CTEM · Phase 4

ProveExploitabilitywithAdversarialEvidence

Validation is the most differentiating CTEM phase. AI agents test whether vulnerabilities are exploitable in your environment , and deliver evidence, not assumptions.

Your scanner says it's critical. But can an attacker actually exploit it? Strobes AI agents answer that question in under two hours, with proof-of-concept evidence for every validated finding.

0False Positives
0Fewer Findings to Fix
0Hours per Target
0PoC-Backed Evidence
The Challenge

UnvalidatedFindingsWasteEngineeringTime

Without validation, your team is fixing vulnerabilities that may not even be exploitable. That's wasted engineering time, delayed release cycles, and security theater disguised as progress.

The reality of unvalidated findings:

  • 80% aren't exploitable - most vulnerabilities can't be exploited in your specific environment
  • Engineering pushback - developers stop trusting security tickets when most turn out to be noise
  • Annual pentests aren't enough - 12 months between validation cycles leaves massive windows of exposure
  • No evidence - without proof-of-concept, there's no way to distinguish real threats from theoretical risk
  • Broken prioritization - validation data should feed back into prioritization but rarely does

Strobes AI agents validate findings continuously, not annually, with proof-of-concept evidence for every confirmed exposure.

How It Works

Validation in Five Steps

01

Select High-Priority Targets

Prioritized findings from Phase 3 are queued for validation. AI agents focus on the highest-risk findings first: the ones that would matter most if exploited.

02

AI Agents Attempt Exploitation

Autonomous AI agents attempt to exploit each finding in your actual environment. They use the same techniques real attackers would, but safely, with guardrails and rollback capabilities.

03

Map Attack Paths

For every confirmed exploit, AI agents map the full attack path, from initial entry point to potential impact on critical assets. This shows not just that it's exploitable, but what an attacker could achieve.

04

Generate Proof-of-Concept

Every validated finding includes a proof-of-concept: screenshots, request/response logs, exploitation steps, and impact evidence. Engineering teams get actionable evidence, not theoretical risk ratings.

05

Feed Back to Prioritization

Validation results flow back into the prioritization engine. Confirmed exploits escalate. False positives are deprioritized. The system gets smarter with every cycle.

Capabilities

What AI Agents Validate

Web Application Exploitation

AI agents test for SQL injection, XSS, SSRF, authentication bypasses, and business logic vulnerabilities on web applications, with working proof-of-concept for every finding.

API Validation

Test REST, GraphQL, and gRPC APIs for broken authentication, excessive data exposure, injection flaws, and authorization bypasses. Import OpenAPI specs or discover endpoints automatically.

Network Exploitation

Validate network vulnerabilities including service exploits, privilege escalation paths, lateral movement opportunities, and misconfigurations that expose internal services.

Cloud Validation

Test cloud misconfigurations for exploitability: can that public S3 bucket actually be accessed? Does that overly permissive IAM role enable privilege escalation?

Compensating Control Testing

Validate whether your WAF, EDR, network segmentation, and other controls actually block the attack. A vulnerability behind a working WAF rule is lower priority.

Attack Path Mapping

Map the full attack chain from initial access to critical asset compromise. Show stakeholders not just individual vulnerabilities, but how they chain together into real-world attacks.

Comparison

AI Validation vs. Traditional Pentesting

Feature
Strobes AI Validation
Traditional Pentesting
Frequency
Continuous - validates with every discovery cycle
Annual or semi-annual engagements
Speed
<2 hours per target
2-4 weeks per engagement
Evidence
PoC for every finding, automatically generated
Manual report delivered weeks later
Coverage
Every prioritized finding across all assets
Scoped subset of assets per engagement
Context
Business context, attack paths, control testing
Technical findings without business context
Integration
Results feed back into prioritization and mobilization
PDF report, manual ticket creation
Key Insight

ValidationImpact

AI-powered validation transforms security from a guessing game into an evidence-based discipline.
0
False Positives

Every finding is validated with proof-of-concept evidence.

100%
Evidence-Based

Screenshots, PoCs, and attack paths for every confirmed finding.

70%
Fewer Fixes Needed

Only exploitable findings require engineering attention.

<2hr
Per Target

AI agents validate in hours, not weeks.

Ourlastpentestfound200vulnerabilities.Strobesvalidationprovedthatonly34wereactuallyexploitableinourenvironment.Wefixedthose34intwoweeksinsteadofspendingthreemonthsonall200.Engineeringfinallytrustsourfindings.

VP of Engineering

VP Engineering · Enterprise SaaS Platform

FAQ

Validation: Frequently Asked Questions

Get Started Today

Proveitbeforeyoufixit

Replace assumptions with evidence. AI agents validate exploitability in under 2 hours with proof-of-concept for every finding.

  • No credit card required
  • Setup in 5 minutes
  • SOC 2 & ISO 27001