Autonomous pentests that
prove what’s exploitable
Autonomous AI agents run real, end-to-end penetration tests across your web, API, network, cloud, and code, and back every finding with a working proof-of-concept.Continuous coverage, zero false positives, always current.
Auth bypass on /api/v2/orders chained into SQLi, reproduced end to end.
Chosen by teams who can't afford to get it wrong
One engine for every exposure problem
See how Strobes aggregates, validates, and pentests across your whole attack surface. It proves what's actually exploitable at every layer, instead of just flagging it.
Exposure Assessment
Unify findings from 100+ scanners, de-duplicate, and rank by validated, business-aware risk. One prioritized view of your real exposure.
Auth bypass on /api/v2/orders — IDOR chained into SQLi, reproduced end to end.
Confirmed exploitableAgentic Pentesting
Autonomous agents chain real exploits across your network, cloud, and AD. Pentest-grade evidence continuously, with a human in the loop.
Exposure Validation
Every finding is proven by real exploitation and re-checked as your environment changes, so you only ever remediate what’s truly reachable.
An autonomous engagement, orchestrated end to end
A coordinator scopes the engagement and plans the work. AI agents explore creatively, attack tools execute, a proxy records every request, and memory persists across the whole run.
Scopes assets, allocates phases, sequences agents.
Reasoning models drive recon, exploitation, and pivoting.
Browsers, proxies, payload kits, exploit modules, CVE intel.
Every request and response captured for evidence and replay.
State carries across phases, runs, assets, and engagements.
One platform, every kind of pentest
Point an agent at any target and it runs a purpose-built, methodology-aligned workflow. From web, API, and mobile to network, Active Directory, cloud, and LLM apps, every engagement ships validated, proof-backed findings.
OWASP WSTG-aligned testing across every endpoint: auth bypass, injection, IDOR and BOLA, business logic, and CVE exploitation.
Endpoint discovery, authentication and authorization (BOLA, BFLA), input handling, rate limiting, and data exposure. Full OWASP API Top 10.
OWASP MASVS-aligned Android testing across storage, crypto, auth, network, and platform, with dynamic backend testing and SDK CVE checks.
Black-box testing of chatbot and agentic LLM apps. OWASP LLM Top 10 plus agentic attack classes like tool-arg injection and MCP poisoning.
OSINT and passive recon, port scanning, service enumeration, vulnerability assessment, and validated exploitation on your external surface.
Map the internal network, enumerate services, test exploitation and lateral movement, and escalate privileges via authenticated access.
Domain recon, BloodHound attack-path analysis, ADCS abuse, Kerberos attacks (AS-REP, Kerberoast, delegation), and lockout-aware spray.
Enumerate resources, audit IAM permissions, review storage and encryption, assess network security, and check compliance posture.
SAST scanning, dependency CVE audit, secrets detection, and deep review of authentication and data handling, with reachability verification.
Full adversarial simulation: OSINT, initial access, lateral movement, privilege escalation, and objective completion. Tests detection and response.
Map dependency trees, verify package integrity, audit build pipelines, and detect typosquat and dependency confusion attacks.
Map data flows, identify threats with STRIDE, model realistic attack scenarios, rate risk with DREAD, and recommend mitigations.
Continuous subdomain enumeration, port and service scanning, technology fingerprinting, change detection, and alerts on new exposures.
Continuous CI/CD scanning: SAST, dependency CVEs, secrets, and container image scanning, fed back into developer workflows.
Intel-driven hunting: form hypotheses, search for IOCs and anomalies across cloud logs, code, and infrastructure, and recommend response.
Bulk fix campaigns: import findings, prioritize by risk, auto-generate code fixes and pull requests, then verify remediation across repos.
How we built the AI Harness
Autonomous agents are powerful, and dangerous, when pointed at production systems. The harness is the layer that lets Strobes run real exploitation at scale without ever losing control: bounded, observable, and reversible at every step.
Every agent runs inside an isolated, disposable sandbox, so real exploitation happens against the target without ever touching the host or escaping its blast radius.
Scope rules, rate limits, and destructive-action policies are enforced at the harness level. High-impact steps pause for a human approval gate before they ever run.
The harness routes each phase, recon, exploitation, and lateral movement, to the specialist agent built for it, then hands the context forward so the engagement stays coherent.
Every command, decision, and result is logged for replay, while secrets live in an encrypted vault that agents can use but never read in the clear.
Built for enterprise offensive security
Isolated sandbox per engagement
Every run executes in a fresh, ephemeral sandbox. Payloads, credentials, and target data never leak across customers or runs.
Runs on internal networks
Deploy a lightweight on-prem agent and run agentic pentests inside VPCs, Kubernetes clusters, and Active Directory domains. No data leaves your perimeter.
Human in the loop
Pause for review on sensitive actions, request approvals for higher-impact exploits, and hand off to your team mid-engagement — without slowing the agents down.
RCE on auth-service — exploit chain ready
Private data and BYOM
Bring your own model and keys. Data, prompts, and findings stay within your tenant. SOC 2-ready isolation, no training on your data.
Persistent agent memory
Findings, recon, and exploit context persist across phases, runs, and assets. The platform gets smarter about your environment with every engagement.
Continuous re-verification
Every patch triggers an exploit replay — clean confirmation that the fix actually worked, not just that the ticket closed.
Measured against the field, independently validated
We ran a fully autonomous pentest against a live target, the open-source Fider app, then measured it against the field. The security firm Doyensec independently assessed the same application, giving every figure a shared, third-party reference.
In their own words
Security teams on what changed after switching to Strobes
Start validating exposure like an attacker would
Strobes brings adversarial exposure validation across your assets, vulnerabilities, and attack paths, so your team fixes real risk first.