Company profile
usecure
Live profile
Automated human risk management platform for MSPs and IT teams to reduce cyber risk, prove compliance and save time with training, phishing and policies.
2020
51-200
Series A ($4.47M)
Public pricing page
AI Classification
usecure is a human risk management (HRM) SaaS platform offering automated security awareness training, phishing simulations, policy management, and dark web breach monitoring. It serves 2,000+ MSP partners and 15,000+ organisations across 30+ countries, with a primary go-to-market motion through the MSP channel.
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usecure is one of 2,671 B2B companies in the Kustiq directory.
usecure sits among 35 msp / mssp companies in our Cybersecurity directory.
Similar profiles: Avoma, Grain, Env0, and The AI Analytics Platform for your whole team.
Both sit in the 51-200 headcount band, and both are at Series A. See usecure vs Avoma side by side.
Both sit in the 51-200 headcount band, and Grain was founded in 2018, 2 years before usecure. See usecure vs Grain side by side.
Both sit in the 51-200 headcount band, and both are at Series A. See usecure vs Env0 side by side.
How usecure compares with other MSP/MSSP companies
usecure is one of 35 MSP/MSSP companies profiled in the Kustiq Cybersecurity directory, which holds 72 Cybersecurity companies in total. Every number below is computed from those profiles.
usecure sits in the 51-200 headcount band. 22% of the 32 segment peers with a known team size are smaller. 31% of those peers share the same band.
The most common tech detections across the 9 peers with a visible stack are Cloudflare (33%), WordPress (22%), and Next.js (11%). usecure lists none of them.
Among the 17 segment companies with disclosed funding, Growth is the most common stage (29%). usecure is at Series A.
The median founding year across 13 peers with a known founding date is 2015. usecure was founded in 2020.
Westford is the most common HQ city in this segment, home to 17% of the 6 peers with a known location.
Benchmarks are recomputed from live directory data, so they move as profiles refresh. Counts cover Kustiq-profiled companies, not the whole market.
How this profile was built
- Live web rendering via Browserless headless Chrome, not a stale cached scrape.
- Search intelligence via Serper API across the company site, LinkedIn, press, and GitHub.
- Claude only picks the buckets. It never decides facts.
- 12-factor churn engine. Deterministic score, zero LLM at scoring time.
- SMTP RCPT TO handshake on every contact, at delivery time on full profiles (paid plan).
This profile was built from 5 rendered pages of usecure.io and search coverage across the live web on .
Read the full methodology in our LLM-readable reference or compare against the deterministic-vs-AI framework.
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