Autonomous cybersecurity for your entire codebase.
Stateward is an autonomous security agent that guards your whole software estate. It reviews every change, audits every dependency, hunts exposed secrets, and catches the logic and correctness bugs careful engineers miss, not just the exploits, then maps your posture to the compliance frameworks that matter, continuously, and purpose-built for the era of AI-generated code.
One ward over the whole state of your systems.
No credit card · Read-only access · Reviews your next PR in minutes
SQL injection via string interpolation
Untrusted req.params.id is interpolated into a query. An attacker can read or destroy the database.
const rows = await db.query('SELECT * FROM users WHERE id = $1', [req.params.id]);- 5 → 1
- tools replaced by one layer
- Every PR
- reviewed inline, with a fix
- Read-only
- we never store your keys
- EU-hosted
- EU data residency
Security is fragmented, and AI broke the old model
Teams stitch together a SAST scanner, a dependency auditor, a secrets detector and a compliance tool, each siloed, noisy and bolted on after the code is written. Worse, AI assistants have multiplied the volume of code per developer while collapsing the depth of human review per line, opening attack surfaces no legacy tool was built to audit. And a real security team, the thing that ties it all together, is a luxury only large organisations can afford.
One autonomous layer, from commit to production
Stateward replaces the fragmented stack with a single autonomous layer. It lives where your code does, reviews every pull request inline, audits dependencies and secrets on every change, and watches the whole surface, flagging risk, explaining it in context, and proposing the fix. The first security ward designed from day one for AI-generated and agentic code.
Most scanners bury you. Stateward hands you the fix.
The reason security tools get muted isn’t missing coverage, it’s noise. A wall of red, the same issue reported five times, thousands of findings on code you didn’t touch. Stateward is built the other way around.
Triaged in context
Every finding is weighed against your actual code and config. Unreachable or non-exploitable issues are deprioritised before they ever reach you.
Deduplicated across engines
Static analysis, dependencies, secrets and the AI reviewer all run together, the same issue surfaces once, with one final severity, not five times.
Scoped to your diff
Stateward comments on the lines you changed, not a 4,000-item backlog of pre-existing debt nobody will ever read.
Vulnerable dependency: axios@1.4.0
Server-side request forgery in the bundled follow-redirects. Fixed in 1.7.4.
- "axios": "1.4.0"
+ "axios": "1.7.4"It guards where your code already lives
Install once. Stateward reviews every change from inside your pull requests, no pipeline rebuild.
Connect your repos
Stateward installs as an app on GitHub or GitLab, no pipeline rebuild required.
It reviews every change
On each pull request, Stateward posts inline findings, injection, broken auth, insecure crypto, SSRF and more, each with a severity and a one-click fix.
It guards the supply chain
Every dependency is checked for known CVEs, typosquatting and maintainer risk; every diff is scanned for leaked keys, tokens and credentials.
It audits AI-written code
Stateward flags the failure patterns unique to generated code, insecure defaults, over-permissive configs, hallucinated APIs, that no other tool targets.
It maps to compliance
Findings are tied to OWASP Top 10, CWE, NIST, SOC 2 and GDPR controls, turning security work into audit-ready evidence.
How Stateward reaches a verdict you can trust
Depth is the whole point. Every change runs through a five-stage pipeline built to surface real, exploitable issues, and to throw away the noise that makes other scanners unusable.
- 1
Understand
The change is read against a knowledge base of the whole codebase, call graph, trust boundaries, reachable dependencies, so context a diff can’t show is in scope.
- 2
Classify
A model maps the domains in play, the invariants that must hold, and the threat model, so the right specialists are pointed at the right surfaces.
- 3
Hunt in parallel
Deterministic engines (dependencies, secrets, IaC, SAST) and specialised adversarial agents run at once, each attacking one class of vulnerability.
- 4
Validate
Findings are normalised, deduplicated, boosted by cross-agent convergence, then refuted adversarially. Weak claims are dropped; linked issues compose into exploit chains.
- 5
Verdict
What survives is severity-rated, carries a reproduction, and is posted inline with a clear verdict, real, exploitable findings instead of a backlog of noise.
The whole surface, one layer
Four siloed tools and a security team, replaced by one autonomous agent.
Inline PR security review
Static analysis that lives in the pull request. Injection, broken auth, insecure crypto, SSRF and more, flagged in context, with severity and a suggested fix.
Supply-chain & dependency audit
Every added or changed dependency checked for known CVEs, typosquatting, supply-chain risk and maintainer reputation, before it reaches production.
Secret & source-map exposure detection
Every diff scanned for leaked API keys, tokens and credentials, plus source-map exposure, committed .map files, a stray sourceMappingURL, or a build config that ships your original source to production, flagged as CWE-540 at the commit, not after it’s public.
