xAIDRA response framework Embedded Linux + Android DFIR Kernel telemetry / dynamic signatures / forensic capture

Incident response for systems attackers expect to stay hidden on.

xAIDRA gives responders real-time Linux kernel telemetry, remotely distributed detection logic, intelligent job execution, and decentralised forensic capture across embedded network appliances, Linux infrastructure, and Android fleets.

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Linux Servers Cloud Workloads Embedded Systems SOC Teams DFIR Teams Incident Response eBPF Telemetry Dynamic Bundles Android Devices Threat Hunting Rapid Triage Investigation Workflow RAG Intelligence Control Plane
Field Notes / 00

Latest Briefs

Overview / 01

Built for responders who need evidence from difficult systems.

Advanced malware and skilled operators often target embedded network and security appliances because they are trusted, operationally sensitive, and poorly covered by conventional endpoint tooling.

Remote triage

High-fidelity collection under response pressure.

Execute YARA-L scans, memory capture, artifact collection, process inspection, and evidence packaging across distributed assets without waiting for a perfect management path.

Immediate response

Condition-based action instead of passive monitoring.

Run targeted jobs when telemetry indicates suspicious process creation, resource anomalies, network activity, signature mismatches, known malware, or IOC matches.

Who it supports / 02

Built for security teams that cannot wait for perfect visibility.

xAIDRA is for teams responsible for systems that are critical, constrained, remote, or difficult to instrument. It gives analysts a way to ask direct forensic questions of live assets while preserving control over when collection happens and what evidence is returned.

SOC and detection teams

Turn alerts into evidence.

Validate whether a signal maps to a real process, file, network flow, IOC, or signature mismatch on the affected system.

DFIR teams

Collect before state changes.

Acquire logs, memory, files, process details, and network observations before volatile evidence disappears or an appliance is rebuilt.

Infrastructure owners

Cover assets EDR misses.

Extend investigation coverage into embedded Linux, network appliances, edge systems, cloud nodes, and managed Android devices.

Responder use cases / 03

Designed for the first hours of an investigation.

xAIDRA helps incident responders move from uncertainty to evidence by combining live telemetry, controlled remote execution, forensic artifact capture, and threat intelligence context in one operating model.

01 / Threat Hunting

Find behavior that survives standard visibility.

Inspect process creation, command lines, network flows, file artifacts, resource anomalies, signature mismatches, and IOC hits across systems that are often outside traditional EDR coverage.

02 / Incident Response

Dispatch precise jobs only where they matter.

Send targeted collection and detection tasks to affected nodes based on conditions, alerts, telemetry, or analyst judgement instead of running broad, noisy scans everywhere.

03 / Forensics

Collect volatile evidence before it disappears.

Capture memory, logs, process state, suspicious files, network observations, and structured job results with a repeatable evidence path suitable for later review.

04 / Embedded Recovery

Operate where full endpoint agents cannot.

Use decentralised capture options over UART, root shell, or LuaJIT-assisted collection paths to recover artifacts from constrained network and security appliances.

Operational workflow / 04

From suspicion to defensible evidence.

xAIDRA is built around the way investigations actually unfold: establish visibility, trigger focused collection, preserve results, then use those findings to improve future detection and analysis.

Step 01

Deploy where visibility is missing.

Enroll an agent, run a mobile audit, or use a decentralised capture path when the target is an appliance or constrained host.

Step 02

Observe the right signals.

Stream kernel, process, network, resource, mobile, and IOC telemetry into a control plane designed for rapid triage.

Step 03

Run targeted jobs.

Dispatch YARA-L scans, file collection, memory capture, process review, network analysis, or custom Lua/Python/bytecode logic.

Step 04

Feed the next investigation.

Convert scan results, alert telemetry, and forensic summaries into searchable intelligence for future RAG-assisted analysis.

Platform support / 05

Linux infrastructure and Android fleets.

