Secure AI Agents in Production
Crittora adds a cryptographic trust fabric, verify-before-commit gates, single-use keys, and signed receipts, to every agent instruction and state-changing tool call, so agents can safely touch real systems.
Crittora MCP Permission Gate
Crittora MCP Permission Gate ensures agents only act on instructions that are authenticated, authorized, and untampered. It blocks anything outside policy. It provides cryptographic verification, single-use keys, and signed receipts that prove what happened, who requested it, and when. These controls drop directly into MCP-supported agent workflows without requiring application changes.
Why Crittora
THE CRITICAL GAP IN AI AGENT SECURITY, SOLVED.
Identity-bound encryption with single-use API keys and a tamper-evident cryptographic audit trail for humans and AI agents.
Governed Agent Access
Control exactly which agents can access which systems — and under what constraints.
Prevent Unauthorized AI Actions
Stop fraud and abuse by blocking agent actions that lack verified identity, authorization, or payload integrity.
Contain Issues Before They Spread
Whether it’s a tampered instruction or a compromised component, Crittora prevents it from cascading into a larger incident.
Always be audit-ready
Show customers, regulators, and your board exactly what happened and why — with Step-Proofs, signed Proof-of-Action receipts for every critical action, not just logs.
TESTIMONIALS
The debut of Crittora's encryption methodology is exciting for what it brings to market now and what it promises for the future of professional security solutions that are incredibly simple to use and provide strong value.
Saneel Amin
Chief Financial Officer at Fortress Information
33%
GenAI interactions expected to use action models and autonomous agents by 2028
311B
Web attacks in 2024, a 33% year-over-year increase
37%
Organizations reporting an API security incident in the past 12 months
24%
Breaches where the use of stolen credentials was the top initial access action
CISO Brief
HOW CRITTORA SECURES THE LAST STEP OF AI EXECUTION
Crittora enforces security at the exact moment an agent takes action. It places cryptographic gates, single-use keys, sealed payload integrity, and Step-Proofs (signed Proof-of-Action receipts) on every step that can change real systems.
Cryptographic verify-before-commit gates
Every high-risk agent action must pass through a cryptographic Permission Gate. Each call is signed, verified, and checked against policy before it can execute. This blocks forged callbacks, replay attempts, tampered payloads, and scope violations at the moment they occur.
Single-use, policy-scoped keys
Standing secrets are replaced with one-time keys tied to the specific agent, tool, scope, and request. Each key expires immediately after use, eliminating broad reusable credentials and collapsing lateral-movement risk across MCP-exposed tools.
Sealed context & payload integrity
Tool inputs, outputs, and context are sealed in tamper-evident cryptographic envelopes across orchestrators and tools. If an MCP server, plugin, or component mutates content or injects altered payloads, signature checks fail, and the action is stopped before reaching any system of record.
Step-Proofs & the AI Trust Ledger
Each validated step produces a signed Proof-of-Action receipt that binds identity, intent, tool, and payload. These receipts create portable, audit-ready evidence for compliance, forensics, and regulatory reviews. This is stronger than logs alone.
Built into agent & gateway stacks
Crittora integrates with LangGraph, LangChain, custom runtimes, Kong, Apigee, AWS, and MCP-native frameworks, enforcing cryptographic permissions at the exact seams where agents act. If it speaks MCP, it inherits Permission Gate controls by default.
FOR DEVELOPERS & AGENT ARCHITECTS
Crittora MCP Server: The cryptographic tooling layer for MCP agents
Crittora MCP Server exposes Crittora’s Permission Gate controls, verify-before-commit checks, single-use keys, and signed receipts, as standard MCP tools any compatible agent can call. Agents using OpenAI, Claude, LangGraph, LangChain, or other MCP runtimes gain cryptographic permission enforcement without changing their application logic.
Crittora turns MCP into a secure execution surface where every tool call is signed, verified, and recorded as a Step-Proof.
Every invocation becomes a Step-Proof, an immutable, tamper-evident record of identity, intent, and action aligned with EU AI Act traceability, ISO/IEC 42001, NIST AI RMF, and FFIEC/OCC audit expectations.
Claude, OpenAI, LangGraph, multi-agent frameworks — if it speaks MCP, it speaks Crittora. Secure autonomy becomes a single MCP server, not a ground-up rewrite
Agentic AI Security FAQ:
Tool Calls, Authorization, and MCP
Direct answers on identity verification, least-privilege access, payload integrity, and audit proof for AI agents acting in production.
How do you secure AI agents that can take actions in production?
Start by treating action-taking as a security boundary. Enforce verified identity, runtime authorization, and tamper-evident integrity before an agent request can reach tools, Application Programming Interfaces (APIs), or systems of record.
What security controls matter most when an agent can call tools and APIs?
The highest leverage controls are Identity and Access Management (IAM), least-privilege authorization, and integrity checks for requests and outputs. These controls reduce the chance that an untrusted request becomes a real system change.
How should agents be authenticated in a tool-calling workflow?
Agents should have a strong, non-human service identity and use modern authorization patterns such as OAuth 2.0 (authorization framework) with scoped access. Avoid sharing credentials across agents, tools, or environments.
Where should authorization be enforced in an agent workflow?
Authorization should be enforced as close as possible to the execution seam: right before a tool or API call can change a system. This is often implemented as a verify-before-commit gate that checks policy at runtime.
Why are long-lived API keys risky for autonomous agents?
Long-lived secrets are reusable and can be replayed or misused if exposed. Prefer short-lived or single-use credentials scoped to a specific request, tool, and permission set.
How do you detect instruction or payload tampering in an agent-to-tool call?
Use cryptographic signing and verification to ensure integrity and authenticity of requests and critical outputs. If the payload is altered in transit or by a component, signature verification fails and the action can be stopped.
What is the difference between logs and cryptographic proof for compliance?
Logs are records of what a system reports happened. Cryptographic proof uses signed receipts that bind identity, policy outcome, time, and action context, creating stronger evidence for audit, compliance, and forensics.
How do you reduce blast radius in multi-agent systems?
Design agents with narrow roles and least privilege, ideally one primary capability per agent. Segment tools behind dedicated agents so access to one agent does not automatically grant access to every tool.
What risks remain even with strong execution security?
Execution security does not guarantee the agent chooses the correct action. Hallucinations, reasoning mistakes, and bad business logic still require workflow design, human review for high-risk steps, and monitoring.
What is Model Context Protocol (MCP) and why does it matter for security?
Model Context Protocol (MCP) is a standard way for agents to connect to tools and external capabilities. Security matters because MCP expands the tool surface area, making Identity and Access Management (IAM), authorization, integrity verification, and audit evidence essential.