
Beyond the
one-off audit.
Expert services that combine hands-on testing, AI-native methodology, and continuous monitoring — so you stay secure long after the report ships.
Pentesting-as-a-Service
Expert-led penetration testing delivered as a continuous service — using the BugsTrace methodology for repeatable, on-demand security assurance.
- Web Application PentestingOWASP-aligned deep testing across auth, sessions, and business logic.
- API & Backend PentestingREST, GraphQL, and gRPC — auth, IDOR, rate-limiting, and abuse cases.
- Mobile App PentestingiOS & Android binaries, transport, storage, and runtime attack surface.
- Cloud & InfrastructureAWS, GCP, Azure misconfig, IAM, and network segmentation review.
- External & Internal NetworkPerimeter and lateral movement across your corporate network.
- Continuous RetestingEvery fix retested and closed out — assurance stays current.
AI Security Audits
Dedicated security audits for AI apps, agents, LLMs, and RAG systems — testing the new attack surface that traditional audits miss entirely.
- LLM Application ReviewPrompt injection, jailbreaks, and output-handling vulnerabilities.
- Agent & Tool-Use SecurityAutonomous agent scoping, tool abuse, and untrusted action chains.
- RAG Pipeline AuditRetriever poisoning, embedding attacks, and data-leakage paths.
- Model Supply ChainWeights, fine-tunes, and third-party model provenance risks.
- Guardrail ValidationPolicy, safety, and refusal-boundary testing under adversarial load.
- Data Exfiltration TestingSystem-prompt leakage and sensitive-context extraction attacks.
Web3 Security Audits
Smart contract, DeFi, and protocol audits with better pricing, faster turnaround, and continuous monitoring after the report ships.
- Smart Contract AuditLine-by-line Solidity review with invariant and economic analysis.
- DeFi Protocol ReviewAMMs, lending, staking — MEV, oracle, and liquidation edge cases.
- Bridge & Cross-ChainMessage passing, signer sets, and replay-safety across chains.
- Formal VerificationProperty-based and symbolic proofs for critical invariants.
- Post-Deployment MonitoringContinuous on-chain monitoring for anomalies after ship.
- Incident ResponseEmergency triage, exploit forensics, and remediation support.
Controlled, not Chaotic.
Every researcher is skill-verified, every engagement is monitored, and every submission is reviewed through a structured workflow giving you trusted results without sacrificing control.
One platform.
Two sides.
BugsTrace connects the companies that need security with the researchers who provide it backed by AI triage, managed comms, and escrow payouts.
For companies
Run private programs and see only triaged, high-signal findings.
For researchers
Get matched to programs you can win and paid through escrow.
For AI teams
Audit LLMs, agents, and RAG systems before attackers reach them.
For Web3 teams
Smart contract and protocol audits with monitoring after launch.
Frequently asked questions
BugsTrace is built for managed disclosure, private bug bounty, pentesting, AI security audits, and researcher-led validation. We help you define scope, invite the right testers, triage findings, and keep remediation moving.
Most launches start with scope, target rules, severity guidance, and intake routing. Once those are clear, BugsTrace can help you move from planning to a controlled private program without making your engineers manage the noise.
Yes. Submissions are checked for scope, duplication, reproducibility, severity, and business impact before they are escalated. Your team gets cleaner reports with remediation context instead of raw inbox churn.
Researchers are matched by verified skill area, submission quality, platform history, and program fit. For sensitive scopes, access can stay private, limited, and controlled from the beginning.
A one-off audit is useful for a fixed launch window. BugsTrace complements it with ongoing coverage, retesting, disclosure operations, and specialist researchers who keep looking after the report ships.
Program data, reports, researcher access, and disclosure workflows are controlled through BugsTrace with clear ownership, permissions, and audit trails for the teams involved.
Yes. You can begin with a narrow private scope, a small researcher pool, or a single assessment track, then expand once the workflow and signal quality are proven.

