Results for “ot-monitoring”

Detect sophisticated cyber-physical attacks that modify PLC logic while spoofing sensor readings, covering PLC integrity monitoring, process anomaly detection, and multi-stage attack chain detection.

Diagnoses Qdrant production issues using metrics and observability tools, covering optimizer problems, memory spikes, and slow queries.

Deploys anomaly detection for industrial control environments using machine learning models trained on OT network baselines, physics-based process models, and behavioral analysis of industrial protocol communications.

Establish a structured patch management program for OT/ICS environments, covering vendor compatibility testing, risk-based prioritization, staged deployment, rollback procedures, and compensating controls for unpatchable systems.

Detects anomalies in Modbus/TCP and Modbus RTU communications in industrial control systems using Zeek, Suricata, and custom Python analysis.

Collects publicly available information about a target organization to identify attack surfaces, social engineering targets, technology stacks, and credential exposures for authorized security testing.

Maps an organization's external attack surface using public sources like DNS records, certificate transparency logs, search engines, social media, and data breach databases, without directly interacting with target systems.

Tracks team OKRs with quarter banner, objective columns, key result progress bars, owner avatars, and status pills.

Configure and manage data quality tests, profiling, alerts, and incidents in OpenMetadata. Use when setting up quality tests, configuring profiler workflows, creating observability alerts, or triaging data quality incidents.

Design SLA monitoring with alerts, dashboards, and reporting. TRIGGERS - Use when user needs help with sla-monitor related tasks.

Design SLA monitoring with alerts, dashboards, and reporting. TRIGGERS - Use when user needs help with sla-monitor related tasks.

Monitor running experiments, check progress, collect results. Use when user says "check results", "is it done", "monitor", or wants experiment output.

Monitors a watchlist of Polymarket markets and surfaces meaningful shifts in price, volume, comments, or resolution proximity, with position context and optional Bankr integration.

OpenTelemetry observability patterns: traces, metrics, logs, context propagation, OTLP export, Collector pipelines, and troubleshooting

OPS environment monitor. Tracks build commands, mapped service servers, ports, logs, and emergency events.

Guides monitoring and observability setup for Qdrant vector search deployments, including Prometheus scraping, health checks, and metric-based debugging of production issues.

Tracks DeFi positions across DEX pools, lending markets, and vaults, alerting only on meaningful changes like APR drops, utilization spikes, or health factor approaching liquidation.

Monitors EVM blockchain addresses and contracts for large transfers, new approvals, contract upgrades, unusual gas spends, MEV interactions, and first-time interactions with new contracts.

Observability and reliability engineer — SLOs, alerting, instrumentation, and incident response.

Trigger: structured logging, tracing, telemetry, SLI metrics, SLO alerts, log formats. Scope: Performance metrics, error tracing, production telemetry. Boundary: Excludes client behavioral product funnels.

Autopilot operator

Monitor system resources with htop and related tools. Use when a user asks to check CPU/memory usage, find resource-hungry processes, monitor server performance, or diagnose system bottlenecks.

Detect anomalies in DNP3 protocol communications used in SCADA systems by monitoring for unauthorized control commands, firmware update attempts, protocol violations, and deviations from baseline traffic patterns using deep packet inspection and machine learning approaches.

Build industrial-grade SCADA/HMI dashboards in MATLAB following industrial-HMI conventions (ISA-101-aligned): gray-field philosophy, alarms at source, write safeguards, fixed-range trends, drill-down layout. Produces a real App Designer app (.mlapp, or plain-text .m+.xml on R2026b+) by handing serialization to the matlab-build-app skill when available, and falls back to a programmatic .m app otherwise. Use when wrapping OPC UA / Modbus / MQTT / OSI PI / PI AF monitoring scripts into a live operator app, building plant overviews, designing operator dashboards, or any time a user asks for a "SCADA dashboard", "HMI", "plant dashboard", "operator screen", or "industrial monitoring app" in MATLAB. Trigger on: SCADA, HMI, industrial dashboard, plant overview, operator screen, uigauge, uilamp, alarm banner, gray-field, ISA-101, OPC UA dashboard, setpoint, write safeguards, alarm visualization, OSIsoft PI, AVEVA PI, PI Server, PI Data Archive, PI AF, PI Asset Framework, piclient, afclient.