Agent Breach provides automated penetration testing and DAST for web applications and APIs—30+ attack engines, GitHub pull request security scanning with Semgrep, Gitleaks, Trivy, and OSV Scanner, authenticated scanning, and AI-assisted reports. Find exploitable issues before attackers do.
Our AI orchestrates 45+ DAST engines to simulate real attackers on every deploy. OpenAPI-aware API fuzzing, GraphQL depth testing, OAuth/OIDC security, chained attack paths, and LLM-explained remediation—in minutes, not weeks. Point your URL at us and go.
Quarterly pentests and ad-hoc scanners leave months of blind spots while you ship every week. Here is the program most teams inherit—and how continuous offensive security changes it.
Q1: Scope & procure
Scoping calls, SOW cycles, and vendor scheduling before testing even starts.
Weeks of waiting
Lead time from kickoff to first finding—often longer than your sprint.
One PDF per quarter
A snapshot report that ages the day you ship the next release.
Ship in the gaps
New features and endpoints go live untested until the next assessment.
Minutes to start
Add a URL—first exploitable findings in about 3–5 minutes. No agents on your servers.
Every deploy & PR
Continuous simulation when you ship, not when the vendor calendar allows.
Living findings
Exploitability-ranked issues with reproduction steps in-app—not a stale PDF alone.
Chained attack paths
AI orchestrates 30+ engines to connect flaws across releases, like a real attacker would.
Agent Breach replaces the quarterly snapshot model with continuous offensive simulation for web apps and APIs you ship every week.
Signature scanners replay templates. Real attackers read responses, adapt, and chain weaknesses. Our LLM orchestrates 30+ industry pentest engines through that same loop—not instead of them.
Traditional DAST fires known payloads and lists isolated hits. Attackers probe auth flows, chain IDOR with injection, and pivot across endpoints. That requires reasoning—not just signatures.
Discover
Map endpoints, OpenAPI specs, GraphQL schemas, auth surfaces, and technology—authenticated and unauthenticated.
Orchestrate
The LLM selects the next tools and tests via MCP based on what each response reveals.
Chain
Connect injection, access-control, and session flaws into exploitable attack paths.
Rank
Prioritize by exploitability and business impact—not raw alert volume.
Explain
LLM-enhanced reports with clear remediation—not a raw tool dump.
Transparent stack: Nuclei, SQLMap, Nikto, and 30+ more—coordinated by AI, not a black-box agent alone.
Built for teams who ship faster than their pentest calendar—and need offensive security that keeps pace.
Continuous offensive simulation every deploy—not one snapshot per quarter.
First findings the same day. No vendor scheduling or SOW cycle.
LLM-driven orchestration chains 30+ engines into exploitable paths—not isolated scanner output.
CI/CD and PR comments — security keeps pace with how you ship.
Most security stacks mix categories. Here is how common approaches compare for web apps and APIs you ship continuously.
| Signature DAST / monitoring | PTaaS / human pentest | Agent Breach | |
|---|---|---|---|
| Best for | Broad CVE & misconfig monitoring | Deep creative testing, compliance sign-off | Continuous web/API offensive simulation |
| Cadence | Scheduled scans | 1–4× per year | Every deploy + PR |
| Output | Isolated findings | PDF + human narrative | Chained paths, repro steps, attack graph (paid) |
| Time to start | Days to weeks of setup | Weeks to months | Minutes |
| Auth testing | Often limited | Strong | OAuth, SAML, cookies, API keys |
| Pricing entry | Mid-tier subscriptions | Five–six figures annually | Free scan + Team self-serve |
Agent Breach is EU-hosted SaaS with no install on your infrastructure. See FAQ for comparisons to specific vendors.
Connect the GitHub App to run hosted pull request scans with check runs, inline review comments on changed files, and a clear pass/warn/fail policy.
Static analysis for insecure code patterns across the PR branch.
Detect hardcoded API keys, tokens, and credentials in repository files.
Dependency CVEs and IaC misconfigurations on the checked-out filesystem.
Known vulnerabilities in lockfiles and dependency manifests.
Repository supply-chain hygiene checks below configured thresholds.
GitHub Actions pinning, permissions, and least-privilege workflow checks.
Flags added, changed, or removed lockfiles and manifests vs the PR base branch.
Most engines analyze the PR branch snapshot (head commit). Dependency manifest delta compares base vs head lockfiles. Inline GitHub comments prioritize files changed in the pull request.
GitHub PR scanning is available on paid plans with explicit hosted-scan consent.
Exploitability-ranked findings, reproduction steps, executive summaries, and certification-ready exports—not a raw tool dump.
We do not certify your organization. On paid plans, export audit-ready evidence you can attach to GRC workflows, customer questionnaires, and auditor reviews.
PCI-DSS ASV-style templates document vulnerability assessment findings—they do not constitute PCI ASV certification or a Qualified Security Assessor attestation.
No setup project. No agents. Add a URL and go.
~2 min setup
Staging or prod. Optionally add OAuth, SAML, API key, or session cookie.
~3–5 min to first finding
AI orchestrates 30+ parallel engines, chaining injection, auth bypass, and access-control flaws into real attack paths.
Same day
Exploitability-ranked findings with reproduction steps. Export or pipe to CI.
No credit card. No agents. AI-orchestrated offensive security with first results today.