SlashLLM

SlashLLM is a cybersecurity company that provides an AI security infrastructure platform designed to sit between enterprise applications and large language model (LLM) providers such as OpenAI, Anthropic, AWS Bedrock, and local models. The platform operates as a transparent proxy and is structured around five integrated layers: Gateway, Guardrails, Observability, Testing, and Governance. The Gateway & Policy Engine provides a unified API layer with authentication, rate limiting, and policy enforcement across model providers. The Guardrails component handles input and output filtering, including prompt injection blocking, PII redaction, and harmful content detection. Observability includes full request/response logging, cost tracking, latency monitoring, and tamper-proof audit trails. The Testing layer offers automated vulnerability scanning, jailbreak testing, and continuous regression suites. Governance provides centralized policy management, compliance templates, and version-controlled security configuration. SlashLLM positions itself as an Integrated Service Provider (ISP) for AI security, offering three service pillars: Embedded Engineering (platform deployment and operations), an AI Security Operations Center (AI-SOC) providing 24/7 monitoring and incident response, and Continuous Governance covering risk registers, compliance framework mapping (SOC2, ISO 27001, HIPAA, GDPR, EU AI Act), and audit evidence packs. Target customers include CISOs, security and infrastructure engineering teams, product development teams, and managed service providers. Pricing follows a flat-rate model across three tiers (Foundation, Growth, Strategic) based on the number of AI applications covered, regions, and governance depth. The platform is deployable via Docker/Kubernetes and integrates with IAM, SIEM, and CI/CD systems.