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Autonomous AI pentesting agents that crawl, fuzz, and exploit across code, APIs, web apps, and infrastructure
Full‑stack coverage in one platform (code, APIs, web, infrastructure, and cloud)
Validated findings with proof of concept, evidence payloads, and step‑by‑step reproduction
Black‑box and white‑box testing modes for speed and depth
Automated remediation with merge‑ready pull requests and verification retests
Continuous 24/7 monitoring and testing of the entire stack
Auto‑triage with deduplication and prioritization by severity, exploitability, context, and impact
Enterprise‑grade security: SOC 2, RBAC, audit logging, SSO, and custom deployment options (cloud, on‑prem, air‑gapped)
Deep integrations with Jira, Slack, GitHub, and CI/CD pipelines
Latest threat and CVE testing within hours of disclosure, plus rapid deployment with results in minutes
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ModelRed: Automated AI red teaming and security scoring for LLMs, provider-agnostic and CI/CD ready.
Establish continuous, autonomous penetration testing across the entire stack without scaling headcount.
Shift‑left security with white‑box code analysis, auto‑generated PR fixes, and retesting in the SDLC.
Gate releases by triggering pentests in CI/CD and block risky deployments automatically.
Continuously validate cloud and infrastructure configurations and detect misconfigurations.
Fuzz and test REST/GraphQL endpoints for auth, injection, and logic flaws pre‑ and post‑release.
Run rapid pre‑launch security checks on new features to reduce time‑to‑market risk.
Generate audit‑ready evidence and reports for SOC 2/ISO with full logs and RBAC controls.
Augment assessments with autonomous scanning, PoCs, and prioritized remediation guidance.
Get fast, affordable, and continuous security testing without hiring an internal red team.
Rapidly test exposure to newly disclosed CVEs within hours and validate exploit paths.