Clam

Semantic Firewall that secures AI agent inputs and outputs at the network level.

Clam is an enterprise AI security platform that provides a Semantic Firewall — a security layer that sits at the network level and scans all inputs to and outputs from AI agents for threats including PII leakage, prompt injection attacks, and malicious code. Where traditional application firewalls operate on network traffic patterns, Clam’s semantic approach understands the content and intent of AI interactions, enabling it to detect threats that are invisible to conventional security tools. It is designed to integrate at the infrastructure level without requiring changes to the agents themselves, making it deployable across an enterprise’s AI stack regardless of which agent frameworks or models are in use. Clam targets SMB to enterprise organizations deploying AI agents in contexts where data security and input integrity are critical concerns.

Compliance

SOC 2

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Key Features

Semantic Firewall: Operates at the network level to inspect the meaning and content of agent inputs and outputs — not just packet metadata — detecting threats that require language understanding to identify.
PII leak detection: Identifies personally identifiable information in agent outputs before it is returned to users or logged, preventing inadvertent data exposure from AI systems that have access to sensitive data.
Prompt injection blocking: Detects and blocks prompt injection attempts — inputs designed to override agent instructions or extract protected information — before they reach the agent’s context.
Malicious code detection: Scans agent inputs and outputs for malicious code patterns, relevant for coding agents or agents that interact with code execution environments.
Network-level integration: Deploys as a network-level security layer rather than an application-level integration, enabling coverage across all agents in an environment without modifying each one individually.
Enterprise scalability: Built to operate at enterprise traffic volumes with the latency characteristics required for real-time agent interaction security.

Use Cases

For enterprises securing customer-facing AI agents: An enterprise deploying AI agents that interact with customers and have access to customer data uses Clam to ensure PII is not leaked in responses and that customer inputs cannot be used to inject malicious instructions into the agent.
For security teams adding AI-specific protection to their stack: A security team responsible for an organization’s AI deployment uses Clam as the AI-specific security layer in their architecture, covering the threat vectors — prompt injection, semantic data leakage — that their existing security tooling was not designed to address.

Pricing MODELS

Enterprise, Saas subscription

Pricing Summary

Clam uses a SaaS subscription model with custom enterprise pricing for larger organizations. Specific subscription tier pricing is not publicly listed — organizations contact the company for a quote.