Solutions · AI Pentesting

AI Pentesting Agents That Prove Exploitability

Autonomous AI agents that execute real, end-to-end penetration tests and back every finding with a working proof-of-concept. Continuous coverage, zero false positives, always up to date.

0False positives, every finding proven exploitable
0Phase methodology: recon to report
0Average assessment time per target
0Assessment types: web, API, network, code, cloud, threat model
The Problem

Quarterly pentests fail modern development velocity

Your engineering team ships code daily. Your pentest vendor shows up quarterly. By the time the report lands, the attack surface has changed completely.

Traditional pentesting suffers from three fatal flaws:

You don't need more assessments. You need pentesting that compounds, gets smarter with every run, and proves every finding.

How Strobes Is Different

Proof over theory
Continuous over quarterly
Autonomous over manual

Strobes AI pentesting agents combine the depth of a senior penetration tester with the speed and consistency of automation.

PoC or It Didn't Happen

Every finding includes a working proof-of-concept: full HTTP request/response, reproduction steps, and exploitation evidence. Zero theoretical risk. Zero false positives.

Continuous, Not Quarterly

Run pentests after every deployment, on a schedule, or on demand. Regression testing ensures fixed vulnerabilities stay fixed. Your security posture compounds instead of resetting.

Context That Persists

AI agents remember your architecture, authentication flows, and business logic. Every assessment builds on the last; techniques, findings, and attack surface knowledge carry forward.

Multi-Agent Orchestration

Specialized agents (web pentest, API security, network testing, code review, cloud audit, and threat intel) are coordinated by an AI orchestrator that routes tasks optimally.

Human-in-the-Loop Safety

Configurable guardrails, approval workflows, and audit trails for every action. You set the boundaries. Agents operate within them. Full compliance with enterprise security policies.

Remediation Built In

Findings auto-sync to Jira, Azure DevOps, and GitHub with full context. SLA tracking, ownership assignment, and fix verification through re-scanning. Close the loop.

Methodology

From first recon to final report

AI agents work the way elite red teams do — phase by phase, with evidence at every step. Every reported finding ships with a validated, working proof-of-concept.

Step01

Recon

Subdomains, services, technology fingerprinting, and credential sweeps. The map before the maze.

Environment scan
247
Affected assets
0247svc:api.prod
0246svc:admin.prodMATCH
0245svc:webhooks
0244svc:legacy.devMATCH
Step 01 of 04
Step02

Test

Specialised agents (web, API, network, code, cloud) run in parallel. WSTG categories executed against every relevant target.

Agents
Web Agent92%
API Agent78%
Cloud Agent54%
Step 02 of 04
Step03

Validate

Every candidate finding gets a working PoC: HTTP trace, reproduction steps, and exploitation evidence. Theory does not ship.

Asset risk score
9.6
CRITICAL
PoC validated
Exploitable
Production target
Step 03 of 04
Step04

Report

Findings sync to Jira / GitHub / ADO with full context. Re-test verifies the fix. Loop closes with evidence.

False positives
0%
on confirmed findings
Step 04 of 04
Customer outcome

Continuous coverage that compounds

Per-target
0

average assessment time, vs 4–6 weeks for traditional pentesting

0%
False positives
8
Phase methodology
6
Assessment types
Agent Arsenal

Six specialized pentest agents

Each agent is purpose-built with specialized tools, knowledge bases, and exploitation techniques.

web-pentest
Web Application Agent

Playwright browser automation, SPA crawling, injection testing, IDOR/BOLA, business logic, race conditions, CVE exploitation

api-pentest
API Security Agent

REST and GraphQL fuzzing, OAuth/JWT testing, mass assignment, BOLA detection, rate limit bypass, schema extraction

network-pentest
Network Pentest Agent

Port scanning, service enumeration, AD auditing, Kerberoasting, lateral movement, privilege escalation

code-review
Code Review Agent

SAST, dependency audit, secrets detection, crypto review, business logic analysis, reachability verification

cloud-audit
Cloud Security Agent

IAM analysis, resource enumeration, S3 exposure, security group auditing, CIS Benchmark compliance

threat-intel
Threat Intel Agent

CVE enrichment, EPSS scoring, exploit availability, CISA KEV correlation, attack surface intelligence

6 capabilities available to agents via 100+ tool integrations

How It Works

From intent to verified findings in four steps

Step 01 / 04
01

Define Your Target

Provide the target: a URL, API endpoint, IP range, GitHub repo, or AWS account. Configure scope boundaries, authentication credentials, and any out-of-bounds areas. The agent handles everything else.

