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Adversarial Exposure Validation (AEV) | FireCompass

Named in Gartner's 2025 Adversarial Exposure Validation (AEV) category

Adversarial Exposure Validation that proves exploitability, not theory

Autonomous AI agents discover your surface, run real attacks safely, and validate every exposure with a working proof of concept. Free pen test. No agents. Results in minutes.

Live attack chain — autonomous agent
1

Recon: Credentials found in exposed .git repo

2

Attempt: Direct DB access, blocked

3

Pivot: Credential reuse to SSH root access

4

Escalate: Internal pivot to database exfiltration

No human steering · Fully autonomous · 4-step chain
100%
All benchmarks
<2%
False positives
10x
Faster
11x
Cost reduction
The problem

Why severity scores leave you exposed

Theoretical risk ranks vulnerabilities by score. Attackers rank them by what actually works. Three structural gaps keep the two apart, and attackers exploit all three at once.

🎯

Scope gap

20%covered vs 100% attacker probing
  • Only a subset of assets is tested deeply
  • Crown-jewel apps get attention, peripheral assets do not
  • 20% of breaches begin through a peripheral asset
🔗

Depth gap

40-70%false positives from scanners
  • Findings reported in isolation, attackers chain them
  • 22% of breaches start with credential abuse
  • Business logic flaws stay invisible to scanners

Speed gap

365days between tests vs 3-day CVE weaponization
  • Most teams still validate on a yearly cadence
  • Modern teams deploy weekly, daily, or on demand
  • The window between change and validation keeps widening

AEV closes the gap by validating exposure from the attacker's side. It does not guess what is risky. It proves what is exploitable.

The solution

Adversarial Exposure Validation on an agentic platform

FireCompass runs the full validation loop across web apps, APIs, and infrastructure, continuously, and proves every finding before it reaches you.

1
SCOPE

Discover

Close the scope gap
  • Shadow apps and forgotten subdomains
  • Leaked credentials on the dark web
  • API endpoints from JS files and docs
  • Peripheral assets attackers target first
2
DEPTH

Validate

Close the depth gap
  • OWASP Top 10 plus business logic abuse
  • Authenticated and unauthenticated paths
  • Proof of exploit for every finding
  • No exploit, no alert
3
DEPTH

Chain & red team

Close the depth gap
  • Credential reuse across services
  • App-to-app and app-to-network pivots
  • MITRE ATT&CK kill chain automation
  • End-to-end red team emulation
4
SPEED

Continuously

Close the speed gap
  • Triggered by deployment, CVE, or new asset
  • Matches CI/CD release cadence
  • Day-1 CVE validation
  • One-click revalidation of fixes
Proof: validation in action

From exposed .git to full database compromise, fully autonomous

No human steering. No predefined playbook. The agent chained validated findings across four steps.

STEP 01

Recon

Agent found an exposed .git directory, rebuilt the repo, and extracted database credentials from config files.

STEP 02

Attempt

Agent tried the database directly. The port was not externally exposed. A scanner would stop here.

STEP 03

Pivot

Agent hypothesized credential reuse, tested the same creds against SSH, and gained root access.

STEP 04

Escalate

Agent found private keys, pivoted to the internal network, reached the database, and exfiltrated data.

Why scanners miss this: a DAST scanner reports a medium-severity .git info leak and stops. It misses the credential reuse (22% of all breaches), the app-to-network pivot, and the full compromise chain. AEV validates the whole path.
More validated attack chains

UAT to production pivot

Auth token in .jsBase64 decodedEndpoint accessProduction creds
Full production accessCredential abuse plus app-to-app pivot

WAF bypass via origin discovery

WAF blocked (403)Origin IP foundDirect payloadsWAF bypassed
WAF protections uselessPeripheral asset exposure

Infrastructure lateral movement

LDAP enumCreds in shareWinRM loginDomain secrets
Full AD compromiseApp-to-network pivot
Benchmark proof

100% score across every penetration testing benchmark

Fully autonomous, no manual steering and no human hints. Verified against industry-standard environments.

XBEN
104/104

Easy, medium and hard

Acuart / Vulnweb
12/12

PoC-validated

DVWA
100%

All three difficulty levels

FireCompass AEV vs other validation approaches

CapabilityFireCompass AEVBAS / control validationManual red teaming
Validates with a real exploit PoC Live executionSimulated technique only Manual, slow
Business logic testing AI-drivenNot supported Manual only
Multi-stage attack chaining Web to API to infraLimited Expert-dependent
Continuous, trigger-driven cadence Yes YesAnnual
False positive rateUnder 2%Not applicable, no exploitationLow but variable
Cost per app / testUnder $1,000Tooling plus tuning time$2,400 to $10,000
Case study: Fortune 500 technology company

$5,000 to under $1,000 per app. Two weeks to one day.

