Control what your AI agentscan detect
Zencorix sits inline between prompt, tool call, and execution so teams can secure AI agents operating in wallets and trading flows, internal tools, and other high-trust environments.
Runtime
governance.
One product story, three clear buyers: wallet and trading agents, tool-using copilots, and security/audit teams.
Best wedge today is DeFi and wallet-agent protection, while the same runtime architecture fits AI systems outside crypto.
Prompt & Action Detection
Classify risky intent across user prompts and tool/action contexts before execution, including prompt injection and indirect injection.
Detect.Enforce.Prove.

Built first
for DeFi agents.
DeFi is the wedge because if an agent can approve spend, route swaps, or move assets, guardrails must run before the transaction is signed.
High-blast-radius wallet actions are checked in-path before execution.
Proof
& operating model.
Integrate
your stack.
Live integrations currently supported in production paths. We only list what is actually wired today.
Governed,
not blind.
Runtime security changes execution outcomes. Move from after-the-fact monitoring to policy enforcement before side effects.
Without Zencorix
- Prompt injection reaches live tools and downstream systems
- Agents execute risky approvals, transfers, or destructive actions
- Sensitive context leaks into prompts, logs, or memory
- Multi-step abuse chains are detected after execution
- Security teams lack replayable records for disputes
- High-risk workflows rely on scattered app-side checks
With Zencorix
- Inline validation before prompts or tool calls execute
- Risk scoring across patterns, entropy, ML, and context signals
- Deterministic runtime enforcement for high-risk actions
- Session-aware analysis for chained behavior
- Hash-first proof flow keeps sensitive text off-chain
- Replayable audit trail with async proof anchoring on 0G
Prompt Injection Detection
Detect direct and indirect prompt injection attempts before tool execution.
Data Poisoning Signals
Flag suspicious retrieval context and manipulated knowledge inputs.
Model Poisoning Indicators
Surface abnormal behavior patterns that suggest compromised model outputs.
Tool & MCP Poisoning
Detect malicious tool payloads, unsafe function calls, and scope violations.
Secure your agents.
Operate with confidence.
One runtime layer for builders and security teams: detect inline, enforce before side effects, and preserve verifiable evidence without slowing execution.
Runtime SDK + API
Drop-in validate/check/execute flow for tool-calling agents.
Tenant policy control
Versioned rules, scoped overrides, and approval pathways.
Proof-first operations
Signed receipts and replayable audit evidence per decision.
Security team workflows
Incident review, dispute lookup, and governance-ready history.
Plans for
secure scale.

Starter
For early teams
billed annually
- 100,000 runtime checks / month
- Up to 3 protected agents
- Validator + runtime enforcement
- Metadata audit logs
- Email support
- Overage: $8 per 10,000 checks
Growth
Most Popular
billed annually
- 750,000 runtime checks / month
- Up to 12 protected agents
- Override workflows
- Proof trail (Chain + Storage)
- Incident workflow tooling
- Priority support
- Overage: $6 per 10,000 checks
Enterprise
For regulated teams
- 3,000,000 runtime checks / month
- Up to 50 protected agents (custom above)
- SSO + RBAC
- Custom retention posture
- DA batching and compliance exports
- SLA and dedicated success manager
- Advanced governance controls
- Overage: $4 per 10,000 checks
Add-ons
- •Extra protected agents: $20/agent/mo (Starter), $15/agent/mo (Growth), custom (Enterprise)
- •High-assurance recheck (Compute path): $0.003 per uncertain-case recheck
- •Compliance export pack: $500/mo
- •24/7 premium support: $1,000/mo
- •One-time onboarding: $2,500 (Starter/Growth), $10,000 (Enterprise)
Pilot Offer
- •30-day pilot: $1,500 fixed
- •Includes up to 300,000 checks and up to 10 agents
- •Proof trail enabled and runtime enforcement integrated
- •Security report delivered at pilot end
Start securing
live agent workflows.
Start with hands-on validation, or walk buyers through proof verification and runtime architecture for high-trust environments.
Built for high-trust enterprise AI workflows









