Secure AI-generated code, models, prompts, notebooks, MCP servers, and AI-driven application workflows from development to production.
AI is changing how software is built. Developers are using AI coding assistants, teams are building AI applications, and enterprises are adopting models, prompts, notebooks, and MCP servers. This creates new security risks across code, data, model behavior, runtime access, and software supply chain.
OpsMx provides the security and remediation workflow needed to identify, prioritize, fix, govern, and verify AI-related risks.
Comprehensive security across code, models, applications, data science workflows, and AI agents.
AI coding tools can generate vulnerable code, insecure dependencies, exposed secrets, unsafe APIs, and policy violations.
Help developers use AI coding tools safely without increasing application risk.
AI applications introduce new risks through APIs, data flows, prompts, plugins, and runtime behavior.
Find and fix exploitable risks before AI applications reach production.
Models can introduce risks through unsafe behavior, vulnerable artifacts, malicious models, and insecure dependencies.
Understand what models are being used, where they came from, and whether they introduce risk.
Static checks are not enough. AI systems must be tested dynamically for unsafe behavior under real-world conditions.
Validate how AI systems behave under adversarial and real-world conditions.
Notebooks often contain secrets, credentials, datasets, model experiments, and ungoverned code.
Reduce risk in AI experimentation and data science workflows.
MCP servers connect AI agents to tools, data, systems, and enterprise workflows. This creates new attack surfaces.
Help enterprises safely adopt MCP-based AI agents without exposing critical systems.
Finding AI security issues is not enough. OpsMx helps enterprises fix, govern, and verify remediation across the entire workflow.
AI security risks across code, models, prompts, notebooks, APIs, and MCP servers
By exposure, exploitability, business impact, and runtime context
Root cause and ownership in AI workflows
Using AI-assisted fix generation and developer workflows
Policies, approvals, and audit trails for AI changes
Confirm that risk is actually reduced
Integrates with your existing development and security tools without replacement.
Real impact on security, velocity, and compliance for AI-powered applications.
Validate every line before it merges, so velocity never comes at the cost of security.
Catch non-existent packages before an attacker registers them with malware.
Know which AI tools, models, and versions are generating code across your org.
Discover unapproved AI systems and bring ungoverned AI under policy control.
Detect prompt injection, API risks, and unsafe AI behavior before production.
Generate AI provenance, model lineage, and audit evidence for regulators.
OpsMx helps security and engineering teams adopt AI safely by securing AI-generated code, AI applications, models, notebooks, prompts, MCP servers, and remediation workflows.
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