Stop piecing together timelines by hand
Automatically analyze historical device and network behavior without chasing logs across tools.
IoT devices generate massive amounts of network data, but audits, investigations and compliance reviews all require looking backward — across weeks or months of device and network behavior.
That means risk, compliance and audit teams are left piecing together events after the fact. Without automated historical analysis and forensic reporting, you can’t:
Reconstruct device behavior over time
Explain the root cause of past anomalies or data spikes
Detect emerging risk patterns across your IoT device footprint
Provide verifiable evidence during audits
Prove how devices, networks and cloud services interacted
Manually chasing logs and stitching together timelines drains resources and slows audit response.
You need audit-ready intelligence built specifically for IoT networks — with retained history, automated analysis and forensic-level reporting.
Aeris IoT Watchtower Analysis helps you make sense of IoT network data after the fact. It automatically analyzes historical device behavior, network activity and anomalies so you can understand what changed, when it changed and which devices were affected.
Instead of chasing logs or rebuilding timelines manually, you get structured analysis designed for investigations, reviews and audits. You can trace device behavior over time, surface risk signals and generate forensic reports that explain past events in a way teams can act on.
With Aeris IoT Watchtower Analysis, you can:
Analyze device and network behavior across weeks or months
Investigate anomalies and unexpected usage after they occur
Detect risk patterns that emerge over time
Reconstruct events without stitching together data from multiple tools
Produce reports that support investigations, reviews, and audits
Aeris IoT Watchtower Analysis gives you the historical insight needed to answer, “what happened?” — whether you’re responding to an incident, reviewing performance or preparing for an audit.
Most IoT tools are built for the present moment. They show you what’s happening right now, but when you need to look back, explain an incident, or answer audit questions, you’re left reconstructing events from raw data and disconnected logs.
Aeris IoT Watchtower Analysis connects the dots over time
With Aeris IoT Watchtower Analysis, you get structured, historical analysis of IoT network traffic, device behavior and anomalies.
Aeris turns IoT data into insights
You can explain what happened, trace it back to root cause, supporting investigations, reviews and audits with evidence, not assumptions.
Automatically analyze historical device and network behavior without chasing logs across tools.
See how devices, networks, and cloud services behaved before, during and after an incident.
Detect anomalies and emerging risks that only appear when you look across days, weeks or months.
Aeris IoT Watchtower Analysis gives you the tools to investigate, reconstruct and explain IoT network activity across your entire IoT footprint without manual log analysis.
| Feature functionality | Operational value | |
|---|---|---|
| Search History reviews device search activities within a given period. | → | Analyze recent behaviors, identify patterns, monitor suspicious or unusual queries and support deeper audit or security investigations |
| Security Events are classified and logged using multiple levels of analysis and correlation of device traffic, subscriptions and threat intelligence. | → | Detect IoT issues, risks and threats, such as a device connecting to a malicious endpoint, or a subscription being used to generate port or address scans. |
| Aggregated Events provides a consolidated view of all security events and anomalies in a given day. | → | Review events, such as SIM misuse or traffic spikes, in a 24-hour period sorted by device, event type and origin-destination country. |
| Risk Assessment Report provides a monthly view of IoT network risks and threats. | → | Demonstrate continuous risk assessment and vulnerability management, including regular monitoring, evaluation and mitigation of cybersecurity risks. |
| SIEM Integration connects Watchtower to your Security Information and Event Management (SIEM) system. | → | Improve incident detection and response by enabling Watchtower security events to stream into an enterprise security operation center (SOC). |
| API Access enables programmatic access to Watchtower REST API to perform Read or Write operations. | → | Automate reporting and investigations by integrating Watchtower insights into operational dashboards, internal systems, and security workflows, enabling faster correlation and response. |
Aeris IoT Watchtower Analysis helps risk and compliance teams explain past IoT events, investigate anomalies and support audits with data-backed analysis.
Reconstruct past device behavior and network activity so you can explain what happened without manually pulling logs.
Automate IoT auditing and forensic reporting to eliminate time-consuming, manual timeline reconstruction.
Analyze historical IoT data to surface anomalies, recurring issues and emerging risks that become visible over time.
Share a data-backed view of past IoT events across risk, compliance, operations, and security teams.
Understanding what happened and where risk exists is only the first step. When your teams are ready to act on those findings, you can extend Aeris IoT Watchtower Analysis with enforcement bundles that apply policy, block risky traffic and protect your IoT environment at scale.
Add the capabilities you need, when you need them:
See what’s happening across your IoT network in real time. Gain visibility into device behavior, connectivity and cloud interactions.
Learn moreTurn insight into action by applying policy rules for device communication, segmenting traffic flows and enforcing operational standards.
Learn moreDetect malicious traffic, block risky destinations and isolate compromised devices to strengthen your overall security posture.
Learn moreKeep learning. Keep evolving. Keep moving forward.