Autonomous AI agents probe your apps, APIs, and repos for deep logic flaws — prove every one in a sandbox, and hand you the patch.
Test everything you ship Pick a target
GET /v2/orders/{id}POST /v2/searchPOST /auth/sessionPOST /v2/webhooks.patch.md.pdf.sarifAudit-ready reports for
Traditional penetration tests take weeks to schedule and yield static PDFs. RedSuture executes autonomously whenever you ship and delivers surgical fixes your team can apply immediately.
Point your RedSuture Agents at a live URL, an API, a Git repository, or both for white-box correlation. You set the scope and pick the depth — the agents handle the rest.
Autonomous agents run reconnaissance, hypothesis exploration and exploit generation, then prove every finding in an isolated sandbox before it is ever reported.
Every finding ships with a proof of concept and a ready-to-apply patch. Download it, or push it straight to a pull request, an issue, or a cloud mitigation.
Every result is backed by sandboxed evidence and paired with surgical code patches written specifically for your stack.
Validation agents execute each attack tree in an isolated reproduction sandbox. Findings are only confirmed once a working proof of concept succeeds deterministically.
# Request as unprivileged tenant B for order owned by tenant A GET /api/v2/orders/10892?includeInvoice=true HTTP/1.1 Authorization: Bearer <tenant_b_session_jwt> HTTP/1.1 200 OK { "orderId": 10892, "tenantId": "tenant_alpha", "amount": 4200.00 }
SutureEngine synthesizes typed, framework-specific diffs that resolve the root cause without side effects.
- const order = await db('orders').where({ id }).first(); + const order = await db('orders') + .where({ id, tenant_id: req.user.tenantId }) + .first(); + if (!order) return res.status(404).json({ error: 'Not found' });
Download .patch diffs, Markdown guides, executive PDF reports and SARIF files — or push the fix straight into your stack.
Non-destructive payloads, adaptive rate limiting, and strict scope allowlists prevent disruption to production services.
Open a pull request on GitHub, GitLab or Bitbucket, file an issue in Jira or Linear, or apply a mitigation on your cloud — in one click.
A coordinated red team of specialized agents runs every scan — reconnaissance, adversarial exploration, sandbox validation and remediation — tracing authentication flows, business logic and multi-step attack chains that signature tools miss.
Discovers endpoints, parameters, HTTP methods, and exposed surface boundaries.
Formulates multi-step attack hypotheses using frontier AI reasoning.
Deterministically reproduces each exploit in an isolated environment and calculates CVSS vectors.
Synthesizes surgical unified code patches and step-by-step developer remediation guides.
Select any combination of targets. Autonomous agents adapt their reconnaissance and offensive techniques to each architecture.
SPAs, server-rendered apps, and staging environments tested black-box.
Auth flows, object-level access, token handling, and schema exposure.
GitHub, GitLab, and Bitbucket — taint analysis, secrets, and logic flaws.
Pre-deployment packages and services before they reach production.
Source code and live endpoints tested together for code-informed exploits.
Portfolios of microservices, domains, and subnets prioritized automatically.
Each finding is exported in standard formats for immediate developer action and compliance audits — download them, or push them straight into your tools.
.patchReady-to-apply code changes with exact line-by-line syntax tailored to your framework.
.mdRoot-cause analysis, reproduction curl scripts, and step-by-step testing verification.
.pdfCVSS v3.1 scoring, compliance mapping (SOC 2, ISO 27001, PCI DSS), and risk breakdown.
.sarifStructured static and dynamic results ready for CI/CD pipelines, GitHub code scanning, and SIEMs.
@@ -24,8 +24,14 @@ orderController.ts - export async function getOrderDetails(req: Request, res: Response) { - const { orderId } = req.params; - const order = await db('orders').where({ id: orderId }).first(); + export async function getOrderDetails(req: AuthenticatedRequest, res: Response) { + const { orderId } = req.params; + const sessionTenantId = req.user.tenantId; + + // Enforce tenant boundary validation + const order = await db('orders') + .where({ id: orderId, tenant_id: sessionTenantId }) + .first(); + + if (!order) return res.status(404).json({ error: 'Order not found' }); return res.status(200).json(order); }
A finding never just sits in a dashboard. Push the fix straight into the tools your team already uses.
Push the ready-made patch as a branch and PR on GitHub, GitLab or Bitbucket.
File a tracked ticket in Jira or Linear, kept in sync with the finding.
Deploy a temporary edge or WAF rule on your cloud while you ship the real fix.
Continuous autonomous security testing at a fraction of traditional consultancy retainers.
For solo developers and side projects that need real security testing.
For small teams shipping regularly and fixing as they go.
Continuous offensive testing for engineering teams shipping web apps and APIs.
For organizations with complex architectures and compliance mandates.
For security teams needing private deployment and custom models.
Key technical details regarding our autonomous AI security platform, target architectures, and remediation deliverables.
Legacy scanners rely on static regex and signature matching that produce excessive false positives. RedSuture deploys autonomous RedSuture Agents, backed by frontier and open-weight reasoning models, that analyze business logic, chain multi-step exploits, and only report vulnerabilities deterministically reproduced with a working proof of concept in a secure sandbox.
Every validated vulnerability includes a complete remediation package: unified diff .patch files, step-by-step Markdown guides, executive audit PDF reports with compliance mapping, and SARIF v2.1.0 files. Download them from the dashboard, or push the fix straight into your stack — open a pull request, file a Jira or Linear issue, or apply a cloud mitigation.
Your RedSuture Agents run the pentest — the AI model is an engine detail, not something you pick per scan. By default they run on Gemini 4 Argon (our house pick), with an automatic fallback chain — MiniMax M3.1 Flash, DeepSeek V4.1 Flash, GLM-5.3, GPT-5.6 Sol and Claude Opus 5 — so a provider outage never stops a scan. Enterprise plans support bring-your-own-key (BYOK) and private VPC inference.
You pick the depth — Quick, Standard or Deep — right in the dashboard, and optionally add notes for the agents to focus on or avoid. Deeper scans are available on higher plans. The RedSuture Agents handle everything else, including which model to run.
Yes. RedSuture operates with non-destructive payloads and intelligent adaptive rate limiting by default. Teams can also test staging environments, local directory trees, or Git repositories before deploying to production.
Yes. Audit reports are structured according to the rigorous penetration testing standards required by SOC 2 Type II, ISO/IEC 27001, PCI DSS v4.0, HIPAA, and NIST CSF 2.0, documenting testing scope, methodology, CVSS v3.1 scoring, and verified remediation evidence.
You must possess documented ownership or explicit written authorization to perform security testing against the target assets. RedSuture strictly enforces organizational scope verification.
Launch your first autonomous scan in seconds. Get verified proof of concepts and downloadable code patches immediately.