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Drop a URL. Find out what an attacker would actually find
Most DAST scanners stop at your login page and call everything behind it clean. Siemba's AI-Native dynamic application security testing (DAST) tool authenticates, attacks the workflows your users actually reach, and hands you the proof.
Most DAST scanners never make it past your login page
A conventional DAST tool or vulnerability scanner crawls what it can reach without credentials, stalls at your OTP prompt, never sees the authenticated workflows where your business logic lives, and returns no criticals. To anyone who did not run it, that reads exactly like a clean result. A rate limiter can block every payload you send and the run will still finish quietly.
Unauthenticated coverage on an authenticated application tests your marketing pages and reports on your product.
A run blocked by a firewall that completes anyway is worse than no run, because now you believe something.
A URL in, first finding in minutes, authenticated behind MFA with no login script, access control tested from your API spec, and a run that tells you the moment a firewall intervenes.
From first request to a release you can ship
Seven stages, each one picking up where the last left off. Jump to any of them.
One click. A URL is the whole setup
Give it a URL or an IP. It fingerprints your stack, builds a suite for it, and starts.
- A URL is the whole input. No install, no build step, no security expertise to run it.
- Technology-aware test selection. Precise payloads matched to your stack, not generic scanning.
- 33,000+ payload-based test cases. Web application coverage plus the latest CVEs.
- Express or site-wide, authenticated or not. Tag a run for a fast targeted pass or full site-wide coverage, unauthenticated or behind a login, and filter your test history the same way later.
- Batch testing and scheduling. Many applications in one run, daily, weekly or monthly.
- Every phase logged, live. Asset selection, tech stack analysis, test case curation, CVE analysis, credential checks, SSL/TLS review and de-duplication, each timestamped as it runs, not summarised after the fact.
Test the part of your application that actually matters
No recorded login script to build or re-record. A screenshot proves the session authenticated before testing began.
- OTP, MFA, simple CAPTCHA and custom forms. Worked through automatically, no script to maintain.
- Modern application crawling. React, Vue, Angular and other JavaScript-heavy single-page apps.
- Token validated before the run starts. A run on stale credentials cannot return a clean report.
- Credentials encrypted at rest. Used only for authenticated scans.
Prove user A can’t read user B’s invoice
IDOR testing shouldn't need a security engineer to write it. Give Siemba your API spec and two IDs, one record the user owns, one they don't, and every endpoint with an ID-like parameter gets tested automatically.
- AI candidate identification. Your API spec or collection is read automatically, and every endpoint with an ID-like parameter is surfaced as a candidate for access-control testing, grouped by object, with no manual mapping.
- You supply your API spec and two IDs per parameter. One record the user owns, one they should not reach. No test-writing.
- High-impact parameters flagged. Leave one blank and every endpoint needing it is skipped, not reported clean.
- Full write-up on every hit. Curl command, repro steps, CWE-639, OWASP A01 and WASC classification.
One collection URL. Every endpoint in it, tested
One collection URL in. REST, GraphQL and SOAP, each tested on its own terms rather than one generic pass.
- Every endpoint in your collection tested. Broken down by protocol and HTTP method.
- Injection, data exposure and access-control gaps. The classes conventional scanners consistently miss.
- XSS, SQLi, SSRF, broken access control and authentication flaws. Plus the latest CVEs.
- OWASP Top 10 and OWASP API Security coverage. Mapped automatically.
Tested as a workflow, not endpoint by endpoint
Checkout, refunds, approvals: multi-step business logic is tested as a full sequence, the way a real user or attacker actually moves through it, not as isolated calls that each look fine on their own.
A blocked run fails. It does not report clean
Network responses are monitored throughout every test. The moment a firewall or rate limiter starts dropping payloads, the run is flagged and marked failed, not silently completed.
- Continuous response monitoring. Every request and response watched for signs of blocking, not just the final report.
- Switch throttle mode mid-run. Move from Stealth to Turbo, or back, without restarting the test.
- Blocked runs are marked failed. A run interrupted by a WAF or rate limiter is never reported as clean.
