Traffic
Professional HTTP history with Argus context.
Filter, inspect, highlight, replay, and analyze captured traffic without leaving the workbench.
AI-assisted web application security testing
Argus
A DAST, proxy, and AI workbench for security teams that need authenticated coverage, readable traffic, reproducible AI tasks, HTTP comparison, and findings backed by evidence.
Authenticated scans
Proxy and repeater
Evidence-aware AI
HTTP comparer
AI
Repeater agents and finding triage
DAST
Active web and API testing
Proxy
Traffic capture and replay
Diff
Request and response comparison
Built for security professionals
AI that works from the evidence, not beside it.
Argus turns traffic, findings, notes, cookies, scope, request bodies, response bodies, and comparison data into reproducible AI tasks. The result is faster triage without losing the proof trail.
Scanner
Authenticated DAST with visible scan state.
Queue scans, confirm login status, watch events, and review findings with coverage context.
Repeater
Manual replay with an AI agent beside it.
Send requests from traffic or findings, edit them, rerun them, and ask AI to analyze the exact request, response, notes, cookies, and scope.
Dashboard
Operational visibility without the noise.
See scan posture, finding trends, top recurring issues, and quick launch controls in one clean work surface.
Intruder
Focused fuzzing for the exact surface you care about.
Seed requests from traffic, sitemap, or repeater, fuzz parameters with controlled payloads, and pivot the interesting hits back into manual replay.
Authenticated crawling
Configure form, multi-step form, cookie, and header auth at the target level. Argus records whether login succeeded before trusting authenticated results.
Traffic-first workflow
Capture browser and scanner traffic, filter by host, method, risk, and content type, then send requests directly to Repeater for manual validation.
Evidence-weighted findings
Findings are calibrated against baseline responses, block pages, deletion cookies, and generic client-side markers to reduce noisy false positives.
Reproducible AI tasks
Every AI run stores selected context, loaded exchange IDs, model output, follow-up steps, and linked findings so the analysis can be reviewed later.
Controlled scan budgets
Limit pages, depth, concurrency, URL signatures, and static assets so large targets produce usable coverage instead of infinite crawl noise.
Comparer built in
Diff requests, responses, headers, and bodies side by side to prove behavioral changes, isolate noise, and document exactly what changed.
AI workflows
Not chat next to a scanner. AI wired into the test.
Ask questions with request, response, cookies, notes, and scope attached.
Prompt against the exact exchange you are testing. Argus records which context chips were used, the saved request ID, the model decision, and the linked AI finding.
Turn a finding into a controlled follow-up task.
Use AI to propose validation checks, compare baselines, explain false-positive cautions, and decide whether a finding should be confirmed, downgraded, or kept pending.
Verifier output stays attached to the proof.
Findings can carry AI verdicts with severity, confidence, evidence assessment, validation notes, reportability, and remediation guidance.
Choose the model. Control the spend.
Bring your own OpenAI API key so your team decides which models to use, keeps usage tied to your account, and avoids hidden AI markups.
Draft reports from proof artifacts instead of memory.
Argus has the request, response, affected URLs, extracted data, steps, and AI triage context available when it is time to write a professional finding.
Workflow
From target setup to validated report.
1
Define scope
Add authorized targets, auth details, scan intensity, crawl budgets, and proxy behavior.
2
Capture reality
Use the proxied browser and traffic history to observe the app as users and scanners see it.
3
Scan with control
Run active checks with concurrency, jitter, WAF awareness, and deduplication tuned per target.
4
Triage and prove
Inspect requests, replay variants, review AI analysis, and promote only evidence-backed findings.
Comparer
Show what changed, line by line.
Security testing often comes down to proving that two responses are meaningfully different. Argus Comparer gives you a focused side-by-side diff for requests, responses, headers, and bodies.
- Compare saved exchanges from proxy, scanner, or repeater
- Separate status/header noise from real body changes
- Copy either side into reports or follow-up tests
- Use diffs to support IDOR, auth, cache, and validation findings
HTTP message diff
17 same · 3 left-only · 3 right-only
HTTP/1.1 200 OK
content-type: application/json
date: Mon, 25 May 2026
{"status":"ok","daystart":83380}
HTTP/1.1 200 OK
content-type: application/json
date: Mon, 25 May 2026
{"status":"ok","daystart":84338}
Coverage with accountability
No more mystery scans.
Argus records crawl and scan limits, skipped URL reason codes, block-page observations, deduplicated signatures, and whether a report is complete or partial.
- Max pages, depth, runtime, concurrency, and query variants
- Same-host, subdomain, and static asset controls
- Skipped reasons preserved for report transparency
- WAF and block page awareness during validation
Scan coverage
partial
- Crawled URLs
- 2,500
- Tested URLs
- 1,684
- Skipped by scope
- 431
- Duplicate signatures
- 812
- Ended reason
- max_pages
Reporting
Findings that a human can defend.
SQL injection via email
Differential login behavior indicates authentication bypass through a crafted email parameter. Evidence includes baseline, payload, response comparison, and replayable request data.
Endpoint/rest/user/login
Techniqueauth-bypass differential
Confidencehigh
Reportabilityactionable
Why it matters
Less noise. More explainable proof.
Evidence-aware triage
AI and scanner logic can downgrade public object access, block pages, deletion cookies, and unchanged SSRF probes instead of inflating noise.
Manual control
Repeater, traffic history, and comparer keep professionals in control when a finding needs proof rather than blind automation.
Reproducible AI
AI tasks store their inputs, outputs, and linked findings so every recommendation can be traced back to the evidence.
Access
Start with a focused 7-day trial.
Trial
7 days
Full product access for authorized testing, evaluation, and workflow fit.
- No credit card required
- Scanner, proxy, repeater, and AI workflows
- Use your own OpenAI API key for model and cost control
- Coverage-aware reports
Early access individual
$19/month
For consultants, independent researchers, and internal security engineers.
- Individual commercial use license
- Local projects and evidence history
- Email support
Team
Shared practice
For teams standardizing DAST, triage, and report production.
- Multiple seats
- Priority support
- License administration
Account
Create your Argus account.
Start a 7-day trial with your work email. Already have access?
Your Argus account is the same identity used by the desktop app. After signup, the app checks your account before enabling licensed workflows.
- Trial access tied to your work email
- Server-side entitlement checks
- Shared access for website and desktop app
Argus Software