Enterprise AI Security

Klyo: The Enterprise
AI Security Gateway

Q: What is Klyo and how does it work?

Klyo is an enterprise AI security gateway that sits between your employees and every AI model provider. It acts as a zero-trust firewall, enforcing security policies, redacting sensitive data, ensuring regulatory compliance, and controlling costs in real time.

Q: How does Klyo prevent data leakage to AI models?

Klyo uses NER-based PII detection and custom transformer models to identify and redact sensitive information in real time before it reaches any AI provider.

Q: Which compliance standards does Klyo support?

Klyo provides built-in compliance for the EU AI Act, GDPR, SOC 2, and NIST AI RMF with immutable audit trails and automated compliance reports.

Q: How long does it take to deploy Klyo?

Most enterprises deploy Klyo in minutes. It integrates via API gateway, browser extension, or native apps with zero changes to existing AI workflows.

Q: Does Klyo work with any AI model or provider?

Yes. Klyo supports 100+ LLM providers through a unified interface, including OpenAI, Anthropic, Google, Mistral, and self-hosted models via Ollama.

Q: Can Klyo be deployed on-premise?

Absolutely. Klyo is Kubernetes-native and supports full on-premise deployment, including air-gapped environments with no external connectivity.

Q: What does Klyo Enterprise include?

Klyo Enterprise is a full-stack AI platform. It includes Klyo Web (the browser-based chat UI for your teams), the enterprise gateway with intelligent routing to 100+ LLM providers, an AI firewall with real-time PII redaction, a compliance engine, cost controls, and an admin dashboard.

Securing the Future of Enterprise AI Adoption

Klyo Enterprise is the complete AI platform — a built-in web chat UI, zero-trust firewall, compliance engine, and intelligent routing across 100+ providers. Deployed in the cloud or fully on-premise.

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Web chat UI + enterprise gateway + security — one deployment.

Employees

Klyo Gateway Security • Policies • Audit

AI Providers

The Challenge

Enterprise AI is exploding — but security & governance are missing

Organizations are rapidly adopting AI, but without proper safeguards, they face serious risks to data, compliance, and budgets.

65% of organizations have exposed sensitive data to AI models, risking breaches and IP theft

75% of employees use AI tools without IT approval — creating uncontrolled shadow AI

€35M maximum fines under the EU AI Act for non-compliant AI usage in enterprises

3× average cost overrun on enterprise AI budgets without centralized usage controls

Threat Vector Analysis

Data Exfiltration Vectors

Direct PII leakage via unfiltered prompt context windows
Indirect extraction through multi-turn conversational probing
Embedding inversion attacks reconstructing training data
Cross-tenant data leakage in shared inference endpoints

Prompt Injection Taxonomy

Direct injection: overriding system prompts via user input
Indirect injection: payload delivery through retrieval context (RAG poisoning)
Multi-modal injection: steganographic payloads in image/audio inputs
Recursive jailbreaking via chain-of-thought exploitation

Compliance Gap Matrix

EU AI Act Art. 9: Risk management without audit infrastructure
GDPR Art. 35: No automated DPIA for high-risk AI processing
SOC 2 CC6.1: Missing logical access controls on model endpoints
NIST AI RMF: Zero governance tooling for AI lifecycle management

Our Solution

Klyo — the missing security layer for enterprise AI

A single gateway that sits between your workforce and every AI provider — enforcing security, compliance, and cost controls in real time.