Step 02 / 04
02

AI Orchestrator Plans the Attack

The orchestrator analyzes your target, selects the appropriate assessment type, and creates a multi-phase attack plan. Specialized agents are assigned to each phase based on the target's technology stack.

Step 03 / 04
03

Agents Execute Autonomously

Multiple agents work in parallel: crawling, analyzing, injecting, and validating. Each agent operates in a sandboxed environment with full tool access: Playwright, sqlmap, Nuclei, nmap, and custom exploit scripts.

Step 04 / 04
04

Review Verified Results

Every finding is validated with a working PoC. False positives are eliminated through re-testing. Results include executive summary, technical deep-dive, CVSS scoring, and remediation guidance. Tickets auto-created in your issue tracker.

Assessment Types

Six specialized assessments on one platform

Each assessment type deploys purpose-built AI agents with specialized tools, methodologies, and knowledge bases.

Full Web Application Pentest

8-phase methodology covering authentication bypass, injection testing (SQLi, XSS, SSTI, SSRF, command injection), IDOR/BOLA testing, business logic flaws, race conditions, and CVE exploitation.

  • SPA-aware crawling with Playwright + Katana
  • JavaScript bundle analysis for hidden API endpoints
  • XHR/fetch interception for dynamic route discovery
  • Multi-role access control testing (admin, user, guest)
  • WAF detection and bypass techniques

Tools: Playwright, sqlmap, Nuclei, custom exploit scripts

Competitive Landscape

How Strobes compares to XBOW and Pentera

AI pentesting is a new category. Here's how the leading platforms stack up across the capabilities that matter.

Capability
Strobes
XBOW
AI-driven pentesting agents
Working PoC for every finding
Continuous testing (not one-off)
Web + API + Network + Cloud + Code
Multi-agent orchestration
Business logic testing
Architectural memory across runs
Regression testing on fixes
Auto-ticketing + SLA tracking
Full CTEM platform integration
Transparent pricing
Full support Partial Not available
Key Insight

PoC first. Report second

Strobes AI agents validate every finding before it reaches you. Working proof-of-concept, full HTTP traces, and exploitation evidence attached. Anything unverified gets downgraded automatically. What lands in your report is confirmed, exploitable, and ready to fix.
0
False Positives

Every finding backed by a working proof-of-concept

100%
Evidence-Based

Full HTTP traces, reproduction steps, and exploitation proof

8
Validation Phases

From recon to report, every phase produces verifiable output

3x
Faster Triage

Teams fix what matters because every finding is real

Enterprise Safety

AI that acts on your terms

AI pentesting agents operate within strict guardrails, every action logged, every exploit sandboxed, every finding verified.

Scoped Boundaries

Define exactly what's in scope and out of bounds. Agents never exceed the target perimeter you set.

Complete Audit Trail

Every agent action, every request, every exploit attempt, and every finding is logged with timestamps and context.

Human Approval Gates

Configure which actions require human approval before execution. Critical exploits can route through review workflows.

Credential Vault

Test credentials stored in encrypted vault with scoped permissions. Automatic rotation and revocation after assessments.

This product is cool because it avoids the need to hire a whole penetration testing team. Just install an agent and it does all the scanning for you, keeping you informed about the problems in your organization. It's almost plug and play.

Data Analyst Tech Lead

Effortless Penetration Testing with Innovative Product · 50M-1B USD · IT Services

FAQ

Frequently asked questions

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