide identity and patching close the classic IoT holes.
- Compliance readiness — Architecture mapped to IEC 62443, NIST, and sector requirements.
- AI you can let act — Guardrails that make autonomous systems insurable and auditable.
Stack we deploy with
- PKI & HSMs
- IEC 62443 patterns
- Microsoft Defender for IoT
- Zero-trust networking
- AI guardrail frameworks
Where this service earns its keep
- IoT fleet hardening
- OT network segmentation
- AI system security reviews
- Incident-response readiness
Where we deploy it
Questions we hear most
Yes — third-party IoT/OT security assessments with prioritized remediation are a standing service, no rebuild required.
Ready to put cybersecurity to work?
Book a demo, or start with the AI Readiness Assessment — a 30-minute working session that maps your highest-value first deployment.
- AI that sees, predicts, and acts — not just a dashboard.
- Pilot to fleet rollout in weeks, with a go/no-go you can defend.
- Enterprise-grade security, procurement, and support from day one.
Schedule a demo
See Invexal on your own cameras and data.