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β—† Enterprise Cybersecurity

Full-Stack Protection for Intelligent Devices

AI security extends beyond the model. We secure the complete device lifecycleβ€”from trusted boot and runtime protection to application security, network defense, secure software updates, and continuous threat monitoring.

Enterprise Device Security

Nine layers of coverage, one team.

From the platform a device boots into, to the applications it runs, the network it talks to, and the compliance evidence you need to show for it β€” we secure the whole stack, not just one layer of it.

Security Coverage

  • Secure Boot & Platform Integrity
  • Runtime Protection
  • Application Security
  • Network Security
  • Data Protection
  • Secure OTA Updates
  • Kernel-Level Runtime Monitoring
  • Threat Detection & Response

Powered by our proprietary eBPF-based runtime security engine, delivering continuous kernel-level visibility and real-time threat detection with minimal performance overhead.

Device Security Lifecycle
1. Boot β€” verified firmware & OS integrity
2. Access β€” authenticated, least-privilege
3. Monitor β€” eBPF, kernel level
4. Update β€” signed, anti-rollback
  • Exec Unrecognized process execution flagged
  • Update Signed package verified, rollback rejected
Device Security

Full-stack security, platform to compliance

Platform Security

  • Secure Boot
  • Trusted Execution Environment (TEE)
  • Firmware Integrity Verification
  • Secure Storage
  • Hardware Root of Trust

Runtime Protection

  • Process Monitoring
  • Memory Protection
  • File Integrity Monitoring
  • Application Control
  • Privilege-Escalation Detection
  • Exploit Prevention

Application Security

  • Application Allowlisting
  • Code-Signing Verification
  • Application Sandboxing
  • Secure IPC
  • Access Control

Network Security

  • Host Firewall
  • Network Monitoring
  • Secure Communication (TLS/IPsec)
  • Network Access Control
  • Intrusion Detection

Data Protection

  • Disk / File Encryption
  • Secure Key Management
  • Credential Protection
  • Secure Logging

Secure OTA Updates

  • Signed Updates
  • Package Verification
  • Rollback Protection
  • Update Integrity Validation

Security Monitoring

  • Security Event Logging
  • Audit Logs
  • Intrusion Detection
  • Alert Generation
  • Remote Diagnostics

Compliance

  • ISO/SAE 21434 Mapped
  • UNECE WP.29 R155/R156 Mapped
  • NIST Cybersecurity Framework Mapped
  • Security Audit Reporting
  • Vulnerability Assessment

Shared With AI & ML Security

The same platform-to-compliance discipline is what secures the models themselves in our AI & ML Security work.

Need Runtime AI Protection Too?

Kernel-level, AI-powered threat detection β€” our BPFense platform β€” lives under Runtime AI Protection, the detection layer underneath everything on this page.

Why Organizations Choose Us

Why Organizations Choose RiskLumen

  • Full-Stack Device Coverage
  • Defense-in-Depth Security
  • Proprietary eBPF Runtime Monitoring
  • AI-Powered Threat Detection
  • Compliance-Mapped Controls
  • Kubernetes & Edge Ready
  • No Userspace Agent to Patch
  • Built for Enterprise-Scale Fleets
How It Works

From an unverified device to a fully secured one

01

Verify

Secure boot checks firmware and OS integrity before anything runs, and access control locks every process down to least-privilege.

02

Monitor

An eBPF sensor watches process and system activity from the kernel β€” no userspace agent to install, patch, or accidentally kill.

03

Update

Every update is signed, verified, and checked against a rollback index β€” so an attacker can't plant a bad build or replay an old, vulnerable one.

FAQ

Common questions

Is this just kernel monitoring, or more?

More. It's the full device lifecycle β€” secure boot, access control, and secure updates, plus eBPF-based kernel-level monitoring for what happens in between. Monitoring alone doesn't help if the boot chain or update path is the weak point.

What is BPFense?

Our own AI-driven runtime security platform β€” the kernel-level detection engine underneath this page. See Runtime AI Protection for the full architecture.

How does this relate to AI & ML Security?

Same discipline, different scope. AI & ML Security applies encrypt-sign-access-control-monitor-update specifically to a model; Cybersecurity applies the same pattern to the device and firmware it runs on.

What does pricing look like?

Project-based for deployment and integration, plus your own infrastructure usage β€” no seat-based licensing. Book a call and we'll scope it.

Ready to secure a device end to end?

Boot, access, monitoring, and updates β€” tell us what you're deploying and where.