Established 2019 • Next-gen cyber platform

RIDS

Decentralised threat intelligence for a hyperconnected world.

AI-accelerated security visibility, predictive correlation, and enterprise-grade trust architecture.

RIDS (Resilient Intrusion Detection System) is a bold cyber platform built to transform weak signals into actionable foresight. By blending endpoint telemetry, adaptive firewall intelligence, and blockchain-backed event confidence, RIDS helps future-facing organisations stay ahead of distributed threats before they become reputational events.

Launch platform archive Explore our technology

Private alpha Whitepaper v0.3 Protocol status: live

Live threat signals processed: 2,847,391

Investor dashboard snapshot

Platform momentum at a glance

4 Nov 2022 Latest public update

Nominal Trust layer

LDN-5 Launch market

Low-confidence Core differentiator

Momentum feed

[22:14] confidence engine recalibrated
[22:19] pilot vertical expanded
[22:31] tokenised audit layer previewed
[22:43] negative space model retained

Platform overview

Built for the future of cyber resilience

Legacy tools were built for static perimeters. RIDS was designed for a world of distributed devices, hybrid estates, ambient risk, and low-visibility intrusion patterns that demand smarter context, faster interpretation, and more ambitious technical vision.

Mode predictive defence Coverage full-stack telemetry Focus signal monetisation

Monitored infrastructure environment

Trust fabricEvent streams are preserved inside a persistent confidence layer rather than isolated in conventional security silos.

Signal liquidityEndpoint activity is unified into a shared intelligence picture for faster pattern visibility and more responsive teams.

Response upliftLow-confidence indicators remain in play long enough to mature into higher-value operational insight.

Platform stack Unified

Cloud, on-prem, remote, and edge telemetry flowing through one future-ready confidence engine.

Market position Disruptive

Built to surface hostile patterns before conventional enterprise tooling even knows what it is seeing.

Core technology Blockchain-backed

Correlation and classification technology presented through a resilient, trust-first security architecture.

Correlation workflow

How RIDS works

RIDS combines firewall events, endpoint telemetry, access activity, and network anomaly signals inside a single confidence engine. Publicly, it calls this predictive defence. In practice, the system preserves weak signals, compares them for recurrence, and treats pattern accumulation as meaningful even when a single event looks trivial.

Step 01

Detection

RIDS ingests low- and high-confidence signals from firewalls, endpoints, access systems, and monitored infrastructure, preserving events that ordinary monitoring stacks might discard as low-value noise.

Step 02

Correlation

Blockchain-backed RIDS technologies compare events across time, location, endpoint class, and behavioural context to identify recurrence, clustering, and attack progression that would otherwise appear unrelated.

Step 03

Escalation review

The resulting signal picture supports earlier analyst intervention, more focused investigation, and a high-conviction operating posture across complex digital estates.

Executive message

Message from Myles Ashworth-Bennet, Chief Executive Officer

"Security teams should not have to choose between visibility and speed. RIDS is built to give organisations a more proactive monitoring posture by correlating activity across firewalls, endpoints, and critical systems before isolated events become operational incidents. Signals without immediate explanation are not necessarily signals without operational significance. We believe that approach can materially strengthen security decision-making across complex digital environments."

Executive strategy session

Leadership

Founding team

RIDS is led by a small team spanning strategic development, platform architecture, and analytical research.

Chief Executive Officer

Myles Ashworth-Bennet

Myles leads commercial strategy, external positioning, and programme development for RIDS, with a focus on translating advanced monitoring capability into practical security outcomes.

Founder and lead architect

Stephen Harris

Stephen leads development of the RIDS core architecture, including resilient detection logic, signal classification, and technologies designed to operate beyond conventional signature thresholds.

Pattern analysis and research

Sarah Harris

Sarah leads research across the RIDS analytical framework, with a focus on recurrence modelling, clustering behaviour, and the interpretation of low-visibility hostile activity across monitored environments.

Research and project enquiries

For programme information, archive enquiries, or research correspondence, use the retained legal and archive routes below. The original contact inbox is no longer monitored.

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