Replaced a large consulting firm's manual program with continuous, evidence-backed validation across 2,000+ web applications.

Before: manual pen testing consulting

  • About $5,000 per app per test, two consultant-days
  • Two or more weeks of lead time to schedule and complete
  • Tested 200 of 2,000+ apps annually
  • Reported isolated findings, missed attack chains
  • Scans produced a 70% false positive rate

After: FireCompass AEV

  • Under $1,000 per app, an 11x cost reduction
  • On-demand testing, zero lead time
  • Full coverage across 2,000+ apps continuously
  • Found chained attack paths the consultants scoped out
  • Under 2% false positives, every finding PoC-validated
$5K → <$1K
Per app cost, 11x reduction
10% → 99%
App coverage, full portfolio
2wk → 1 day
Lead time, on demand
Discovered chained paths consultants scoped out Found risks across assets never previously tested 100% proof-of-exploit validated findings Near-zero false positives on all findings
Platform

Start with AEV. Expand to full red teaming and CTEM.

One platform covering pen testing, automated red teaming, attack surface management, and continuous threat exposure management.

PRIMARY

Adversarial Exposure Validation

Web and API attacks, executed and validated with proof of concept.

Infrastructure pen testing

Networks, servers, and cloud, continuously validated.

Continuous Automated Red Teaming

MITRE ATT&CK-aligned attack trees, lateral movement, and privilege escalation.

PTaaS, pen testing as a service

Expert in the loop for business logic and compliance.

CTEM and attack surface management

Continuous exposure monitoring and risk prioritization.

Deployment

  • SaaS for external asset discovery and validation
  • Internal appliance for internal assets
  • Internal deployment in under one hour
  • SaaS deployment in minutes
Recognition & trust

Trusted by Fortune 500. Recognized by Gartner, Forrester and more.

Gartner30+ reports, 4 Hype Cycles, pen testing and CTEM
ForresterNotable vendor in automated security testing
IDCInnovators, cybersecurity
GigaOmRadar Leader, automated red teaming, 2023
RSAC 365Innovation Showcase
Frequently asked questions

Adversarial Exposure Validation, answered

Everything CISOs, security engineers, and red team leads ask before starting with FireCompass.

What is Adversarial Exposure Validation (AEV)?

AEV is technology that delivers continuous, automated evidence of whether an attack is feasible in your environment. It runs real attack techniques against live assets and controls and proves which exposures an attacker could exploit, rather than scoring them by severity.

How is AEV different from breach and attack simulation (BAS)?

BAS simulates known techniques and measures whether a control detects them. AEV goes further and executes the attack, confirming exploitability with a working proof of concept. Gartner positions AEV as the successor to BAS, automated pen testing, and red teaming.

Does AEV replace penetration testing?

AEV replaces the calendar-based model. Instead of one annual test that covers about 20% of your surface, AEV validates exposure continuously and on triggers such as a deployment or a new CVE, with evidence behind every finding.

How does FireCompass keep false positives under 2%?

Every finding is executed safely against the live target and confirmed before it reaches your dashboard. That validation gate holds the false positive rate under 2%, against the 40 to 70% typical of scanners.

Is continuous offensive testing safe to run against production?

Yes, when the platform enforces governance. FireCompass applies scope allowlists, rate limiting, an instant kill switch, safe payload enforcement, credential scope guards, RBAC, and append-only audit logs with cryptographic timestamps.

How does AEV support CTEM and compliance?

AEV is the validation layer of a CTEM program. The audit trail maps to PCI DSS 4.0, SOC 2 Type II, DORA, and ISO 27001 evidence requirements, so you can prove what was tested and how.

Does AEV cover APIs and infrastructure, not just web apps?

Yes. FireCompass validates exposure across web apps, APIs, and infrastructure, and chains findings across them to show the real path an attacker would take.

Is there a free way to try AEV?

Yes. FireCompass Explorer gives teams a free, evidence-backed pen test against a business-critical web app, with results in minutes and no agents to install.

Hack yourself before AI does

Prove what an attacker can actually reach

Run a free, evidence-backed pen test against a business-critical web app. See validated exploits, not a list of maybes.

Launch FireCompass Explorer →
Free attack surface scan No agents to install Results in minutes On-demand validation