Upwind AI Security

Security for every layer of the AI stack

AI introduces new risks and massive attack surface—shadow agents, insecure MCPs, sensitive data in motion, and model exploitation. Upwind delivers real-time visibility and runtime intelligence to stop AI-powered threats before they spread.

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Trusted by hundreds of enterprises around the world

Comprehensive Visibility &  Protection for Your AI Stack

See more customer feedback in our case studies →

Upwind helps us eliminate alert fatigue by providing us with information that is relevant and actionable in real-time.

Kurdeen Karim

Information Security and Privacy

With Upwind, we are able to identify any vulnerabilities and can prioritize them for remediation — helping us operate more efficiently and securely.

Sardorbek Pulatov

VP Engineering (Security)

Upwind’s ability to deeply prioritize risks and focus on what is critical has empowered our team with 7x faster time to remediation.

Michal Gorniak

Engineering Lead

Map Every AI Service, Agent & Usage

Auto-discover AI across cloud & apps
Inventory models, MCP frameworks, admin endpoints, and embedded LLM calls.
Eliminate blind spots instantly
Identify shadow AI adoption and unsanctioned API usage.
Monitor runtime behavior continuously
Track agent actions, execution paths, and cross-service reachability.

Prioritize Risks with AI Usage Context

Focus on what’s truly exploitable
Tie vulnerabilities to LLM interactions, API permissions, and data exposure.
Recognize risky model behavior
Flag actions like privileged automation or sensitive information access.
Cut noise and alert fatigue
Detect the 5% of threats that can actively impact your environment.

Map MCP & Agent Communications

Visualize real-time communication paths
Track data moving between agents, apps, and external services.
Spot unauthorized access early
Uncover unusual network flows and anomalous interactions.
Control data in motion
Block risky data access and detect covert exfiltration.

Enforce AI-Specific Configurations (AI-SPM)

Stop vulnerable models & APIs before deployment
Detect misconfigurations and unsafe integrations.
Secure model inputs and outputs
Prevent prompt injection, jailbreaks, and unintended data leakage.
Guardrails aligned with runtime reality
Validate AI posture continuously without slowing developers.

Defend Against AI-Native Threats in Real Time

Catch AI attack behavior instantly
Detect anomalous execution, lateral automation, and malicious code generation.
Block rapidly spreading risks
Terminate compromised agents before attackers pivot.
Automated containment
Protect workloads while maintaining uptime and user experience.