Your Integrated Service Provider for AI Security.
One integrated AI security stack. One embedded team. No AI incidents. Stop choosing between building it yourself, trusting a black box, or hiring a generic MSSP.
6 Layers. ~295ms Total Latency.
Every request flows through six purpose-built security layers — from ingress to response delivery and beyond.
Gateway
First line of defense
Why Traditional Approaches Fail
Tool vendors sell you software and walk away. MSSPs bolt on generic monitoring. Neither was built for the threat landscape that comes with deploying GenAI in production.
Tool Vendors
Fragmented / DIY
- You integrate, configure, and maintain each tool
- No operational support or incident response
- Compliance is entirely your problem
- Gaps between tools leave you exposed
- Engineering team pulled into security firefighting
Traditional MSSPs
Slow / Legacy
- Built for network and endpoint — not AI
- No understanding of prompt injection or LLM threats
- Generic playbooks, slow response times
- Can't map to AI-specific compliance frameworks
- Another vendor to manage and coordinate
SlashLLM
Integrated / Native
- Platform + Operations + Governance integrated
- Purpose-built for AI and LLM threats
- 24/7 AI-SOC with AI-specific playbooks
- Continuous compliance evidence generation
- One partner, one outcome: no AI incidents
Powered by SlashStack
SlashStack is the AI security and operations layer that sits between your applications and any LLM — OpenAI, Anthropic, Bedrock, or local models. Open source. Transparent. Deployed in your environment.
Gateway & Policy Engine
Unified API gateway with authentication, rate limiting, and policy enforcement across every model provider.
Guardrails & Content Controls
Input and output filtering — prompt injection blocking, PII redaction, harmful content detection, custom rules.
Observability & Audit Trails
Full request/response logging, cost tracking, latency monitoring, and tamper-proof audit trails for compliance.
Testing & Red-Teaming
Automated vulnerability scanning, jailbreak testing, and regression suites that run continuously in the background.
Governance & Configuration
Centralized policy store, model routing rules, compliance templates, and version-controlled security configuration.
Multi-Model Routing
Route to OpenAI, Anthropic, Bedrock, or local models with automatic failover, caching, and cost optimization.
SlashStack deploys as a transparent proxy between your applications and LLM providers. Every request flows through the gateway, gets validated by input guards, routes to the appropriate model, passes through output controls, and is logged for observability — all with sub-300ms added latency. Built on battle-tested open-source components: LiteLLM, Promptfoo, OpenGuardrails, and Langfuse.
Three Integrated Pillars
Platform, security operations, and governance — delivered as one service, by one team. No gaps between vendors. No finger-pointing. One outcome: your AI is secure and audit-ready.
Embedded Engineering
We deploy, configure, and operate SlashStack in your environment — cloud, on-prem, or hybrid. You get enterprise-grade AI security infrastructure without hiring a dedicated platform team.
- Deploy and manage SlashStack in your cloud or on-prem
- 99.9% uptime SLA with proactive monitoring
- Integrations with your IAM, SIEM, CI/CD, and ticketing systems
- Capacity planning, scaling, and version management
- Runbooks and operational documentation
AI-SOC
Our AI Security Operations Center monitors every prompt, response, and tool call flowing through your LLMs. When something looks wrong, we detect it, investigate, and respond — before it becomes an incident.
- 24/7 monitoring of AI traffic, prompts, and tool calls
- Detection of prompt injection, jailbreaks, policy violations, and data exfiltration
- Incident response playbooks purpose-built for AI threats
- Continuous rule-tuning based on emerging attack patterns
- Periodic red-teaming to validate defenses
Continuous Governance
Security without evidence isn't security — it's hope. We maintain your AI risk register, map controls to compliance frameworks, and produce the evidence packs your auditors need.
- AI risk register and use-case inventory
- Framework mapping: SOC2, ISO 27001, HIPAA, GDPR, EU AI Act
- Quarterly governance reports and board-ready summaries
- Evidence packs for audit readiness
- Governance sessions with security, product, legal, and compliance stakeholders
How We Work With You
A concrete, phased engagement — not a vague "transformation journey." You know what happens, when, and what you get at every step.
Discovery & Blueprint
We start by understanding your AI landscape — what models you use, how data flows, what controls exist today, and where the gaps are.
- Inventory of AI use cases, models, and data flows
- Current-state security and governance assessment
- AI Security & Governance Blueprint
- Risk-prioritized implementation roadmap
Implementation & Integration
We deploy SlashStack, integrate it with your infrastructure, onboard your first AI applications, and set up dashboards and runbooks.
