Ida — agentic threat model

Not certain from the listing — likely utilizes a fine-tuned or highly specialized engineering LLM. The primary threat is prompt injection or adversarial manipulation that could trick the model into outputting unsafe drilling parameters or ignoring physical constraints.

Not certain from the listing — requires ingestion of real-time sensor telemetry, geological surveys, and historical drilling logs. Threats include telemetry data poisoning, which could deceive the agent into making incorrect geological assumptions and executing dangerous physical maneuvers.

Not certain from the listing — orchestrates drilling operations via tool calling and API integrations. Threats include insecure tool integration where malicious inputs or logic flaws allow the agent to bypass safety interlocks or execute unauthorized physical commands.

Not certain from the listing — likely deployed in cloud or hybrid edge environments near drilling sites. The critical threat is a lack of network segmentation between the IT-based agent framework and the OT/SCADA networks controlling physical drilling hardware.

Not certain from the listing — requires real-time monitoring and strict guardrails to prevent physical accidents. Threats include blind spots in detecting anomalous agent decisions before they manifest physically, or the lack of a hard human-in-the-loop override.

Not certain from the listing — must comply with industrial safety standards (e.g., API, ISO) and strict access controls. Threats include unauthorized access to the API allowing malicious actors to hijack the agent and control drilling operations.

Not certain from the listing — mentions 'real-time collaboration' which may involve multi-agent coordination or human-in-the-loop. Threats include cascading failures if a collaborative agent or human input is spoofed or compromised.