Why One Cryptographic Discovery Method Is Not Enough
Every discovery method is blind somewhere.
Every way of finding cryptography answers a slightly different question. Scanning a host tells you what is installed on it. Probing an endpoint tells you what it offers. Watching the network tells you what connections actually negotiated. Reading source code tells you what developers wrote. Each is accurate, and each is blind to what the others can see.
That is why a single-method inventory is never simply incomplete in a random way. It has a hole, and the hole tends to line up with exactly the systems that are hardest to reach, least documented, and most critical. The appliance nobody can install software on. The service nobody put on a scan list. The outbound connection with no endpoint to point anything at.
Seven Ways to Discover Cryptography Across Your Environment
There are seven practical ways to find cryptography in an enterprise. Each one sees something the others cannot.
| Vantage point | What it sees | Where it is blind |
| Host agent | Everything installed on a machine: system crypto libraries, application libraries, algorithm use in code, certificates, and TLS configuration | Anything it cannot be installed on — appliances, managed services — and it requires a rollout |
| Source repository scan | Libraries, algorithm call sites, and certificates committed to code, with no agent anywhere | What is actually deployed and how it is configured at runtime |
| CI/CD pipeline | What is about to ship, at the moment it can still be stopped | Everything already running in production |
| Active network probe | What each endpoint offers — protocols, cipher suites, key exchange groups — without touching the host | What connections actually negotiate, outbound connections, and anything not on the target list |
| Passive network sensor | What real traffic actually negotiated, including on assets nobody knew to scan | A server’s full preference list, anything off the monitored segment, and the host’s internals |
| Existing discovery and PKI tools | Inventory an organization has already invested in | Only as broad as that tool’s own coverage |
| Imported SBOMs and CBOMs | Declared components from internal builds and suppliers | Only as accurate and current as the document itself — declared, not observed |
Read down the right-hand column and a pattern appears: almost every method’s blind spot is covered by a different method’s strength. The agent cannot reach the appliance; the passive sensor sees its traffic. The network probe cannot see what connections actually use; the sensor can. The sensor cannot see inside a host; the agent can. Repository scanning cannot tell you what shipped; the pipeline and the agent can.
How to Combine Cryptographic Discovery Data Into One Inventory
Combining them is the hard part.
If the answer were simply “use all seven,” this would be a short post. The difficulty is that seven sources do not naturally produce one inventory. Left alone, they produce seven, and three problems show up almost immediately.
One Asset Can Appear in Multiple Discovery Sources
One asset, seen five ways. The same load balancer appears as a host in the agent’s data, an endpoint in the probe’s, a traffic destination in the sensor’s, and a component in someone’s SBOM. Unless those collapse into one record, the inventory counts it four times, the risk score counts it four times, and four different people get assigned the same fix.
Conflicting Cryptographic Data Can Reveal Risk
Sources disagree. The probe says an endpoint offers post-quantum key exchange; the sensor says its traffic negotiated classical. The natural reflex is to treat that as a data quality problem and let the newest reading win. It is the opposite. These disagreements are often the most important finding in the estate, and an inventory that reconciles it away has discarded the one thing worth knowing.
Unknown Does Not Mean Clean
“We couldn’t look” is not “there is nothing there.” A repository that failed to clone, a network segment the sensor does not cover, a field an older agent does not report — each of these produces an empty result. If empty is read as clean, the inventory quietly fills with false assurances, and they cluster, again, in the places hardest to see. Every source has to be able to say “I don’t know” and have it recorded as such.
How to Build Cryptographic Discovery Coverage Over Time
You don’t need all seven on day one.
None of this means a program has to deploy seven things before it can begin. That would be its own form of the paralysis that stalls PQC migration efforts. The better approach is to sequence by coverage gained per unit of effort.
Start with the sources that need nothing installed. A repository scan covers the application estate in days, with no change window on any host. An active network probe covers what the organization exposes, internally and externally, from a single point. Between them, most programs get a credible first picture in their first month.
Add the imports next, because they are nearly free. SBOMs the organization already produces, CBOMs from suppliers, and output from discovery or PKI tools already in place cost an upload and immediately widen coverage.
Then add depth where it matters. Host agents go first on the systems the CMDB says are most critical, where knowing exactly what is installed justifies the rollout. A passive sensor goes where agents cannot — appliances and segments that must not be actively scanned — and where the question is whether post-quantum key exchange is actually in use rather than merely configured. The CI/CD gate comes once the backlog is under control, so that the estate stops refilling as fast as it is fixed.
The order will vary by organization. The principle does not: breadth first from sources that cost little, depth where the business context says it is worth it.
How SafeLogic CPM Unifies Cryptographic Discovery
SafeLogic CPM supports all seven vantage points and treats them as one pipeline, not seven products. Host agents, GitHub repository scanning, a CI/CD scanner that can act as a build gate, a scheduled network prober, a Zeek-based passive sensor, a Keyfactor AgileSec discovery feed, and SBOM and CBOM import all produce the same kind of evidence and run through the same classification, scoring, and policy engine.
Correlation is built into ingest. Each asset gets a deterministic key, so the load balancer seen by four sources becomes one record listing all four — and when those sources disagree, CPM keeps both readings rather than letting the newest overwrite the others. The endpoint that offers post-quantum key exchange but is observed negotiating classical is shown as exactly that, not averaged into “ready.”
Every source can say it could not see something. A repository that could not be scanned is counted as unread, not clean; a passive sensor’s inability to see a preference list is recorded as unknown, not empty; a field an older agent does not send is treated as missing, not as zero.
Every source feeds the same asset record, carrying CMDB and SIEM context, which connects the discovery described here to prioritization and remediation.
One Cryptographic Inventory, Honestly Assembled
SafeLogic CPM started from a simple observation: a cryptographic inventory can be true and still wrong, complete and still useless, and thorough and still stalled. The hard part of cryptographic posture was never finding cryptography. It is assembling what you find into one honest picture, knowing what that picture cannot see, and turning it into changes an organization will actually make.
A good place to test your own program: pick your most critical system and ask how many independent sources would have to be wrong for your inventory to be wrong about it. If the answer is one, that is where to start.
If you would like to talk through where your coverage is thinnest, our team is available for a PQC consultation.
