9 purpose-built security products. All MCP-native. Unified by AI agents that investigate, respond, and hunt threats — so one person can run enterprise-grade security.
Every product is self-developed, MCP-native, and designed to be orchestrated by AI agents. Not wrappers. Not integrations. Real security engines — battle-tested against Lazarus Group campaigns and built for Web3.
Endpoint detection and response for Mac and Linux. Detection rules hardened against Lazarus Group TTPs — protecting developer workstations where private keys live and contracts get deployed.
External attack surface management. Discovers exposed APIs, leaked keys in repos, shadow infrastructure, smart contract deployer OSINT, and impersonation domains.
Next-generation firewall. Deep packet inspection with Web3-native rules — detects drainer C2 traffic, unauthorized RPC calls, private key exfiltration, and mining protocols.
Cloud security posture management. Audits AWS, GCP, and Azure for misconfigurations that expose private keys, RPC nodes, signing infrastructure, and deployment artifacts.
Web application firewall for dApps and APIs. Blocks malicious transaction signing injection, Permit2 phishing payloads, oracle manipulation attempts, and ABI overflow attacks.
Application security for Web3 codebases. SAST, SCA, and DAST with Web3-specific rules — detects hardcoded keys in deploy scripts, provider hijacking, and npm supply chain attacks.
Database security for Web3 infrastructure. Monitors access patterns, detects unauthorized queries, audits privilege escalation, and protects the data layer where off-chain state, user records, and signing metadata live.
Automated adversary simulation. Runs real attack playbooks against your infrastructure — from spear-phishing to privilege escalation — and validates whether your defenses actually work.
Proactive AI-driven threat hunting across all product data. Not passive log monitoring — agents actively search for hidden compromises, lateral movement, and indicators that rules alone miss.
Every product is MCP-native — meaning AI agents can directly query, analyze, and act across your entire security stack. No API wrappers. No translation layers. Native tool use.
Every morning, the AI agent pulls alerts from all 10 products, deduplicates, correlates cross-product signals, and prioritizes. You get a Lark briefing with exactly what needs attention — not 200 raw alerts.
For each incident, the agent autonomously queries across products — checking EDR for endpoint activity, EASM for exposed assets, NGFW for network patterns, CSPM for misconfigurations — building a complete attack timeline.
Confirmed threats get a response plan sent to your Lark — isolate endpoint, block IP, patch config. One click to approve. Meanwhile, the hunting engine proactively searches for threats that haven't triggered any alert yet.
Generic security tools don't know what a private key is, what a drainer contract looks like, or why your deploy script matters. Every one of our products ships with Web3-specific detection rules.
Book a demo to see how AI agents orchestrate 9 security products into one unified operation. Or request a free attack surface scan — zero deployment, results in 30 minutes.