- Matches your environment's limits. Adjust throttle to your actual rate limits and go again without losing progress.
Your MCP servers are live endpoints with an unaudited auth model
MCP servers wired to internal tools and data are production endpoints, with an authorisation model nobody has audited. Register and track them alongside your APIs and web apps.
- Registered like any other asset. Endpoint URL plus a criticality tier, in the same inventory and filters.
- Inherits your API coverage. No separate motion to set up.
- Testing is expert-led today. Tool poisoning, over-permissioning, unauthorised invocation, secrets exposure.
- The wider AI surface too. Prompt injection, jailbreaks, agentic privilege escalation, RAG leakage and the OWASP LLM Top 10.
Planning around autonomous MCP testing? Talk to us about timing.
Expert-led AI and MCP testingBlock the vulnerability before it reaches staging
Wire it into your pipeline once. Generate an API key, drop it into Jenkins, GitLab or GitHub Actions, and every build is tested and gated against your severity threshold before it ships.
- Build gates for Jenkins, GitLab and GitHub Actions. Set a severity threshold, any build crossing it is blocked.
- Native GitHub issues. Opened the day a finding is detected, with full context.
- Jira, ServiceNow and Slack routing. Single sign-on through Okta.
- Freeze windows up to 30 days. It pauses itself and switches back on without a ticket.
Retest as often as you like, with no window that closes on you
Re-run a test as often as you need, and anything that reappears is flagged, not logged as a fresh finding. Marking a false positive takes written justification and evidence, matched on title plus the exact endpoint and parameters. Defer a finding for 30, 60, 90 days or a custom date, and it returns to view automatically when that date passes, tracked in its own list rather than buried in the queue.
AISO™ reads the backlog before you do
Discovery finds the assets. AISO writes the decisions: what is exposed now, what is about to break, and where remediation is slipping.
Your AI Security Officer, offering real-time insights and risk-based decision support.
Imminent SSL/TLS Certificates Expiry
8 SSL/TLS certificates will expire in the next 30 days, which could lead to service disruptions and security risks.
Inefficiencies in Vulnerability Remediation Cycles
MTTR for certain critical vulnerabilities exceeds 7 days, indicating inefficiencies in your current remediation process.
Unrestricted Hacker Access Through Unpatched Exploits
10 vulnerabilities allow unauthenticated exploitation and have public exploits already available.
Zero-Day Vulnerabilities Jeopardize Security
Multiple unpatched vulnerabilities could grant attackers unauthorized access to critical systems.
Vulnerabilities Lacking Patches Pose Immediate Risk
Active vulnerabilities identified with no patch currently available, increasing your attack surface.
Vulnerabilities Enable Lateral Movement or Privilege Escalation
A number of new vulnerabilities allow lateral movement across systems and privilege escalation.
Detailed for an engineer to fix it and an auditor to accept it
Autonomous and manual findings land in one list, each labelled with its source. How findings are scored, mapped and managed →
CVSS v4.0 and Likelihood
Full vectors on CVE-anchored findings, plus a plain-English likelihood call on every finding.
DREAD
Scored independently across all five dimensions.
Nine compliance mappings
OWASP, NIST 800-53 Rev.5, PCI DSS v4.0.1, MITRE ATT&CK, CWE, GDPR, HIPAA, ISO 27001:2022, CMMC.
Full request and response
In a code block, beside the score.
Proof of concept and repro steps
Including a curl command on access-control findings.
Impact and remediation guidance
What to fix, and what to do if a fix has to wait.
Executive and technical export
Leadership summary and engineer detail in one report.
Firewall interference alerts
Told during the run, not discovered afterwards.
Verified closure record
Status history and retest evidence, so a fix is provable.
Business Risk Score
One number per finding, factoring exploitability and business impact, not severity alone.
CVE ID matching
Findings matched against known CVEs automatically, so a known exploit is never buried in the list.
Severity and status trends
New, existing, re-opened and fixed, tracked quarter over quarter, not just as a snapshot.
