The same intelligence workflow behind every use case, tuned to the adversaries that target your sector, and to what your team needs to produce.
Three ways teams put the same workflow to work.
Collection and analysis of open-source threat data, turned into actionable, audit-ready intelligence.
Learn more →Filter tens of thousands of CVEs down to the ones being actively exploited in the wild.
Learn more →A dated record of what you prioritised, what you collected, and who you told, without assembling it after the fact.
Learn more →Collection is tuned to the adversaries and attack patterns that target your industry.
Banks, insurers, asset managers and payment processors face the most concentrated cyber-threat environment of any industry.
Learn more →Agencies, defence contractors and public-sector bodies face sustained, well-resourced nation-state targeting.
Learn more →Hospitals, payers, life-sciences firms and device makers are relentless ransomware targets, with the highest average breach cost.
Learn more →Don't see your sector? Conundrum maps your workflow to the frameworks that apply and tunes collection to the threats you actually face.
Step five feeds back into step one. The workflow runs continuously, not once per audit.
Risk-based requirements, agreed with the people who act on them.
Validated open sources, gathered continuously against those requirements.
Analyst-grade and corroborated, checked against the sources it came from.
A record of who saw what, and when.
Priorities tuned as the threat picture shifts.
Running this workflow leaves a record: the requirements that were in force, what was collected against them, what your analysts did with it, and who it reached. That record is dated, and it is a by-product of the work rather than a reporting exercise at the end of it.
These are the regimes our clients answer to. Conundrum produces the intelligence record they ask you to keep. It is not a compliance tool and does not assess you against a control set.
A demo runs on your sector's intelligence, not a canned dataset.