AI-generated code audit
The category every incumbent missed. Stateward targets the failure patterns of Copilot-, Cursor- and Claude-written code: insecure defaults, over-permissive configs, hallucinated dependencies, prompt-injection surfaces.
Compliance mapping
Findings tied to OWASP Top 10, CWE, NIST, SOC 2 and GDPR technical controls, audit-ready evidence generated as you ship.
Whole-surface posture
Code, dependencies, secrets and compliance watched from commit to production, one autonomous layer instead of four siloed tools.
Whole-codebase knowledge base
Stateward builds a model of your whole project, call graph, trust boundaries, dependency reachability, so it sees the cross-file flaws a line-by-line scanner is blind to. The worst vulnerabilities never live in a single diff.
Adversarial multi-agent deep audit
Beyond the diff, Stateward attacks the system: it classifies the codebase, runs specialised agents in parallel per domain, then validates each finding through convergence and refutation, returning a verdict with reproductions, not a checklist.
Logic & correctness, not just exploits
Most damage is an honest mistake, not an attack: an ID column nearing its integer limit, money handled in floats, a broken invariant no one expected to break. Stateward’s deep audit reasons about what your code must guarantee and tries to break it, catching the correctness and safety bugs that cause outages, the way a human auditor would.
Cross-branch & merge-induced detection
The flaw nobody else catches: two branches each safe on their own, but merging them into develop creates a new vulnerability. Stateward reasons over the prospective merged state and flags it before it ships.
The risk surface every incumbent missed
Copilot, Cursor and Claude Code now write a large and rising share of production code, with less human review per line than ever. That opens failure modes legacy scanners were never built for: insecure AI-suggested patterns, hallucinated dependencies, over-permissive defaults, prompt-injection surfaces. Stateward is the first ward built from day one to audit autonomous code contributions.
- Insecure defaults & over-permissive configs
- Hallucinated and typosquatted dependencies
- Prompt-injection surfaces in generation
- Patterns no SAST tool was trained to catch
One layer, or the stack you’ve stitched together
You already have options: a drawer full of point tools, or an AppSec hire most teams can’t justify. Here’s how Stateward compares.
| Stateward | Point tools, stitched | In-house AppSec team | |
|---|---|---|---|
| Inline PR security review (SAST) | ✓ | ◐ | ✓ |
| Dependency & supply-chain audit (SCA) | ✓ | ◐ | ✓ |
| Secret detection on every diff | ✓ | ◐ | ◐ |
| AI-generated-code audit | ✓ | - | ◐ |
| Compliance mapping (OWASP · SOC 2 · NIS2) | ✓ | - | ◐ |
| Unified triage & deduplication | ✓ | - | ◐ |
| One-click verified fixes inside the PR | ✓ | ◐ | - |
| EU hosting & data residency | ✓ | - | ◐ |
| What it costs | From $0, no seats | A bill per tool | A salaried headcount |
Comparison reflects typical point-tool stacks and in-house coverage; capabilities vary by vendor and team.
Your code is the most sensitive thing you own
A security tool that mishandles your source code is worse than no tool at all. Stateward is built so the worst case is a comment.
Read-only access
Stateward reads diffs to review them. It cannot push, merge or alter your code, the worst case is a comment.
Your keys stay yours
You authorise through your provider’s OAuth. Stateward never asks for, sees or stores your source-control credentials.
Ephemeral analysis
Code is reviewed in an isolated, short-lived environment and discarded the moment the review is posted. Nothing lingers.
Sovereign by default
Stateward runs on EU infrastructure with EU data residency, so your code never leaves a jurisdiction you trust.
Sovereign EU hosting
Stateward runs on sovereign Citadea infrastructure with EU data residency.
Audit-logged
Every review, finding and access event is logged, the evidence trail your auditors and regulators ask for.
It lives where your code already does
Install once and Stateward works inside the tools your team already opens every day, no pipeline rebuild, no new dashboard to babysit.
Source control
CI / CD
Alerts & tickets
Editors & agents
Security work, turned into audit-ready evidence
Every finding is mapped to the frameworks your auditors and regulators ask for.
Code volume and compliance weight are both climbing, human review can’t scale to either
AI now writes a large and rising share of production code, while NIS2, DORA and the Cyber Resilience Act turn security from optional to mandatory across European software. Both curves are steepening at once, and no team can hire its way out.
Founder-led, built to outlast the founder.
A security tool I trust enough to point at my own code
Stateward is built end to end at Yggdrasil Digital, the founder-led engineering studio behind it, with deep roots in web3, fintech and autonomous systems.
