Secure Your Agents
from Prompt Injection
Detect and block prompt injection attacks in real-time. Prevent unauthorized tool calls, data exfiltration, and system compromise before they execute.
Your Agents Are Under Attack
AI agents connected to tools create new attack surfaces that traditional security cannot see. Our platform provides the visibility and control you need through DLP, sandboxed execution, and runtime protection.
Complete Data Provenance
Complete audit trail of the data flow of your agent's tool calls. No black box. Block data exfiltration before it happens. Track data lineage from source to destination with full visibility.
- Full data lineage tracking across agent operations
- Policy enforcement at the point of data egress
- Automated classification of sensitive data in agent context
- Audit trails for compliance and forensics
Separate Data from Instruction
Dual LLM Architecture enables clear separation of data from instruction, allowing MCP tools to execute in a secured sandbox environment with limited network and file access.
- Isolated runtime environments per agent session
- Granular permission boundaries and resource limits
- Network segmentation and egress controls
- Real-time behavioral monitoring and anomaly detection
Tool Call Firewall
Identify toxic flows in real-time. Prevent prompt injection and control flow hijack across agent interactions. Monitor behavioral patterns and intercept malicious actions before impact.
- Behavioral flow analysis across agent interactions
- Prompt injection and jailbreak detection
- Control flow hijack prevention
- Automated response and remediation workflows
Everything You Need to
Secure Your Agents
A complete platform for agent security. From detection to enforcement to compliance.
Built for Your Role
Whether you are securing the organization, responding to threats, or building agents, we have you covered.
Governance Without Friction
Get complete visibility and control over AI agents across your organization. Enforce security policies at scale without blocking innovation.
- Centralized policy management across all agent deployments
- Real time risk dashboards and threat visibility
- Compliance ready audit logs for SOC 2, HIPAA, and GDPR
- Incident response workflows and alerting
- Board ready security reporting
Security Research
Deep dives into AI agent vulnerabilities, MCP exploits, and defense strategies.
98% Accurate and Still Broken
We built a 98% accurate classifier. Here's why that number doesn't mean what you think it means.
The Hidden Risk in Notion 3.0 AI Agents: Web Search Tool Abuse for Data Exfiltration
A critical security vulnerability in Notion 3.0's AI Agents demonstrates how the combination of LLM agents, tool access, and long-term memory creates exploitable attack vectors for data exfiltration.
Shopify Exploit: Manipulating Shoppers
A critical vulnerability in Shopify's MCP allows attackers to manipulate consumer purchasing decisions using malicious prompts in product descriptions.
Frequently Asked Questions
Everything you need to know about securing your AI agents.
CodeIntegrity is an enterprise agent governance platform, not a detection tool. While solutions like prompt injection classifiers try to identify attacks, CodeIntegrity gives you architectural control over data access, tool permissions, and agent behavior across your entire production deployment.
CodeIntegrity separates your agent's reasoning LLM from a secured execution layer that handles tool calls in a sandbox environment with limited network and file access. This architectural separation means untrusted data never mixes with trusted instructions, preventing data exfiltration even if attackers successfully inject malicious instructions.
CodeIntegrity provides centralized governance across all deployed agents with real-time policy enforcement, data access controls, and complete audit trails. Security teams can define which tools agents access, what data they can touch, and block unauthorized actions before they execute.
CodeIntegrity validates and sandboxes all MCP tool calls before execution, preventing Tool Poisoning and Rug Pull attacks where tools inject malicious instructions or mutate their definitions. Our Tool Call Firewall monitors tool behavior in real time, blocking unauthorized actions even from tools that change after installation.
Rather than trying to detect malicious instructions hidden in documents, emails, or databases, CodeIntegrity's Dual LLM Architecture prevents them from causing harm by separating data from instruction at the architectural level. Our Tool Call Firewall identifies toxic flows in real time and blocks unauthorized actions even if malicious instructions reach your agent.
CodeIntegrity is SOC 2 compliant with comprehensive audit logging, access controls, and data protection mechanisms built in. Our architecture supports enterprise security requirements with immutable audit trails, role-based access control, and configurable policy enforcement that security teams need for compliance reporting.
CodeIntegrity enforces data governance at the architectural level with sandboxed execution that controls what data agents can access and where it can flow. Every data interaction is logged with full provenance tracking, giving security teams visibility and control over sensitive information across your entire agent fleet.
As organizations deploy agents at scale, traditional security tools can't keep up with autonomous systems that access data, invoke tools, and make decisions in real time. CodeIntegrity gives you the governance layer to control agent behavior, protect sensitive data, and maintain compliance so you can scale AI deployments without scaling risk.
Most teams are up and running quickly using our lightweight SDK that integrates with minimal code changes. CodeIntegrity works with LangChain, CrewAI, AutoGPT, Microsoft AutoGen, and any MCP-compatible system, with sandbox environments available for testing before production deployment.
CodeIntegrity is designed for production environments where latency matters. Our async processing doesn't block agent workflows, and sandbox execution runs in parallel with your agent's reasoning, maintaining the same responsive user experience as unprotected deployments.
Yes, CodeIntegrity provides granular policy controls that let you define which tools agents can access, what data they can touch, and what actions require approval. Policies can be configured per agent, per team, or organization-wide, with conditional rules based on context like user role, data sensitivity, or time of day.
CodeIntegrity is built for enterprise-wide agent governance with centralized policy management, role-based access control, and multi-tenant isolation. Whether you're running ten agents or ten thousand, security and compliance policies apply consistently across teams, departments, and business units without manual configuration.