Case studies
Lean teams, outsized coverage
How security teams of five carry the workload of fifty with Cantina: closing every loop from first discovery to verified fix, across smart contracts, bridges, and live infrastructure.
How a five-person team runs like fifty
Cantina's agents carry the repetitive weight, triaging signals, reproducing issues, drafting fixes, and re-verifying they land, so a small in-house team spends its hours on judgment, not toil. The coverage scales; the headcount doesn't.
Every loop closed on record. Logged, attributable, and re-verified after each fix ships.
A typical engagement
- In-house team
- 5
- Effective coverage
- 50+
- Loops closed on record
- 100%
What lean teams ship with Cantina
Across every engagement, the pattern repeats: a small in-house team closes far more of the loop, faster, without adding headcount.
- Coverage per security engineer vs. a traditional audit cycle
- 0× Coverage per security engineer vs. a traditional audit cycle
- Assets under continuous review across active engagements
- $0B+ Assets under continuous review across active engagements
- Programs run by teams of five or fewer
- 0+ Programs run by teams of five or fewer
- Median time from first finding to a verified fix
- 0h Median time from first finding to a verified fix
“We run a five-person security function. Cantina lets us behave like a team ten times that size, every finding gets triaged, investigated, and closed on the record, without us adding a single hire.”
All case studies
Real engagements across the ecosystem, bridges, lending markets, staking, and cross-chain infrastructure, each closed end to end with Cantina.
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Case study
How Clarion brings production context to Dependabot triage
Dependabot Dependency security Vulnerability management -
Case study
Get a free FHIR vulnerability scan before the 2027 CMS deadline
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Case study
A Fix Is Not a Verdict: How Apex Verifies Security Patches
In a frozen three-month production cohort, Fix Review surfaced 97 issues across 62 of 193 fix pull requests. Here is what those patches missed and how Apex verifies them now.
Vulnerability Research Fix Review AI remediation -
Case study
Cantina joins OpenAI’s call for collective cyber defense
Cantina has signed OpenAI’s call for collective cyber defense, supporting wider access to advanced security capabilities for organizations of every size.
Company News OpenAI Cybersecurity -
Case study
Creating a Security Exposure Agent
Build a web exposure analysis agent with Cloudflare Workers. Follow the scans, evidence and false positives that show why HTTP 200 is not proof of exposure.
AI agents Cloudflare Exposure Management -
Case study
Claude Code Telemetry in Clarion | August 26 Changelog
Clarion adds Claude Code and MCP server visibility, human approvals and exposure sweeps. Apex gains Audit Setup, CLI updates and clear scan controls.
Claude Code MCP security Clarion -
Case study
How We Reduced Incorrect AI Fixes by 58%
With the right fix instructions, the strongest model fixed 90.4% of vulnerabilities correctly.
AI security Benchmark Vulnerability Research -
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How Three Numbers Broke Seagate's Memory Bounds
Apex traced three Seagate openSeaChest memory bugs to an overflowing allocation, an inclusive loop, and an unchecked device index.
Seagate openSeaChest Memory Safety -
Case study
Why Not Just Use Claude or Codex?
A same-codebase comparison of Apex, Claude Code Security, and Codex Security across validated findings, token efficiency, false positives, and operator overhead.
AI security Benchmark OpenClaw
Proof on the record, not promises
Every engagement closes the same way: real issues surfaced, fixes driven with context, and each one verified shut. That's how five people cover what used to take fifty.
Run fifty people's coverage with five
See how Cantina closes every security loop for your team, from first discovery to a verified, on-record fix. We'll map it to your stack in a 30-minute walkthrough.