Linux
Linux environments

Linux infrastructure

Coverage for server, cloud-native, and embedded Linux environments with visibility into kernel state, process integrity, network behavior, and appliance-level response workflows.

Ubuntu / Debian | RHEL / CentOS | Embedded
Android
Mobile operations

Android fleets

Forensic-focused visibility into mobile devices, application permissions, suspicious software clusters, radio conditions, network observations, and handset-level telemetry for field investigations.

Mobile edge | MDM integrated | Fleet analytics
06. New Mobile Capabilities

Field telemetry for real-world triage.

Recent mobile releases extend xAIDRA beyond app-only auditing. Operators can now inspect GNSS integrity, map RF detections in space, compare audit drift across runs, and separate likely false positives from genuinely actionable mobile findings.

GNSS Analyzer

Spoof and jam visibility

Skyplot inspection, strongest-satellite review, C/N0 trend analysis, and receiver-state diagnostics for navigation trust assessment.

RF Survey Map

Spatial radio correlation

Map-backed Wi-Fi, BLE, and Bluetooth survey overlays with proximity estimation, target separation, and authorized-node comparison workflows.

Permission Audit

Drift-aware mobile triage

App provenance, change detection, remediation-first findings, and OEM-aware suppression reduce noise and make repeated audits operationally useful.

EMT / EMF

Directional field telemetry

Signed axis polarity, calibrated magnetic variance, and honest handset-sensor boundaries for local anomaly assessment.

Operational Impact

From posture to field response

The mobile app now supports a tighter operator loop: detect suspicious app or device drift, correlate surrounding radio activity, inspect GNSS conditions, and preserve actionable evidence without leaving the handset workflow.

Offline Continuity

Bundled CVE and IOC data keep mobile scans useful when connectivity is constrained.

False-Positive Control

Known OEM and system packages are handled through review-aware logic instead of being overstated as malicious.

Read the Mobile Guide
Mobile Telemetry

Handheld Response Agent.

// Hover to identify — click to expand

// DASHBOARD

Dashboard

Device posture and quick access to core response modules.

Dashboard

// FAST_SCAN

Fast Scan

Phase-based scan pipeline for artifacts, IOC matches, and attestation.

Fast Scan

// INTEL_CENTER

Intel Center

Alert triage with acknowledgement and resolution workflows.

Intel Center

// THREAT_MONITOR

Threat Monitor

Live IOC sweep against network activity during active sessions.

Threat Monitor

// APP_PERMISSIONS

App Permissions

Permission-risk and audit findings for installed mobile apps.

App Permissions
01

Quick Deploy

Onboard Linux nodes in seconds with a single curl command. Ideal for rapid response in unmanaged environments.

02

Orchestrated

Deploy via Kubernetes sidecars or Ansible for full-scale infrastructure protection and policy enforcement.

03

Mobile Native

Enroll Android assets via our dedicated mobile app to bridge the gap between corporate IT and field operations.

04

API Driven

Integrate xAIDRA triggers into your existing SOAR or SIEM platforms for automated forensic capture.

07. Flexibility

Deployment
Simplicity.

We understand that incident response doesn't always happen in a perfectly managed environment. xAIDRA is designed to be deployed exactly where and when you need it, from single critical nodes to global clusters.

08. The Stack

Built for Precision.

Under the hood, xAIDRA combines trusted kernel telemetry, secure detection bundle distribution, and pluggable analysis engines so responders can collect evidence without destabilising the systems they are investigating.

eBPF Kernel Telemetry

xAIDRA uses eBPF to observe kernel events without kernel modules, system binary modification, or reboot-driven deployment. Event streaming through ring buffers keeps telemetry timely while preserving low overhead collection.

Dynamic Signatures

LLM-assisted detection engineering helps convert threat intelligence and response findings into versioned detection logic that can be reviewed, packaged, and distributed to agents when the investigation requires it.

