Web App/API Pentesting
Pentoma Web
Authenticated, business-logic-aware web and API penetration testing with AI discovery, deterministic replay, and human-validated evidence.
evidence: OWASP A03 - reproducible payload - SOC2 CC7.1 mapping
Autonomous offensive testing. Human-validated evidence.
Real exploits. Real evidence. AI speed, human judgment.
Pentoma tests web apps, source code, and AI systems with agentic discovery, deterministic replay, and human validation — then ships reports your engineers can fix and your auditors can trust.
Backed by SEWORKS20+ years in offensive securityBuilt for SOC 2, ISO 27001, and AI governance evidence
evidence.replay
[recon] mapped 42 routes · 8 auth boundaries · 3 APIs
[surface] ranked /api/v1/orders as high-signal target
[finding] critical · SQLi · OWASP A03 · reproducible
[triage] replayed payload · confirmed exploit path · fp: low
[evidence] SOC2 CC7.1 mapped · auditor packet ready
12m
engagement time
1
critical confirmed
7
evidence maps
SEWORKS has run offensive-security engagements since 2014 — across web, application, and adversarial testing. Pentoma is that practice, rebuilt as a continuous, AI-assisted product.
- Partner
- Drata — SOC 2 & ISO 27001 evidence
Three ways to prove security
Security testing that reads like engineering work.
Every product produces the same shape of output: reproducible findings, scoped evidence, and compliance mappings the team can act on without translation.
Source-Code Vulnerability Discovery
Pentoma Code
Pentoma Code is offensive source-code analysis. We hunt exploitable vulnerabilities, reconstruct full attack chains from source to sink, and surface 0-day candidates. Findings are validated by deterministic data-flow proof and human reviewers before they reach a customer report.
evidence: vulnerable line · source-to-sink chain · validated finding
LLM and agent security assessment
Pentoma AI Red Teaming
OWASP LLM Top 10 coverage with replayable prompts, observed behavior, policy mapping, and expert interpretation.
evidence: LLM01 - prompt replay - policy-safe reproduction
Side-by-side
Same shape of evidence. Three different targets.
Each product looks at a different surface, but ships the same kind of finding — what it tested, how it tested, and what the report contains.
Pentoma Web
Application layer
Target
Running web applications and APIs
Method
AI-assisted exploration, business-logic probing, deterministic replay, and human validation
Output
Confirmed application findings with request/response proof and compliance mappings
Pentoma Code
Source code
Target
Source-code repositories, pull requests, and release branches
Method
Offensive static analysis: vulnerability hunting, source-to-sink reasoning, attack-chain reconstruction, validated by reviewers
Output
Validated vulnerabilities, attack-chain evidence, line-level remediation guidance, and 0-day candidates worth coordinated disclosure
Pentoma AI Red Teaming
AI systems
Target
LLM endpoints, RAG flows, tools, plugins, and agents
Method
Adversarial prompts, agent-boundary tests, behavior replay, and policy checks
Output
AI risk evidence mapped to OWASP LLM Top 10 and governance controls
Proof, not promises
Three artifacts that earn the meeting.
Pentoma is a small, founder-led team. Trust comes from artifacts you can read, fork, and forward — not from logo walls we have not earned yet.
How it works
From connection to evidence in one controlled loop.
Pentoma does not hide behind a black box. The workflow exposes scope, cost, evidence, and triage reasoning so security and engineering can move together.
01 / connect
Connect the target
Add a domain, repository, or LLM endpoint. Pentoma scopes the engagement and records the evidence boundary up front.
02 / agent runs
The agent executes
Reconnaissance, adversarial tests, replay, and triage run in a controlled loop with cost, scope, and compliance context visible throughout.
03 / evidence ships
Findings become proof
Each confirmed issue ships with reproduction steps, severity rationale, remediation, and auditor-ready control mappings.
Mappings rendered into every report.
Pentoma gives auditors the same evidence engineers used to fix the issue: endpoint, payload, replay, severity rationale, and control mapping.
SOC 2
Vulnerability detection, response, and change-management proof.
CC7.1 · CC7.2 · CC8.1
ISO 27001
Technical vulnerability management and risk treatment evidence.
A.8.8 · A.5.36
AI Governance
Evidence for AI risk and governance reviews — adversarial replay, agent-boundary checks, and policy mapping.
Prompt replay · Agent boundary · Policy
Ready when your audit starts