How this compares with the DAST scanner you are evaluating against
| Conventional dynamic scanner | Annual pentest | Siemba autonomous testing | |
|---|---|---|---|
| Setup | Recorded login scripts, per-app config | Scoping call, statement of work, wait | A URL |
| Authenticated coverage | Breaks on OTP and MFA; often runs unauthenticated | Yes, manually | OTP, MFA, simple CAPTCHA and single-page apps, no script, with screenshot proof of session |
| Object-level access control | Rarely: needs test cases a human writes | Yes, by hand, expensively | Automated from your API spec plus two IDs, curl repro on every hit |
| API coverage | One generic pass, no protocol-specific depth | Whatever was scoped | Every endpoint in your collection: REST, GraphQL and SOAP, each tested on its own terms |
| If a firewall blocks the run | Completes, reports clean | Not applicable | Run fails and tells you, mid-run |
| Cadence | Scheduled | Once a year | On demand, scheduled, or every deploy via the pipeline, with build gating |
| Scoring | CVSS v3.1 | Tester judgment | CVSS v4.0, plus DREAD |
| Compliance mapping | A static OWASP tag | Manual | OWASP, NIST 800-53, PCI DSS, MITRE ATT&CK, CWE, GDPR, HIPAA, ISO 27001 and CMMC, mapped at ingest with reasoning |
| Retesting | Rescan and re-triage | Paid add-on, or a 30 to 90-day window | Unlimited re-runs, reappearance flagged |
| AI attack surface | No | Sometimes | MCP as a first-class asset type; adversarial AI testing expert-led |
How Siemba compares
vs other self-serve DAST tools
Comparable ease of start. The difference shows at depth: object-level access control from a spec, full protocol coverage across REST, GraphQL and SOAP, CVSS v4.0 plus DREAD scoring, nine-framework compliance mapping, and certified in-house pentesters on the same platform when automation runs out of road.
vs SAST and static analysis platforms
SAST reads code. It cannot authenticate through your MFA flow, exercise a live authorisation boundary, or tell you whether a running endpoint is actually reachable. Different tools. SAST and DAST are complementary: if you already run static analysis, authenticated DAST here covers the running application it cannot reach.
How each team uses it
Validate a hotfix without waiting for an assessment
Run a test in minutes with no security expertise. Findings arrive as GitHub issues with reproduction steps, so the fix starts the same day.
Batch-test a portfolio, then go deep where it matters
Test dozens of applications on a schedule, with authenticated coverage and access-control testing you would otherwise write by hand.
Audit evidence as a by-product, not a project
Compliance mappings attached at ingest with the reasoning, one-click executive and technical reports, and a defensible closure record.
Gate a build automatically, on your terms
Run testing on demand, on a schedule, or as a native CI/CD gate that blocks a build crossing your severity threshold, with no manual trigger to remember.
The outcomes security teams get from Siemba
Four disciplines, one risk model
Mapping finds it. Assessment ranks it. Autonomous testing proves it. Certified engineers go deeper when the stakes demand it.
Attack Surface Mapping
Find every internet-facing asset first: no agents, no credentials.
Learn more →Vulnerability Assessment
Findings ranked by live exploit intelligence and reachability, not severity alone.
Learn more →Expert-Led Pentesting
Certified in-house testers on web, API, cloud, network, mobile and AI systems.
Learn more →The Full Platform
All four disciplines, one workflow, one risk model, one proof of closure.
Learn more →Pricing scales with your estate, not per seat
Automated assessment, mapping and autonomous testing come on one subscription. Expert-led engagements are scoped per application.
The questions you'll actually ask
What is DAST?
What's the difference between SAST and DAST?
Is DAST the same as penetration testing?
What's the difference between DAST and IAST?
Is it safe to run against production?
What do you need from us to test authorisation and object-level access control?
Does it run in our pipeline, and can a failing run block a build?
How long does a test take, and what counts as one test run?
Is this a replacement for a manual penetration test?
How do you handle release freezes?
Can we run tests from our AI assistant?
Point it at one app. See what it finds in the next ten minutes
No card, no setup, no login script. Or book a walkthrough and we will run it against something of yours.