Client Endpoint SDK / Browser Ext / API

TLS 1.3

Klyo Security Mesh Policy Engine • DLP Pipeline • RBAC

mTLS

LLM Provider Pool Multi-model orchestration

Immutable Audit Ledger Compliance • Forensics

Architecture Deep-Dive & Tech Stack

Stack

Frontend: Next.js 15 + React 19 (SSR)
API: FastAPI (Python 3.12), async, auto-docs
DB: PostgreSQL 16 + TimescaleDB
Cache: Redis 7 (sub-ms, task queues, rate limits)
LLM: LiteLLM (100+ providers unified API)
Monitoring: Prometheus + Grafana
Auth: JWT + bcrypt (cost 12) + TOTP

Security Pipeline

NER-based PII detection (spaCy + custom transformers)
Prompt injection classifier (fine-tuned DeBERTa)
Regex + semantic topic boundary enforcement
Configurable redaction strategies (mask / hash / tokenize)
SQL injection prevention via SQLAlchemy ORM
XSS prevention via React built-in escaping
Zero third-party analytics or tracking

Routing & Infra

4 strategies: cost, quality, latency, balanced
Circuit-breaker (>50% fail in 5min → auto-demote)
EMA-smoothed per-model performance tracking
SSE streaming with segment-based Markdown rendering
Kubernetes-native: horizontal scaling, zero-downtime
Sub-50ms security overhead per request
Air-gapped on-premise deployment ready

Zero-Trust AI Firewall

Real-time PII detection & redaction, prompt injection prevention, file blocking, and custom rules — with a live firewall audit dashboard showing action breakdown, daily trends, and top triggered rules.

NER-based entity extraction with custom transformer models. DeBERTa-v3 prompt injection classifier running sub-50ms inference. Configurable redaction pipelines: mask, hash (SHA-256), or reversible tokenization with HSM-backed key rotation. Pattern-based rules via regex, keywords, and semantic matching. SQL injection, code injection, and prompt injection blocking. Firewall dashboard with action breakdown (block, redact, alert, log), daily trend analysis, searchable event log filterable by action type over configurable time periods (7/14/30/90 days).

Full Compliance Engine

Immutable audit trails with structured config diffs, conversation review queues, mandatory reason fields for critical actions, soft-delete architecture, and export-ready logs for SOC 2, GDPR, and EU AI Act audits.

Append-only Merkle tree audit log with cryptographic tamper detection. Structured JSON config diffs with red/green before-after panels. Mandatory reason fields on user deactivation and password reset stored in audit log. Soft-delete architecture: users delete chats from their view, admins retain full history. Message edit & regenerate with full edit history preserved. CEL-based policy evaluation engine. Automated DPIA generation with risk scoring. CSV/JSON export across all admin modules with metadata envelope (timestamp, exporting admin, applied filters, record count).

Intelligent Model Routing

100+ LLM providers via a unified interface. Four routing strategies — cost, quality, latency, and balanced — with circuit breaker auto-failover, per-model performance tracking, and one-click provider setup.

Unified inference API normalizing provider-specific schemas (OpenAI, Anthropic, Google, Groq, Mistral, DeepSeek, xAI, Cohere, Together AI, Perplexity, Azure OpenAI, AWS Bedrock, Ollama). Weighted scoring matrix (latency / cost / quality) per request class. Circuit breaker pattern: models with >50% failure in 5min auto-demoted, ranked last as fallback. EMA-smoothed per-model latency, tokens/sec, and success rate tracking. Quality-driven routing using user feedback scores (min 5 ratings threshold). "Auto (Smart Routing)" synthetic option in model picker with per-message model attribution. Routing decision log persisted with full scoring breakdown. Quick Add Provider: paste API key, all models auto-configured. SSE streaming pipeline with segment-based markdown rendering and live Prism.js syntax highlighting.

Enterprise Security

TOTP-based 2FA with org-wide enforcement, SSO via LDAP/AD and OIDC, API key authentication, encrypted provider credentials, Redis-backed rate limiting, and brute force protection.

