SafeKeyLab provides an end‑to‑end security platform that embeds real‑time threat detection, adversarial testing, and policy enforcement into AI model serving and data‑flow layers. The platform supports offline, air‑gapped deployments, generates compliance reports for standards such as FedRAMP and SOC 2, and integrates natively with major LLM and cloud providers.
Funding
Funding not disclosed
Founders
Product
Problem
Organizations deploying large language models, vision systems, and autonomous control loops lack a unified security and governance framework, exposing them to adversarial manipulation, data leakage, and regulatory non‑compliance, especially in high‑stakes domains such as defense, robotics, and finance.
Solution
SafeKeyLab delivers an end‑to‑end security platform that protects AI pipelines from model input through autonomous action output. The solution embeds real‑time threat detection, adversarial testing, and policy enforcement directly into model serving and data‑flow layers, ensuring that malicious prompts, corrupted visual inputs, or tampered decision logic are blocked before execution. Built‑in compliance modules generate audit trails, PII redaction, and governance reports to satisfy standards like FedRAMP, IL4/IL5, SOC 2, and PCI‑DSS. The platform operates offline and supports air‑gapped deployments, guaranteeing zero external dependencies for classified or regulated environments. Native integrations with major LLM and cloud providers enable seamless insertion of security controls without redesigning existing pipelines.
Target Audience
Primary customers are security and compliance teams, ML engineers, and autonomous‑system developers in defense, robotics, federal agencies, and financial services that require hardened AI pipelines and regulatory assurance.
Features
- Inline security hooks for LLMs, vision models, and action controllers that perform sub‑15 ms threat detection and mitigation.
- Automated adversarial testing suite covering prompt injection, image perturbation, decision‑logic tampering, and actuator hijacking.
- Real‑time PII detection and prompt sanitization via the open‑source pii‑guard library, with zero‑dependency deployment.
- Comprehensive compliance engine delivering audit logs, policy‑based governance, and exportable reports for FedRAMP, IL4/IL5, SOC 2, HIPAA, GDPR, PCI‑DSS, and SOX.
- Air‑gapped, 100 % offline capable runtime that prevents any outbound communication from protected AI workloads.
- Native SDKs and IDE plugins (VS Code, Cursor, Claude Desktop) providing in‑IDE diagnostics, security linting, and secure code‑assistant integration.
- Pre‑built connectors for OpenAI, Anthropic, AWS Bedrock, Azure OpenAI, LangChain, and LlamaIndex, enabling rapid onboarding of existing model stacks.
- Enterprise‑grade SLA with 99.97 % uptime, support for 150+ PII categories, and multilingual coverage across 40+ languages.