SlashLLM
AI security platform proxying LLM traffic with guardrails, SOC, and governance.
SlashLLM
AI security platform proxying LLM traffic with guardrails, SOC, and governance.
Data verified Jun 2026
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LLM Security
LLM Guardrails
AI Gateway
Prompt Injection
AI Governance
AI Observability
AI SOC
AI Compliance
GenAI Security
Agentic AI Security
SlashLLM is an AI security infrastructure platform that operates as a proxy layer between applications and LLM providers. It is delivered as an integrated service combining a software platform, a security operations center, and governance functions. The platform deploys in customer environments (cloud, on-premises, or hybrid) and intercepts all traffic between applications and LLM backends including OpenAI, Anthropic, AWS Bedrock, and self-hosted models. Core platform layers: - Gateway & Policy Engine: Unified API gateway with authentication, rate limiting, and policy enforcement across model providers - Guardrails & Content Controls: Input and output filtering including prompt injection blocking, PII redaction, harmful content detection, and custom rules - Observability & Audit Trails: Full request/response logging, cost tracking, latency monitoring, and tamper-proof audit trails - Testing & Red-Teaming: Automated vulnerability scanning, jailbreak testing, and continuous regression suites - Governance & Configuration: Centralized policy store, model routing rules, compliance templates, and version-controlled security configuration - Multi-Model Routing: LLM provider routing with automatic failover, caching, and cost optimization Service pillars: - Embedded Engineering: Platform deployment and operations with 99.9% uptime SLA, integrations with IAM, SIEM, CI/CD, and ticketing systems - AI-SOC: 24/7 monitoring of prompts, responses, and tool calls with detection of prompt injection, jailbreaks, policy violations, and data exfiltration - Continuous Governance: AI risk register, framework mapping (SOC2, ISO 27001, HIPAA, GDPR, EU AI Act), quarterly reports, and audit evidence packs The platform adds sub-300ms latency and is deployed via Docker or Kubernetes. Pricing is flat and subscription-based, not per-request.
SlashLLM FAQ
Common questions about SlashLLM including features, pricing, alternatives, and user reviews.
SlashLLM is AI security platform proxying LLM traffic with guardrails, SOC, and governance, developed by SlashLLM. It is a Security for AI solution designed to help security teams with LLM Security, LLM Guardrails, AI Gateway.
SlashLLM offers the following core capabilities:
1.API gateway with authentication, rate limiting, and policy enforcement across LLM providers
2.Input and output filtering including prompt injection blocking, PII redaction, and harmful content detection
3.Full request/response logging with tamper-proof audit trails and cost/latency tracking
4.Automated vulnerability scanning, jailbreak testing, and continuous regression suites
5.Multi-model routing with automatic failover, caching, and cost optimization
6.24/7 AI-SOC monitoring of prompts, responses, and tool calls with incident response
7.Centralized policy store with version-controlled security configuration and compliance templates
8.AI risk register and compliance framework mapping (SOC2, ISO 27001, HIPAA, GDPR, EU AI Act)
9.Audit evidence packs and quarterly governance reports
10.Deployment via Docker/Kubernetes in customer cloud, on-prem, or hybrid environments
SlashLLM integrates natively with OpenAI, Anthropic, AWS Bedrock, Docker, Kubernetes, CI/CD, IAM, SIEM. Integration support lets security teams connect SlashLLM to existing SIEM, ticketing, identity, and notification systems without custom development.
SlashLLM is built for security teams handling LLM Security, LLM Guardrails, AI Gateway, Prompt Injection. It supports workflows including api gateway with authentication, rate limiting, and policy enforcement across llm providers, input and output filtering including prompt injection blocking, pii redaction, and harmful content detection, full request/response logging with tamper-proof audit trails and cost/latency tracking. Teams typically adopt SlashLLM when they need to security for ai capabilities integrated into their existing stack. Explore similar tools at https://cybersectools.com/alternatives/slashllm
SlashLLM is a commercial Security for AI solution. For detailed pricing information, visit https://slashllm.com/ or contact SlashLLM directly.
Popular alternatives to SlashLLM include:
1.Portkey Guardrails for Bedrock - Configurable guardrails for Amazon Bedrock AI requests via an API gateway. (Commercial)
2.Confident Security - Platform for securing, governing, and monitoring AI/LLM deployments. (Commercial)
3.ThirdLaw AI Control Layer - Runtime AI policy enforcement: capture, evaluate, intervene, and investigate AI sessions. (Commercial)
4.Openlayer LLM Observability - LLM pipeline observability: tracing, monitoring, and alerting for GenAI systems. (Commercial)
5.First Recon AI Firewall - Inline firewall inspecting AI prompts/responses for injections & policy violations. (Commercial)
Compare all SlashLLM alternatives at https://cybersectools.com/alternatives/slashllm
SlashLLM is for security teams and organizations that need LLM Security, LLM Guardrails, AI Gateway, Prompt Injection, AI Governance. It's particularly suitable for enterprises requiring robust, commercial-grade security capabilities. Other Security for AI tools can be found at https://cybersectools.com/categories/ai-security
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