TOTP-based 2FA with QR code provisioning and organization-wide enforcement toggle. SAML 2.0 + OIDC federation with auto-provisioning (Keycloak, Azure AD, Okta, Google). LDAP/Active Directory integration with mapped attributes. API key auth via klv_ prefixed keys — SHA-256 hashed, expiration, usage tracking, user/admin revocation. Provider credentials encrypted at rest via Fernet (AES-128-CBC + HMAC-SHA256) in PostgreSQL; master key from Docker secrets (/run/secrets/klyvex_key). Optional HashiCorp Vault Transit engine integration. Redis-backed per-user/per-group rate limits (requests/hr, requests/day, tokens/day). Progressive brute force protection with configurable escalation to full account lockout. Global auth versioning: policy changes invalidate all sessions. Automated email alerts for lockouts, password resets, and new accounts.

Cost Intelligence & Analytics

Per-request cost tracking, admin cost dashboard with department & model breakdowns, user-facing usage meters with color-coded progress bars, and inline feedback for continuous model quality evaluation.

Per-request cost capture: prompt tokens, completion tokens, USD cost stored alongside every message. Flexible pricing engine configured per-model in YAML (cost_per_1k_input, cost_per_1k_output) with built-in fallback rates for GPT-4o, Claude, and Gemini. Local Ollama models default to $0. Admin cost dashboard: summary cards, daily trend chart, breakdown by department/model/user, filterable by time period (7/14/30/90 days). Chargeback-ready per-department and per-user data. REST API: GET /admin/costs?days=N. Cost intelligence panel: per-model cost trends, routing savings estimates, monthly projections. Inline feedback popup with thumbs up/down, predefined tags, and free-text. Admin ratings dashboard with per-model approval rates and tag frequency analysis. User-facing usage bars: color transitions at 70% (amber) and 90% (red) with auto-refresh.

Role-Based Access (LLM Groups)

Define which AI models each team can access. Flexible multi-group assignment, default groups for fallback, per-group routing strategies, and rate limits — with a full admin UI for real-time management.

LLM Groups: group-based permissions defining which models each team accesses. Flexible assignment with multi-group membership — users inherit the union of all allowed models. Default groups as fallback for users not explicitly assigned. Per-group routing strategy configuration with custom balanced weights and fallback preferences. Per-group rate limits: rate_limit_per_hour, rate_limit_per_day, max_tokens_per_day. Users in multiple groups get the most permissive limit. Zero-config backwards compatibility: without groups, all users see all models. Admin UI with real-time member assignment and model selection.

Plugin Ecosystem

Extend Klyo with hook-based plugins. Auto-discovery from the plugins directory, a curated plugin store, and a simple Python API — build custom middleware for content filtering, rate limiting, and more.

Three plugin hooks: pre_request (before firewall, can block/modify), post_firewall (after firewall, before LLM), post_response (after LLM response, can modify). Auto-discovery: drop a Python file in gateway/plugins/ extending BasePlugin. Plugin store with curated options: content filter, rate limiter, audit logger, PII detector, cost tracker, response cache. PluginContext provides message, user_id, conversation_id, metadata. PluginResult supports blocked, block_reason, modified_message. Enable/disable via admin UI without restart.

White-Label & Branding

Deploy Klyo under your own brand — custom company name, logo, colors, login background, and domain. Feels like an internal tool, not a third-party service.

Streaming & Local Inference

Real-time token-by-token streaming via SSE with live syntax highlighting. Optional GPU-accelerated local inference via Ollama for maximum data sovereignty and zero API costs.

SSE pipeline: LLM responses streamed as JSON-encoded SSE chunks, preserving newlines and special characters. Segment-based Markdown rendering: incoming content split into text segments, complete code blocks (full Prism.js highlighting), and partial streaming blocks (live preview with progress indicator). Docker Compose GPU override for NVIDIA GPUs: allocates all GPUs to Ollama, increases parallel handling to 4, keeps models in VRAM for 30min. VRAM optimization with configurable overhead reservation. CPU-only mode works out of the box; GPU is opt-in.

Premium Security Tier

Defense in depth — at the kernel layer

Where every other AI gateway stops at the application layer, Klyo enforces policy directly inside the Linux kernel via eBPF. Even a fully compromised gateway process cannot exfiltrate data to an unsanctioned LLM provider.

