SHIP
From gateway control to runtime guardrails and full-stack observability — we harden AI systems for production and audit readiness.
Production-Grade AI Security Infrastructure
Our platform is the AI security and operations layer that sits between your applications and any LLM — OpenAI, Anthropic, Bedrock, or local models. Transparent. Audit-ready. 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 any LLM provider with automatic failover, caching, and cost optimization — no vendor lock-in.
Our platform 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. Five integrated layers working as one system.
Not a Tool. Not an MSSP. An Integrated Service Provider.
Most organizations try to secure AI with tools they assemble themselves, cloud features they hope are enough, or MSSPs that don't understand LLMs. None of these work. We built a new model: the ISP for AI Security.
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
How We Work
A disciplined, five-stage engagement — from initial assessment to continuous improvement.
Assess
Inventory AI systems, data flows, and threat surfaces. Understand what you're running, where the risks are, and what controls exist today.
Architect
Design the security architecture and policy framework. Define guardrail policies, monitoring rules, and governance workflows tailored to your environment.
Implement
Deploy infrastructure, integrate with your environment. Connect to your auth, logging, CI/CD, and ticketing systems. Onboard your first AI applications.
Monitor
24/7 detection, response, and continuous operations. Our AI-SOC watches every prompt, response, and tool call — and responds before threats escalate.
Continuously Evaluate
Ongoing red-teaming, governance reviews, and improvement. Quarterly assessments, compliance evidence packs, and continuous rule refinement.
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 the AI security platform in your environment — cloud, on-prem, or hybrid. You get enterprise-grade AI security infrastructure without hiring a dedicated platform team.
- Deploy and manage the platform 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
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.
- Our platform 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
- Our platform 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. | Full transparency. Complete audit trail. You own the infrastructure. |
| 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.
- Platform 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
Architecture Under the Hood
Every request flows through five integrated layers — gateway, guard, model, observe, test. One platform. ~265ms overhead.
Gateway
API Routing & Policy
P95 overhead
Guardrails
Input & Output Protection
attacks blocked
LLM Provider
Model Routing
models supported
Observability
Trace & Audit
requests traced
Gateway
API Routing & Policy
P95 overhead
Guardrails
Input & Output Protection
attacks blocked
LLM Provider
Model Routing
models supported
Observability
Trace & Audit
requests traced
Red Team
Adversarial Evals
attack vectors
Safety rules hardcoded in prompts
Centralized guardrail infrastructure
Testable, auditable, one-line updates
No failover, vendor lock-in
Multi-model gateway with auto-failover
Swap models in config, not code
Ship and pray
Automated evals + red-teaming in CI/CD
Catch regressions before production
AI Security Isn't a Feature. It's Infrastructure.
Features ship in sprints. Infrastructure protects everything that ships after it. We build the infrastructure layer that makes every AI deployment secure, governed, and audit-ready — not a checkbox, but a foundation.
Questions? We Have Answers.
One Partner. One AI Security Stack. No AI Incidents.
Secure, govern, and scale your AI systems in production.