Resumes are going extinct.Evidence isn't.
Every candidate verified across 100+ data points from independent sources.
Identity
IRONCLAD
6 sources corroborate
Corroboration
3+ sources
Same fact, independent confirmation
Certifications
CKA · CISSP
Credly verified · badge active
Skills
ESTABLISHED
5 verified across GitHub, Credly, Patents
Alex Rivera
Senior Cloud Engineer / SRE · Washington, DC · 17 yrs
VERIFYING...
⬡ ALLOY ID · EVIDENCE MATRIX
● SCANNING SOURCES
Our Verification Sources
Every claim cross-referenced. Zero AI opinions.
Every claim tested
Your resume says you worked there. We check government registries, certification authorities, code repositories, and patent databases to see if that's true. Not one source. All of them.
Truth compounds
When three independent sources confirm the same fact, confidence compounds. Intelligence analysts call this corroboration. We built it into every score.
No black boxes
Every point is traceable. Same evidence in, same score out. No AI decides your fate. No recruiter's gut-feel inflates the number. Just verifiable facts and transparent math.
engine.beskar.io/verify · alex-rivera-demo
✓ VERIFIED
← Slide to verify
Pull the resume right
to corroborate every claim →
22 INDEPENDENT SOURCES · ALEX RIVERA
VERIFIED
1 THE RESUME → ALLOY ID
Senior DevSecOps Engineer · Alex Rivera
MAR 2023 - PRESENT · WASHINGTON, DC
Lead platform engineer for a zero-trust Kubernetes runtime serving four DoD program offices. Authored the Terraform modules and Istio service-mesh policy bundle.
Built the runtime attestation system, granted as a US utility patent, using eBPF and Open Policy Agent for air-gapped workloads.
Owned the SLSA Level 3 build provenance pipeline in Go. Mentored 6 engineers through CKA certification. Side project: WebAssembly sandboxing (candidate-declared).
○ Verified skills · proof-backed
✓ KubernetesCredly
✓ TerraformGitHub
✓ GoGitHub
✓ eBPFIEEE
✓ CKACredly
· WebAssemblycandidate-declared
Built for defense hiring
Scoped to the role
you're hiring for.
13Defense families
98Role-models+6 this qtr ↗
100+Data points
Tell Beskar the role. It scopes verification to that exact skill set, even when the skills blend. And when a candidate spans several roles, it weighs their real mix instead of forcing them into one box.
- Scope. The lens takes the shape of the role you're hiring for, down to the skill set.
- Balance. Candidate split across several roles? Their real distribution is weighed, never flattened into one box.
- Verify. A fair, role-scoped result in tiers, never a black-box number.
And it compounds. Every candidate sharpens the model: Beskar discovers new role-models as new skills surface in the talent pool, so it reads each candidate more precisely every month than the last.
Catalog grows ~2–3/mo · defense-tech, Beskar-curated
Hiring for
Cyber Engineer
Standards Author
Contracts Lead
Code
Clear
Pubs
Contract
CTF
Certs
Patents
SAM.gov
This candidate's real mix
58% Security30% Standards12% Program
Balanced, never boxed, then scored fairly for the role you're filling.
Used by defense companies, including Google Cloud's top DoW partners
40 → 80
Doubled headcount on Beskar
85%+
Of new hires placed via the platform
0
Mis-hires since Beskar adoption
45d
Avg time-to-hire on cleared AI roles
Cleared talent is the rarest profile in defense. Every prime, every SDVOSB, every AI-native delivery partner is hiring against the same constrained pool, and a single mis-hire on a cleared program costs $200K+ in billable burn, re-vetting, and program risk. Beskar is the verification layer for the entire cleared workforce: engineers, cyber, intel, acquisition, and more.
Real JD matching with
real verified data. No black-box AI.
A single deterministic % per candidate, computed by intersecting the JD's required skills against the candidate's verified evidence: Credly badge skills, GitHub top languages, claimed stack. The same number whether you drop a JD on Verify Direct or a candidate applies through Beskar Jobs.
⬡Verify Direct
Drop a JD alongside a resume.
Recruiter pastes a JD on Verify, candidate is parsed, the same engine intersects the JD's required skills with what's been independently confirmed. No subjective fit score, just the percentage.
○Beskar Jobs
Candidate applies to a posted role.
JD already has structured required-skill data from the job posting. The same engine runs at apply time. The match % lands on the candidate record in your ATS as a custom field.
DETERMINISTIC · NO LLM IN THE SCORING PATH · ONE FUNCTION · SAME RESULT EVERY TIME
🔒
DFARS 252.204-7012 compliant
🛡
CUI Compliant: raw documents purged, intelligence retained
⬡
SOC 2 Type II in progress
The platform that powers
defense teams to scale
without a single mis-hire.
Join the defense companies building America's AI capability on verified talent.
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