Kernel-Level Egress Enforcement

eBPF programs hook deep into the Linux network stack and inspect every outbound LLM request before it leaves the host. Policy decisions execute below userspace — there is no application-layer code path an attacker can bypass.

BPF programs attached to socket and traffic-control hooks (cgroup_skb, tc-egress) inspect SNI and IP at packet level. Allow/deny decisions backed by BPF maps populated from policy state. Privilege isolation: enforcement plane runs with CAP_BPF and CAP_NET_ADMIN; gateway userspace remains unprivileged. Compatible with stock kernels ≥ 5.15. Compiled with libbpf CO-RE; portable across host distros without recompilation.

Compromise-Resistant by Design

Privilege separation isolates the enforcement plane from the application. Even with full RCE on the gateway, an attacker still cannot reach an LLM provider — the kernel-resident policy is the last line of defense, and it does not trust userspace.

Cryptographically Verifiable Audit

Every allow, deny, and policy mutation is written to an append-only, hash-chained audit log. Auditors can prove what reached an LLM provider, what was blocked, and when policy changed — without trusting the gateway process.

Observe Mode

Logs every LLM-bound flow without blocking. Drop-in deployment, zero risk to existing traffic. Ideal for the discovery phase — see exactly which models, endpoints, and providers your applications touch.

Enforce Mode

Blocks unsanctioned LLM egress at the packet level. Allow-listed providers and policy-approved routes only. Designed for self-hosted and bare-metal Kubernetes deployments where the kernel is yours to govern.

Klyo Enterprise

The complete AI platform for enterprises

Everything your teams need in one deployment — the web chat UI, gateway, security engine, compliance tools, and admin dashboard. Cloud or on-premise.

Enterprise Platform

Klyo Enterprise

The full-stack AI platform — Klyo Web (the chat UI for your teams), the enterprise gateway, security engine, compliance tools, and admin dashboard. Available cloud-hosted or fully on-premise.

Klyo Web — browser-based AI chat for your teams
AI firewall with real-time PII redaction
Intelligent routing across 100+ LLM providers

Full compliance engine (EU AI Act, GDPR, SOC 2)
Role-based access, cost controls, and admin dashboard
Cloud or on-premise deployment (air-gapped ready)

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Full-stack deployment: Next.js 15 + React 19 frontend (Klyo Web), FastAPI (Python 3.12) backend with async/await. PostgreSQL 16 + TimescaleDB for time-series analytics. Redis 7 for sub-ms caching, task queues, and per-user/per-group rate limiting. LiteLLM abstraction for 100+ providers (OpenAI, Anthropic, Google, Groq, Mistral, DeepSeek, xAI, Cohere, Together AI, Perplexity, Azure OpenAI, AWS Bedrock, Ollama). AES-128-CBC + HMAC-SHA256 (Fernet) encryption at rest. LDAP/AD and OIDC SSO with auto-provisioning. Kubernetes-native with sub-50ms security overhead. Full air-gapped on-premise support. Prometheus + Grafana + Uptime Kuma monitoring stack.

Why Klyo

Deploy AI safely, stay compliant, control costs

Klyo gives IT and security teams the control they need while giving employees the AI access they want.

Eliminate Data Leakage

Automatically redact PII, trade secrets, and confidential data before it reaches any AI model. Enforce DLP policies across every interaction.

Instant Regulatory Compliance

Meet EU AI Act, GDPR, SOC 2, and NIST AI RMF requirements with built-in audit trails and automated compliance reporting.

Control AI Spending

Set per-user, per-team, and per-model budgets. Smart routing optimizes cost vs. quality. Real-time dashboards prevent surprise bills.

Deploy in Minutes

Cloud-hosted or on-premise. Integrate via API gateway, browser extension, or native apps. No changes to existing AI workflows required.

Market Opportunity

A massive, underserved market

The enterprise AI security and governance market is emerging rapidly with no dominant player yet.

