AI Security Engineering for Modern Software Teams
Cybros continuously audits your repositories, APIs, AI systems, and cloud infrastructure with deterministic scanners and specialized AI security agents — then hands you fixes, not just findings.
One engine, six surfaces
A real multi-scanner engine, unified
Cybros runs the industry scanners you would otherwise stitch together — plus a native AI-security scanner — behind one operational view with consistent severity, policy, and reporting.
SAST
First-party rules plus semgrep and bandit find injection, authz gaps, and unsafe patterns in the code that changed.
SCA & CVEs
osv, trivy, and pip-audit track known vulnerabilities across your dependency tree and propose verified upgrades.
Secrets
gitleaks and trufflehog catch leaked credentials, tokens, and keys across source and full git history.
IaC
checkov audits Terraform, Kubernetes, and cloud policy for misconfigurations before they reach production.
API
OpenAPI, CORS, and JWT analysis maps attack surface and tests endpoints against the OWASP API Top 10.
AI Security
A native scanner for LLM apps and agents — prompt injection, tool-calling abuse, RAG poisoning, and unsafe agents.
9-agent AI security pipeline
From diff to remediation, on every change
A structured, guardrailed pipeline runs on what changed — no free-form output. Nine specialized agents hand off in sequence to explain, triage, and fix.
A change lands
A push or pull request triggers a scan against the affected surface only — fast enough to live in the developer loop.
Scanners + agents run
Deterministic scanners and the 9-agent AI pipeline analyze code, APIs, IaC, dependencies, and secrets in parallel.
Fixes, not just findings
Findings are deduplicated and triaged for exploitability; one click generates an AI patch, runs tests, and opens a PR.
Security Workspace
Every finding is a case you can actually work
No triage spreadsheet. Each finding carries the evidence, standards mapping, business impact, an AI explanation and fix, related findings, full history, comments, an owner, and a status — so remediation moves.
Deduplicated across scanners, triaged for exploitability.
- Prompt injection
- MCP abuse
- Tool-calling abuse
- RAG / vector poisoning
- Unsafe agents
- Memory poisoning
- Agent loops
- Data exfiltration
AI Security
Purpose-built for LLM apps and agents
As teams ship AI features, the attack surface changes. Cybros ships a native AI-security scanner with 14 detectors mapped to the OWASP LLM Top 10 — covering prompt injection, MCP and tool-calling abuse, RAG and vector poisoning, unsafe agents, memory poisoning, and runaway agent loops.
One-click AI Auto-Remediation
Generate a real pull request, verified
Cybros doesn't stop at a suggested diff. Generate PR runs an end-to-end pipeline and opens a real GitHub pull request you can review and merge.
Generate PR
AI patch
Run tests
Security re-check
GitHub PR
Developer surface
Meet developers where they are
Security that lives in the workflow — terminal, editor, and CI — not a separate dashboard nobody opens.
cybros CLI
Scan, audit, run AI reviews, and ship fixes from your terminal. Ships with the Python SDK.
Read the docsPython & TypeScript SDKs
Typed clients for every resource — script scans, findings, and remediation end to end.
Read the docsVS Code & JetBrains
Inline diagnostics and AI review without leaving your editor.
Read the docsgh cybros & GitHub Actions
A gh CLI extension plus a ready-made Action to gate deploys on policy in CI.
Read the docsCompliance Engine
Frameworks scored as live percentages
Cybros maps findings to controls and reports each framework as a severity-weighted percentage you can drill into — control by control — instead of a static, out-of-date checklist.
Evidence flows straight from scans and findings.
Enterprise
Ready for security teams, on your terms
Run Cybros as SaaS or in your own environment, with the controls enterprise security teams require.
Ship secure software, continuously
Connect a repository and run your first scan in minutes. No agents to deploy, no pipelines to rewrite.