Palantir and Cyber Defence Integration

Security operations centres do not lack data. They drown in it. The problem is that an alert arrives stripped of the context needed to judge it: which system it came from, what that system does, who depends on it, whether the behaviour is unusual for that asset, and whether anything similar happened last month on a different network.

A SIEM holds the events. The context lives in asset registers, configuration databases, HR systems, business continuity plans and the heads of experienced engineers. Joining those is an integration problem, which is why an ontology-based platform has something useful to offer that a log aggregator does not.

Asset context is the unglamorous prerequisite

Most organisations cannot reliably answer what is on their network. Defence organisations, with decades of accumulated estate and deployed systems that appear and disappear, are worse than most. Every mature cyber programme eventually discovers that asset inventory is the foundation it skipped.

Modelling assets as objects with owners, dependencies, criticality and patch state is tedious work with no immediate visible output. It is also what turns an alert from a line of text into a judgement about operational risk. An intrusion on a test rig and an intrusion on a flight planning system produce identical log entries and entirely different responses, and only the context distinguishes them.

Threat intelligence is only useful when it is matched

Most organisations consume threat intelligence feeds and do very little with them, because matching indicators against their own estate at scale is harder than subscribing. The value appears when an indicator automatically resolves against the asset model and produces a specific question: this address appeared in our traffic, from this host, which runs this service, owned by this team.

The same applies in reverse. Behaviour observed locally that matches a known pattern is worth reporting onward, and in a coalition setting that sharing is the whole point. Doing it without disclosing network topology or capability is the governance challenge, and it is a release problem rather than a technical one.

Operational technology changes the rules

Defence estates include industrial control systems, platform management systems and embedded controllers on equipment that will be in service for thirty years. These cannot be patched on a normal cycle, often cannot be scanned without risk, and were designed on the assumption of physical isolation that no longer holds.

For these systems the realistic posture is monitoring and segmentation rather than patching, which means the detection logic has to understand what normal looks like for a specific piece of equipment. That knowledge is engineering knowledge, not security knowledge, and the platforms that work in this space are the ones that let engineers encode it rather than expecting a security analyst to infer it.

Cyber effects on operational decisions

The integration that genuinely matters is between cyber and operations. A commander does not need to know that a server is compromised. They need to know that the compromised server supports a capability they were relying on, and what the alternative is. Most organisations cannot make that connection quickly because the two worlds use different systems and different vocabulary.

Expressing cyber events against the same object model as operational planning is what closes that gap. It is also the point at which cyber stops being a specialist function reporting upward and becomes an input to decisions, which is where it has needed to be for about a decade.

Automation, carefully

Automated containment is attractive until it isolates something that matters during an operation. The sensible pattern is automation for reversible, low-consequence actions, and human authorisation for anything that affects availability of an operational system, with the asset criticality in the model deciding which bucket an action falls into.

AIC works across cyber and operational integration, including the awkward boundary where embedded and legacy systems meet modern monitoring. Our PAL.NET SDK gives .NET teams typed access to Foundry and their own ontology for exactly this kind of integration work.