Core AI reasoning engine that analyzes security findings using LLM intelligence. Enriches raw findings with root cause analysis, risk scoring justification, and remediation recommendations.
Verified MCP tools, AI skills, and bundles. SBOM-attested. Per-org allowlists.
Core AI reasoning engine that analyzes security findings using LLM intelligence. Enriches raw findings with root cause analysis, risk scoring justification, and remediation recommendations.
Automated security finding prioritization using AI. Analyzes severity, blast radius, exploitability, and business context to rank findings by actual risk.
Generates actionable remediation steps, fix scripts, and configuration patches for detected security vulnerabilities using AI analysis.
Enriches security findings with OSINT, CVE references, CVSS scores, EPSS probabilities, and known exploit data using AI-powered threat intelligence.
Auto-generates compliance documentation and audit evidence from scan results. Supports SOC 2, ISO 27001, HIPAA, and GDPR frameworks.
Multi-step AI incident investigation: correlates security events, identifies attack chains, maps blast radius, and recommends containment and recovery actions.
AI-powered CI/CD pipeline security scanner (PipeWarden engine). Analyzes GitHub Actions, GitLab CI/CD, and Bitbucket Pipelines for vulnerabilities, misconfigurations, and security risks.
Scans MCP server configurations for security misconfigurations. Checks overly permissive tool access, unverified servers, missing auth, SSRF vectors, plaintext secrets, unencrypted transport, and command injection risks.
Hybrid AI agent that scans project dependencies for supply-chain risk. Hardened against the Mini Shai-Hulud / TeamPCP worm campaign (May 2026) — self-propagating malware in npm/PyPI/VS Code extensions that hides in postinstall scripts and harvests credentials. Combines deterministic checks (typosqua
Self-hosted prompt injection detection via Superagent guard models on local Ollama. Classifies every LLM input as pass/block with zero external API calls.
Detects unregistered AI agents, unauthorized MCP servers, and unapproved skills running inside OpenSyber workspaces. Compares the registered-agents truth from D1 against observed-agents telemetry from Claw Gateway sessions, agent_audit, and mcp-auditor. Emits ShadowAgentFinding[] with severity. Dire
Deep scan of npm/pip/go dependencies for CVEs, typosquatting, slopsquatting, and malicious postinstall scripts.
Automatic rotation of agent credentials on schedule or breach detection. Supports API keys, database passwords, and SSH keys.
Streams OpenSyber workspace + agent audit events real-time to enterprise SIEMs. Speaks Splunk HTTP Event Collector, Datadog Logs intake v2, and Microsoft Sentinel Log Analytics. Time-and-size batching, exponential backoff on 429/5xx, dead-letter persistence after MAX_RETRIES. Closes parity matrix ro
Hybrid AI agent for host kernel CVE exposure. Deterministic layer reads /proc/sys/kernel/osrelease, queries OSV.dev (distro-aware), and tails auditd opensyber_af_alg events. LLM layer handles distro-backport reasoning, AF_ALG behavioral triage (benign HSM vs reconnaissance), and operator-facing miti
Parses container logs for anomalies, error patterns, and suspicious activity.
Complete AI-powered security operations bundle. Includes intelligent finding analysis, automated triage, remediation generation, compliance documentation, threat intelligence enrichment, and multi-step incident response — all powered by LLM reasoning.
Complete self-hosted AI agent protection bundle. Includes neural prompt injection detection (Superagent guard-1.7B via Ollama), regex-based input sanitization (Ruflo AIDefence), and voice synthesis for spoken security briefings (Voicebox). Zero external API calls — all inference runs on your infrast