$4.4T Global AI market by 2030

$183B Combined addressable market (TAM)

33% CAGR for Enterprise AI Platforms

Market Segmentation & Competitive Position

TAM Breakdown (2030E)

Enterprise AI Platforms: $153B (33% CAGR)
API Security & Management: $18B (20% CAGR)
Data Loss Prevention: $12B (24% CAGR)
SAM: $25B–$50B (500K+ enterprises, 500+ employees)
Combined TAM: $183B by 2030

Why Now

ChatGPT moment: 100M+ users in 2 months drove enterprise demand
EU AI Act enforcement begins 2025
Enterprise budgets shifting from experimentation to production
65% of orgs have exposed sensitive data to AI (Cyberhaven, 2024)
$4.88M average cost of a single data breach (IBM, 2024)

Competitive Moat

First-mover: no purpose-built AI security gateway exists
Network effects: plugin ecosystem grows with each customer
Data moat: anonymized threat intelligence across customers
Switching costs: deep integration into compliance workflows
Swiss trust: gold standard for data privacy & neutrality

No direct competitor exists

Capability	Klyo	API Gateways	DLP Tools	AI Platforms
AI-aware content filtering	✓	✗	~	✗
Real-time PII redaction	✓	✗	✓	✗
Intelligent LLM routing	✓	~	✗	✗
Conversation review queue	✓	✗	✗	✗
Group-based model access	✓	✗	✗	✗
Plugin ecosystem	✓	✓	✗	~
Full audit trail	✓	~	✓	~
Per-request cost tracking	✓	✗	✗	~
On-premise deployment	✓	✓	✗	✗
White-label	✓	✗	✗	✗
Purpose-built for AI	✓	✗	✗	~

FAQ

Frequently Asked Questions

Everything you need to know about securing enterprise AI with Klyo.

What is Klyo and how does it work?

How does Klyo prevent data leakage to AI models?

Which compliance standards does Klyo support?

How long does it take to deploy Klyo?

Does Klyo work with any AI model or provider?

Can Klyo be deployed on-premise?

What does Klyo Enterprise include?

How can Klyo Enterprise be deployed?

Klyo Enterprise can be deployed cloud-hosted or fully on-premise, including air-gapped environments with no external connectivity. The web chat frontend, backend gateway, security engine, compliance tools, and admin panel all come together in one deployment. Your teams use Klyo Web as their AI interface while the gateway enforces all security, compliance, and cost controls behind the scenes.

What happens if the gateway itself is compromised?

Klyo’s Premium Security Tier extends zero-trust below the application layer with kernel-level egress enforcement powered by eBPF. Even with full code execution on the gateway, an attacker cannot reach an unsanctioned LLM provider — policy is evaluated inside the Linux kernel, separate from userspace. Every allow, deny, and policy change is written to a hash-chained audit log. Available for self-hosted and bare-metal Kubernetes deployments.

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Klyo: The Enterprise AI Security Gateway

Enterprise AI is exploding — but security & governance are missing

Klyo — the missing security layer for enterprise AI

Zero-Trust AI Firewall

Full Compliance Engine

Intelligent Model Routing

Enterprise Security

Cost Intelligence & Analytics

Role-Based Access (LLM Groups)

Plugin Ecosystem

White-Label & Branding

Streaming & Local Inference

Defense in depth — at the kernel layer

Kernel-Level Egress Enforcement

Compromise-Resistant by Design

Cryptographically Verifiable Audit

Observe Mode

Enforce Mode

The complete AI platform for enterprises

Klyo Enterprise

Deploy AI safely, stay compliant, control costs

Eliminate Data Leakage

Instant Regulatory Compliance

Control AI Spending

Deploy in Minutes

A massive, underserved market

No direct competitor exists

Frequently Asked Questions

Ready to secure your enterprise AI?

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Klyo: The Enterprise
AI Security Gateway