Autonomous security testing

Find every vulnerability before attackers do.

Specter deploys autonomous AI agents that think like real attackers. They explore your application, exploit its weaknesses, and prove every finding with a working proof-of-concept — so your team fixes what's genuinely exploitable, not a pile of false alarms.

Specter Findings Dashboard
Hours, not weeks
Zero false positives
100+ vulnerability classes
Why Specter

Manual pentests can't keep up. Scanners cry wolf.

You ship every day, but a traditional pentest happens once or twice a year — and costs a fortune each time. Meanwhile static scanners bury your team in thousands of unverified alerts, most of which aren't even reachable. The gap between how fast you deploy and how fast you're tested is exactly where breaches happen.

Periodic pentests are too slow.

Weeks of lead time for a point-in-time snapshot that's stale the moment you merge again.

Scanners are noisy.

Pattern-matching flags theoretical issues with no proof, and your engineers lose days triaging false positives.

Coverage gaps are risk.

Everything you shipped between tests goes untested — and an attacker only needs one way in.

How it works

Continuous autonomous protection

01

Point Specter at your target

Connect a repository, a staging URL, or an API. Define your scope and rules of engagement in plain language — no scripts to write.

02

Agents go on the offensive

A graph of specialized agents maps your attack surface and probes it dynamically, exactly like a real adversary — driving a real browser, intercepting traffic, running commands, and writing custom exploit code on the fly.

03

Every finding is proven

Specter never guesses. It confirms each vulnerability with a real, reproducible proof-of-concept and exact reproduction steps, so what reaches you is genuinely exploitable.

04

Ship the fix

Each finding arrives with clear impact, hard evidence, and a remediation ready to merge. Wire Specter into CI to block exploitable code before it ever reaches production.

Capabilities

Deep offensive intelligence

Autonomous discovery

Agents explore your app end to end, mapping routes, parameters, and authentication flows with no playbook to follow.

Real exploit validation

Every finding ships with a working proof-of-concept and reproduction steps. Zero false positives by design.

Full offensive toolkit

HTTP proxy, headless browser, terminal, Python runtime, automated recon, and dynamic code analysis — out of the box.

Graph of agents

Specialized agents work in parallel and share discoveries in real time to build deeper context.

100+ vulnerability classes

From IDOR, SQL injection, SSRF, and XSS to XXE, RCE, JWT flaws, race conditions, and misconfigurations.

Remediation-ready reports

Structured impact, evidence, and fixes that drop straight into Jira, Linear, or a pull request.

CI/CD native

Run on every pull request and block exploitable code from merging. Exits non-zero immediately on critical finds.

Continuous coverage

Specter re-tests as your code changes and dynamically builds on what it learned from past scans.

Coverage

What Specter tests

Access control
IDOR · privilege escalation · authentication bypass
Injection
SQL · NoSQL · command injection
Server-side
SSRF · XXE · insecure deserialization
Client-side
XSS · prototype pollution · DOM-based flaws
Business logic
Race conditions · workflow abuse · state manipulation
Authentication
JWT weaknesses · broken session management
Infrastructure
Misconfigurations · exposed services
Architecture

A team of agents, not a single model.

Specter runs a graph of specialized agents that divide and conquer your attack surface. An orchestrator delegates to focused agents — one maps reconnaissance, another hunts injection, another stress-tests auth and business logic — and they collaborate in real time, sharing every discovery. You get the breadth of a full red team with the speed and consistency of automation.

Graph of Agents Architecture Diagram
Proof, not guesswork

No more unverified reports

Every Specter finding looks like this: an exploit that actually ran, the evidence it produced, the business impact, and a fix you can merge.

specter-agent-injection-07
[CRITICAL]  SQL Injection — GET /api/orders?id=agent: injection-07     status: VALIDATED with PoC payload    id=1 UNION SELECT email, password_hash FROM users--response   HTTP 200 · 412ms · 3 records returnedimpact     Full read access to the users table (PII + credentials)fix        Parameterize the query · suggested patch ready in PR #482
Use Cases

Built for every team that ships

Application security teams

Continuous, validated coverage in the long gaps between annual pentests.

Pentesters & bug bounty hunters

Automate recon and PoC generation, and spend your time on the creative, high-value bugs.

Fast-moving startups

Ship daily with security testing that runs on every pull request — no dedicated security hire required.

Security & trust

Tested safely. Built with trust.

Sandboxed execution

Agents operate in isolated, ephemeral environments.

Scoped and controlled

You define exactly what's in scope and the rules of engagement, including rate limits.

Your data stays yours

Specter tests your systems; it doesn't hold on to your code.

Enterprise controls

SSO (SAML/OIDC), audit logging, and self-hosted or VPC deployment available.

FAQ

Frequently asked questions

How is this different from a vulnerability scanner?
Scanners pattern-match and hand you a pile of unverified alerts. Specter behaves like an attacker — it actually exploits issues and proves them with a proof-of-concept, so every finding is real and worth your time.
Will it break my production systems?
Point Specter at staging or a dedicated environment and set the scope, rate limits, and rules of engagement. Agents stay strictly within the boundaries you define.
What can it test?
Web applications, APIs, and the infrastructure behind them — over 100 vulnerability classes spanning access control, injection, server-side, client-side, business logic, authentication, and configuration.
How long does a run take?
Most assessments finish in hours rather than the weeks a manual pentest takes. Lightweight scans can run on every pull request in minutes.
Do my engineers need security expertise?
No. Findings come with plain-language impact and ready-to-merge fixes, so your team can act on them immediately.
Can I run it in CI/CD?
Yes. Drop Specter into your pipeline to scan every pull request and block exploitable code before it merges.

Put an autonomous attacker on your side.

Join the early access program and run Specter against your own stack.

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