June 23, 2026

Bastille ADAM: Advanced Wireless Threat Detection with AI-Driven Analytics 

Modern security teams monitor endpoints, networks, cloud infrastructure, identities, and applications. Yet many still lack continuous visibility into the wireless environment, where unauthorized devices, rogue access points, Bluetooth activity, LTE/5G connections, and IoT transmissions can create hidden risk.

Bastille ADAM helps close that gap.

Bastille ADAM, the Advanced Detection Analytics Module, turns wireless visibility into actionable security intelligence. Built on Bastille’s 100% passive RF monitoring, ADAM analyzes RF activity across enterprise environments to detect, characterize, prioritize, and alert on wireless threats in real time.

What Is Bastille ADAM?

ADAM functions as the analytics engine of the Bastille Enterprise Platform. It consumes wireless observations from Bastille Fusion Center and converts them into context-rich findings for security teams.

Instead of simply identifying that a device exists, ADAM analyzes:

  • Device behavior
  • Location patterns
  • Protocol usage
  • Policy violations
  • Behavioral anomalies
  • Risk context

ADAM supports continuous RF telemetry analytics for Wi-Fi, Bluetooth/BLE, LTE/5G, and IoT protocols across Bastille’s monitored RF spectrum, from 100 MHz to 6 GHz, with Wi-Fi coverage to 7.125 GHz.

Why Wireless Threat Detection Matters

Traditional security controls focus on managed networks and endpoints. Firewalls, NAC, EDR, and SIEM tools provide critical protection, but they often lack direct visibility into unmanaged wireless devices and RF transmissions.

That creates operational blind spots.

A rogue access point may never touch the corporate network. A Bluetooth device may pair inside a restricted area. A malicious cable- or wireless-attack tool may appear briefly and then disappear. A device may use LTE/5G connectivity to bypass monitored infrastructure.

ADAM helps security teams move from raw wireless visibility to prioritized wireless risk management by evaluating activity based on:

  • Context
  • Behavior
  • Location
  • Severity
  • Policy relevance

Core Capabilities

AI-Driven Behavioral Analytics

ADAM uses AI/ML algorithms, Bastille threat detection logic, and rolling baselines to identify abnormal behavior.

Examples include:

  • Device spoofing
  • Rogue network participation
  • Unauthorized Bluetooth pairing
  • Policy violations
  • Unexpected channel hopping
  • Devices appearing outside expected schedules or locations

Device Fingerprinting

ADAM builds device fingerprints using RF characteristics, vendor metadata, transmission behavior, and observed activity patterns.

This information helps analysts distinguish between expected devices, suspicious devices, and high-risk tools.

Policy-Based Threat Evaluation

Organizations can define custom Threat Policies based on:

  • Location
  • Device type
  • Protocol
  • Severity
  • Time of day
  • Operational context

Security teams can tune monitoring for:

  • Restricted areas
  • Executive spaces
  • Data centers
  • Labs
  • Federal facilities
  • No-device zones

Real-Time Findings and Risk Prioritization

ADAM enriches findings with:

  • First-seen and last-seen timestamps
  • Device classification
  • Policy category
  • Location context
  • Behavior type

Security teams can stream findings into SIEM, SOAR, access control, and incident response workflows through APIs and webhooks.

Zone-Based Monitoring

ADAM supports custom monitoring zones for areas such as:

  • Lobbies
  • Elevators
  • Labs
  • Secure rooms
  • Restricted spaces

Zone-specific policies help reduce false positives while surfacing relevant activity within defined boundaries.

Historical Forensics

ADAM supports forensic replay of RF activity, allowing analysts to investigate:

  • When a device first appeared
  • Where it moved
  • What is it connected to
  • Whether it entered restricted areas
  • Whether it repeats suspicious behavior

Protocol and Detection Coverage

Wireless AreaExample Detection Value
Wi-FiRogue access points, hidden SSIDs, evil twin activity, weak encryption
Bluetooth/BLEPairing attempts, scanning behavior, and abnormal signal activity
LTE/5GUnauthorized or policy-violating cellular connectivity
IoTUnmanaged transmitters, anomalous RF behavior
Known attack toolsIndicators associated with Flipper Zero, OMG Cable, USB Ninja, and WiFi Pineapple

How Security Teams Use ADAM

Detect Rogue Devices

ADAM helps identify unauthorized wireless devices, suspicious Bluetooth activity, unauthorized or policy-violating LTE/5G connectivity that can bypass monitored infrastructure, and indicators associated with known wireless attack tools.

Reduce Alert Fatigue

ADAM prioritizes findings based on severity, context, and policy relevance, enabling analysts to focus on high-value events.

Support SOC Operations

ADAM integrates with enterprise security workflows via APIs and webhooks, enabling teams to stream findings to SIEM, SOAR, access control, and incident response platforms.

Strengthen Compliance and Investigations

ADAM provides evidence-based findings, historical activity, policy-driven reporting, and forensic replay capabilities that support investigations and wireless security programs.

Key Takeaways

  • Bastille ADAM turns wireless visibility into actionable security intelligence
  • ADAM analyzes RF activity across Wi-Fi, Bluetooth/BLE, LTE/5G, and IoT protocols
  • ADAM helps security teams identify rogue devices, policy violations, anomalous behavior, and wireless attack indicators
  • ADAM supports SOC workflows through enriched findings, APIs, webhooks, SIEM, and SOAR integrations
  • ADAM extends Bastille’s 100% passive RF monitoring with AI-driven behavioral analytics, policy evaluation, and forensic replay

Conclusion

Wireless threats often operate outside the reach of traditional security controls. Bastille ADAM gives security teams the analytics layer needed to detect, prioritize, and investigate high-risk wireless activity across the RF spectrum.

By combining 100% passive RF monitoring, AI-driven behavioral analytics, policy-based evaluation, enriched alerting, zone-based monitoring, and forensic replay, ADAM helps organizations convert wireless activity into actionable security intelligence.

For organizations responsible for high-value facilities, sensitive data, regulated environments, or mission-critical operations, ADAM provides a practical path from wireless visibility to advanced wireless threat detection.

Close your cybersecurity gaps with AI-driven wireless visibility

See Bastille in action with a live demo from our experts in wireless threat detection.