Agentic Adversarial Exposure Validation
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It runs itself.
Discover
02
Understand what changed
Every deploy is diffed against the last known-good state of the attack surface, not just the codebase.
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03
Decide what matters
Changes are risk-ranked so testing effort goes where exposure actually moved, not where a scanner happened to look.
04
Test & validate
Authenticated, application-aware testing that proves exploitability, not another theoretical finding to triage.
/api/v1/findings/4471/validate
Response
Request
Response headers
HTTP/1.1 200 OK Server: nginx/1.14.2 Date: Fri, 09 Oct 2020 21:52:03 GMT Content-Type: application/json Content-Length: 866 X-Finding-Status: confirmed X-False-Positive: false Cache-Control: no-store
05
Remediate
A validated finding ships back as a pull request into the existing pipeline, not a ticket in a queue nobody owns.
/api/v1/findings/4471/remediate
Response
Request
Response headers
HTTP/1.1 200 OK Server: nginx/1.14.2 Date: Fri, 09 Oct 2020 22:03:41 GMT Content-Type: application/json Content-Length: 512 X-Remediation-Status: patched X-Retest-Result: pass Connection: keep-alive
Four commitments, and one we think the industry should adopt.
Validation velocity matches development velocity
Continuous understanding of the attack surface
Test and validate, not just scan
Findings close the loop into engineering
Coverage becomes a heat map, not a snapshot
We sit inside your CTEM program. We don’t ask you to build a new one.
Scoping
Discovery
Prioritization
Validation
Mobilization
Built for teams who need a real test, on their timeline.
Frequently Asked Questions
Adversarial exposure validation (AEV) is a security practice that tests whether vulnerabilities and misconfigurations can actually be exploited by an attacker. It uses realistic attack scenarios to confirm which exposures are real, so teams fix proven risk instead of theoretical findings. Gartner named the category as part of exposure management. Sybil applies it to live applications and proves exploitability before a finding reaches your team.
Breach and attack simulation (BAS) runs predefined attack scenarios to test whether security controls detect or block known techniques. In Gartner's framing, BAS is one of the technologies within adversarial exposure validation, alongside automated penetration testing. BAS shows how well your defenses respond, while penetration-style validation proves which exposures in your applications can be exploited. Sybil focuses on the application side.
Continuous threat exposure management (CTEM) is a Gartner framework with five stages: scoping, discovery, prioritization, validation, and mobilization. AEV is the validation stage, where exposures are tested to confirm they can be exploited. Those results feed prioritization and remediation, so teams address proven exposures first. Sybil works across discovery through mobilization inside an existing CTEM program.
Exposure validation reduces false positives by testing each finding against the live environment before anyone triages it. A finding that cannot be exploited is rejected instead of being added to a queue. This lets security teams spend their time on confirmed vulnerabilities and real risk. Sybil uses a multi-agent validation pipeline, so only exploitable findings reach your team.
Exposure validation should run continuously, or at least whenever code or the attack surface meaningfully changes. Annual or quarterly testing leaves gaps, because modern applications ship new code every day. Continuous validation re-tests what changed and tracks which areas have been covered. Sybil can run on a defined schedule or start automatically based on what changed in the application.