Secure Logic Bundles

Detection logic is shipped as timely, remote, encrypted bundles with signature version tracking, allowing responders to update what agents know without rebuilding the endpoint or interrupting operations.

Pluggable Engines

The analysis runtime supports Lua, Python, YARA-L, bytecode, and eBPF-backed checks, giving teams a practical path from simple IOC matching to deeper behavioral and forensic logic.

09. RAG Intelligence

A response platform that learns from its own findings.

xAIDRA integrates Retrieval Augmented Generation so completed scans, critical alerts, and forensic summaries become searchable knowledge for future investigations instead of isolated case notes.

Automated learning

Scan reports and alerts feed the knowledge base.

Security scan results are converted into technical summaries containing risk scores, suspicious processes, malicious flows, IOC matches, and other analyst-useful evidence before synchronization into the Vertex AI RAG corpus.

Domain optimized

Raw JSON becomes retrieval-ready intelligence.

ForensicModellerService formats telemetry into human-readable intelligence documents designed for retrieval, modeller training, and technical reasoning over prior observations.

Real-time integration

Background synchronization without blocking the operator.

RealtimeUpdateService manages RAG sync tasks in the background so the corpus stays current while the dashboard and job workflows remain responsive during active incidents.

10. Centralized Command

The Analyst Interface.

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// ACTIVE_NETWORK

Active Network

Live network connection map across all monitored nodes.

Active Network

// ALERT_TRIAGE

Alert Triage

Real-time signature matching and severity ranking across the mesh.

Alert Triage

// ALERT_DETAIL

Alert Detail

Drill-down forensic context and IOC correlation per alert.

Alert Detail

// AI_ANALYSIS

AI Analysis

Automated threat context and narrative generated from live telemetry.

AI Analysis

// TRAFFIC_ANALYSIS

Traffic Analysis

Deep packet inspection and source-to-destination flow mapping.

Traffic Analysis

// SCAN_REPORT

Scan Report

Full artifact collection and YARA scan results for a single node.

Scan Report

// MEMORY_FORENSICS

Memory Forensics

Remote memory acquisition and volatile evidence capture.

Memory Dump

// VERBOSE_LOG

Verbose Log

Raw agent telemetry stream for deep triage and manual review.

Verbose Output

// DETECTION_RULES

Detection Rules

Custom YARA and behavioural rule management across the fleet.

Detection Rules

// JOB_QUEUE

Job Queue

Dispatch and track forensic jobs across distributed nodes in real time.

Job Queue

// JOB_RESULTS

Job Results

Structured output and evidence packages from completed jobs.

Job Results

// AGENT_ONBOARD

Agent Onboarding

One-command agent deployment to any Linux node.

Agent Onboarding

// ATTACK_SIMULATION

Attack Simulation

Validate detection coverage by replaying known attack patterns.

Simulation
Evidence / 10.1

Recent interface captures.

These views show the dashboard screens used for scan review, selective sweep configuration, threat intelligence, sandbox-style workflows, and IOC inspection. They are intended to help analysts understand what each module does before they open it live.

Dashboard scan report

Scan Report

Summary view for a completed scan.

Shows the final scan outcome, metrics, and evidence summary so an analyst can decide whether to continue triage or close the event.

Selective sweep configuration

Selective Sweep

Choose targets and rules deliberately.

This screen is for scoped hunts where the analyst picks the target, engine scope, and relevant rule set instead of launching a broad default scan.

Network tunnel analysis

Network Analysis

Investigate tunnels and unusual traffic.

Captures the workflow used to inspect a suspicious network path, review related flows, and correlate them with the rest of the host evidence.

Dashboard memory dump workflow

Memory Dump

Launch and track volatile capture.

Useful when the investigation needs a volatile snapshot, with the operator able to track status, completion, and related result artifacts.

Dashboard sandbox workflow

Sandbox

Controlled analysis workspace.

Represents an isolated workflow for inspecting artifacts safely before they are treated as broader indicators or response actions.