Lasso Security
LLM security platform that monitors AI app traffic for prompt injection and data leakage in real time - raised $7M seed to protect enterprise AI deployments.
Lasso Security is an LLM security platform that sits inline between an application and its LLM API to inspect every prompt and response for prompt injection attempts, jailbreaks, policy violations, and sensitive data exposure before threats reach the application or end users. Founded in 2023 by Roy Weiss and Elad Schulman in Tel Aviv, the company raised $7 million in seed funding in 2024 to address the growing security risks of enterprise AI deployments where customer-facing LLM applications handle regulated data and are targeted by adversarial prompt attacks. The platform uses a proxy architecture that requires a single endpoint configuration change - no application code modifications - and provides a complete audit trail of all LLM requests and responses with flagged events for compliance and incident investigation. Lasso connects to OpenAI, Anthropic, Azure OpenAI, and any OpenAI-compatible API, including self-hosted models via LiteLLM and similar proxies.
Key Features
- Real-time LLM traffic inspection sits inline between the application and the model API, blocking threats before responses reach the application layer
- Prompt injection detection identifies adversarial input attempts that try to override system instructions, extract training data, or hijack model behavior
- Data exfiltration prevention detects when LLM responses contain PII, credentials, API keys, or other sensitive data that should not leave the system
- Custom policy rules let security teams define what content the AI application can receive and produce, with configurable block, redact, or alert actions
- Jailbreak detection identifies known and novel attempts to bypass AI model safety guidelines using a continuously updated detection library
- Audit trail logs every LLM request and response with flagged events, user context, and timestamps for SOC 2, HIPAA, and financial regulation compliance
- OpenAI, Anthropic, Azure OpenAI, and any OpenAI-compatible API are supported - one endpoint configuration change, no application code modifications required
Use Cases
- Enterprise AI teams deploying customer-facing LLM applications that handle regulated data and need real-time guardrails against prompt injection attacks
- Security engineers auditing all LLM traffic in internal AI assistants for compliance with data handling policies and access control requirements
- Financial services companies preventing customer account data from appearing in LLM responses when AI tools are connected to internal database systems
- DevOps teams integrating Lasso into CI/CD pipelines to test AI application behavior against a library of known attack patterns before each production release
Pros
- Inline proxy architecture requires only a single API endpoint configuration change - security monitoring is added without touching any application code
- Jailbreak and injection detection runs before the response is returned to the user - threats are blocked at the source rather than logged after the fact
- Full request and response audit trail satisfies SOC 2, HIPAA, and financial regulation audit requirements for AI-powered application compliance reporting
Cons
- No public pricing and no self-serve sign-up make Lasso inaccessible for startups and individual developers who want to evaluate LLM security options independently
- Inline proxy adds an additional network hop that can increase LLM response latency by 20-50ms depending on deployment region and traffic volume
- Focused exclusively on LLM API traffic - does not provide broader application security coverage like WAF rules, SAST scanning, or infrastructure vulnerability detection
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Wiz
Cloud security platform trusted by 45% of Fortune 500 - scans AWS, Azure, GCP, and OCI for risks without installing agents, $1.9B raised.
Nightfall AI
AI-powered cloud data loss prevention platform that detects PII, secrets, and PHI across Slack, GitHub, Google Drive, and 100+ cloud apps in real time.
Lakera AI
LLM security platform that protects AI applications from prompt injection, jailbreaks, and sensitive data leakage - known for Gandalf, played by 1.5M+ users worldwide.
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