Security swarms for crypto and Web3.
A smart contract audit covers the code on-chain. Agents attack what sits around it: the dApp frontend, the APIs, the withdrawal flow, and the admin tools that can move funds.
- to verified findings
- <8 hrs
- of agents in parallel
- 1,000s
- false positives
- <1%
Why swarms for crypto and Web3.
Multi-step attack chains
Agents chain steps across deposit, trading, and withdrawal flows, such as racing a withdrawal while changing the address allowlist, to find what single requests miss.
API key and account testing
Agents test with the API keys and accounts you store. They check whether a trade-only key can reach withdrawal endpoints and whether one account can read another's.
Guardrails around funds
Exclude signing services, set the rate limit, and add rules such as "Do not move funds or sign mainnet transactions." Every agent on the target follows them.
Covers the stack around your smart contracts
Thousands of agents test frontends, APIs, and admin tools in parallel. Discovery suggests exposed hosts you haven't added yet.
MindFort is built for your team.
Deploy swarms on your application
Agents attack exchange and wallet apps, trading APIs, and admin tools in the live environment. Connect the repo and they trace each finding back to the code that caused it.
Results in hours
The first verified findings land the same day you start.
- to verified findings
- < 8 hrs
- to first deployment
- < 10 min
Traditional pentests: 2-6 weeks
Agent swarms that scale
Thousands of agents run in parallel, so adding targets doesn't mean adding headcount.
Full MCP & integrations
Start tests from CI/CD, push findings to your tracker, and drive agents through our API and MCP.
- GitHub
- Linear
- Jira
- Slack
Validated findings
Agents validate every finding with a working exploit.
- false positives
- < 1%
- with proof of exploit
- 100%
Every finding ships with steps to reproduce
Audit-ready from the first run
MindFort is SOC 2 Type II compliant, and every run produces evidence for your SOC 2 and ISO 27001 reviews.
Guardrails on every target
Include and exclude the domains, IPs, and routes agents can reach, set rate limits and rules for each target, and review every patch before it merges.
Validated patches
Every confirmed finding can end in a fix, whether it lives in code or cloud infrastructure, and a retest confirms the fix worked.
Code patching via GitHub
Agents generate validated patches and open PRs directly in your codebase, each with a threat model explaining the vulnerability and how it was fixed.
Jira & Linear integration
Findings are automatically filed as tickets in Jira or Linear with full context, so engineers get the evidence where they already work.
Cloud config remediation
Agents remediate misconfigured cloud infrastructure directly, patching IAM policies, security groups, and resource configs across AWS, Azure, and GCP.
Retesting
After a fix deploys, agents rerun the original attack against the live target, and can do it automatically when a patch merges. A finding resolves only when the retest confirms the fix.
Frequently asked questions.
Common questions about MindFort for crypto and Web3 teams.
MindFort tests the applications around your smart contracts: frontends, APIs, wallets, custody flows, and admin tools. Keep a smart contract audit for the on-chain code. The two cover different attack surface, and thefts like Bybit's started off-chain.
Yes. Point them at testnet or staging with funded test accounts, and set rules such as "Do not move funds or sign mainnet transactions." Signing services and other hosts can be excluded from scope entirely.
Yes. Agents test authenticated APIs with the keys and accounts you provide, including key permissions, rate limits, and business logic such as order and withdrawal flows.
Each run produces a pen test report with findings, proof of exploit, fixes, and retests, plus an attestation letter. The evidence supports SOC 2 and ISO 27001 reviews.
Agents write a patch for each verified finding and open a pull request in GitHub with a threat model explaining the vulnerability and the fix. Findings can also be filed as tickets in Jira or Linear with full context. After the fix ships, agents rerun the original attack to confirm it no longer works.