- SlashStack deployed and configured in your environment
- Integration with auth, logging, CI/CD, and ticketing
- First set of AI applications onboarded and protected
- Monitoring dashboards and operational runbooks
- AI-SOC handover and initial rule tuning
Ongoing Operations & Governance
We run your AI security day-to-day. 24/7 AI-SOC coverage, periodic red-teaming, quarterly governance reviews, and continuous improvement.
- 24/7 AI-SOC monitoring, detection, and response
- Quarterly red-teaming and vulnerability assessments
- Governance sessions with cross-functional stakeholders
- Compliance evidence packs and audit support
- Ongoing platform updates and rule refinement
Who We're For
Built for the people responsible for AI security, infrastructure, and compliance — not for everyone, but deeply for the right teams.
Security & GRC Leaders
You're accountable for AI risk but lack the specialized tools and talent to secure LLMs. Traditional security vendors don't understand prompt injection, agent-based threats, or AI-specific compliance requirements.
- Purpose-built AI threat detection and response — not repurposed endpoint tools
- Compliance mapping and evidence packs for SOC2, HIPAA, EU AI Act
- Quarterly governance reports and a maintained AI risk register
Platform / DevOps / SRE
Your team is expected to secure AI workloads on top of everything else. You need a solution that integrates cleanly with your existing stack — not another silo to manage.
- SlashStack deploys via Docker/K8s and integrates with your CI/CD, IAM, and SIEM
- We operate the platform so your team can focus on infrastructure, not AI security tooling
- 99.9% uptime SLA with proactive monitoring and scaling
AI / Product Teams
You want to ship AI features fast, but security reviews slow you down. You need guardrails that protect without blocking innovation — and a security partner who understands builders.
- Drop-in API integration — no code rewrites to add security
- Sub-300ms latency so your user experience stays fast
- Clear policies that let you ship confidently, not cautiously
MSSP / MDR / SI Partners
Your clients are asking about AI security, and you don't have a credible answer yet. You need a platform and practice you can white-label or co-deliver.
- Partner program with co-delivery and white-label options
- SlashStack as the AI security layer in your managed service portfolio
- Training, playbooks, and joint go-to-market support
How We Compare
Not all AI security approaches are equal. Here's how the options stack up.
| Criteria | Cloud Guardrails | Generic MSSP/MDR | DIY / In-House | SlashLLM as ISP ✓ |
|---|---|---|---|---|
| Transparency & Control | Black box. No visibility into how decisions are made. | Tool-dependent. Limited AI-specific insight. | Full control, but you build and maintain everything. | 100% open source. Full audit trail. You own the stack. |
| AI-Specific Depth | Content filtering only. No prompt-level or agent-level security. | Generic threat detection. Not built for LLMs. | As deep as your team can build. Requires specialized talent. | Purpose-built for AI: prompts, tools, agents, data flows, governance. |
| Scope of Coverage | Single layer (content safety). No ops, no governance. | Monitoring + alerting. Limited AI incident response. | Whatever you build. Gaps are your problem. | Platform + AI-SOC + Governance. End-to-end. |
| Pricing Model | Per-request. Costs scale with traffic. | Per-seat or per-device. Not aligned to AI workloads. | Engineering salary + infrastructure. Hard to predict. | Flat, predictable pricing. No per-request billing. |
| Time to Value | Hours (single layer only). | Weeks (generic onboarding, limited AI coverage). | 6+ months to build, test, and operationalize. | 2–4 weeks to blueprint, 4–8 weeks to full operations. |
Predictable Pricing. No Surprises.
We use flat, predictable pricing aligned to the scope of your deployment — number of AI applications, regions, coverage hours, and governance depth. No per-request billing. No surprise overages. You know what you're paying before you start.
Foundation
For teams deploying their first AI applications and need a solid security baseline.
- SlashStack deployment and configuration
- Business-hours AI-SOC monitoring
- Quarterly governance review
- Up to 5 AI applications covered
Growth
For organizations scaling AI across teams and need 24/7 coverage and deeper governance.
- Everything in Foundation
- 24/7 AI-SOC with incident response
- Monthly governance sessions
- Red-teaming and compliance evidence packs
- Up to 20 AI applications covered
Strategic
For enterprises with complex AI estates, multiple regions, and stringent regulatory requirements.
- Everything in Growth
- Dedicated AI-SecOps engineer
- Multi-region deployment and operations
- Board-ready reporting and audit support
- Unlimited AI applications
Questions? We Have Answers.
One Partner. One AI Security Stack. No AI Incidents.
Run, secure, and govern GenAI in production — with SlashLLM as your ISP for AI Security.