It reviews its own code
Every pull request that builds Stateward is guarded by Stateward. The tool reviews the very code that ships it, the strictest QA loop there is, and proof it works on real code.
Part of a sovereign ecosystem
Stateward is the security layer of the Yggdrasil ecosystem, built on the same sovereign Citadea foundation that powers the ecosystem.
I built Stateward because I needed it myself, a security team I could never have staffed, watching every line, on infrastructure I actually control. Turning a decade of bug-bounty and CTF instinct into a guard that never sleeps.
The engine runs on open foundations, deploys to infrastructure you control, and is read-only by design, so betting on Stateward never means betting on one person.
Everything you’d ask before connecting a repo
Straight answers on how Stateward works, what it can touch, and where your code lives.
What is a merge-induced vulnerability, and how does Stateward catch it?
It is a flaw that exists in neither branch on its own but appears when two branches merge, for example one branch adds a handler that forwards a user-controlled URL while another quietly drops an allowlist, and together they create an SSRF. Per-PR scanners miss it because each diff looks safe. Stateward reasons over the prospective merged state of the codebase, so it flags the interaction before it reaches your default branch.
Why review the whole codebase instead of just the diff?
The worst vulnerabilities rarely live in a single diff. A change that looks harmless can pipe user input into an unsafe function defined in another file, or reach a sink through a chain of calls a line-by-line scanner never sees. Stateward builds a knowledge base of the whole project, call graph, trust boundaries and dependency reachability, so it analyses the change in the context that actually determines whether it is exploitable.
How does Stateward avoid drowning me in false positives?
Every candidate finding is validated before you see it: results are deduplicated across engines, strengthened when independent agents converge on the same issue, then attacked adversarially, can it actually be reached and triggered, what is the real impact. Weak claims are dropped and only severity-rated findings with a reproduction are posted, scoped to your diff, not a 4,000-item backlog.
How is Stateward different from Snyk or Aikido?
Stateward unifies SAST, dependency auditing, secret detection, AI-generated-code review and compliance mapping into one autonomous layer, then triages and deduplicates across all of them so you get fixes, not a wall of red. It is built from day one for AI-written code and hosted on EU infrastructure with EU data residency.
Does it actually understand AI-generated code?
Yes, that is the category it was built for. Stateward targets the failure patterns specific to Copilot-, Cursor- and Claude-written code: insecure defaults, over-permissive configs, hallucinated or typosquatted dependencies, and prompt-injection surfaces no legacy scanner was trained to catch.
Will it spam my pull requests with noise?
No. Findings are scoped to the lines you changed, deduplicated across every engine, ranked by real exploitability, and re-pushes update the existing review instead of posting duplicates. You set the minimum severity and ignore paths per repo.
Can Stateward see or change my code?
It has read-only access, granted through your provider’s OAuth, it can comment but never push, merge or alter code. Stateward never stores your credentials, and code is analysed in an isolated, short-lived environment that is discarded once the review is posted.
Where is my code hosted and processed?
Today your code is processed on sovereign EU infrastructure with EU data residency, so your code, findings and security data stay inside EU jurisdiction.
What if Stateward goes away?
Nothing breaks. Stateward is read-only and adds nothing to your pipeline, removing it is one click and you’re exactly where you started. Analysis runs on open engines, not a proprietary black box, and we offer source & continuity escrow so the engine is always maintainable.
What does it cost?
Deterministic scanning is free on every tier. The AI analysis is metered in credits, where one credit is one dollar. Open source and solo devs are free: every public repo gets free deterministic scanning, open-source projects can request a sponsored AI-analysis grant by emailing hello@stateward.com, and private repos get a monthly credit grant. Teams are $40/month for a credit allowance plus the platform; enterprise is custom. No seats, no per-repo counting, no credit card to start.
Do you charge per developer or per repo?
Neither. Your bill never grows because you hired, because a bot pushed code, or because you split a service into more repositories. You pay a small subscription plus credits for the AI analysis you actually use, and the deterministic scanners are always free.
What does it take to get started?
Install the app on GitHub or GitLab and grant read-only access to the repos you choose. There is no pipeline to rebuild, Stateward reviews your next pull request automatically.
Does it replace my security team?
It gives teams that could never staff an AppSec function the coverage of one, and it makes existing security teams faster by handling the repetitive review, triage and evidence work. It supports human judgement, it does not replace it.
Every line watched, every dependency vetted, every secret caught. Automatically, for everyone, not just those who can afford an AppSec team.
Put a ward over your codebase today
Free for individuals and open source. Connect a repo and Stateward starts reviewing your next pull request.
No credit card · Read-only access · Reviews your next PR in minutes