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API · MCP · Gateway · AI — correlated on one plane

Each signal looks harmless. Together they're one AI attack.

A runtime security layer for AI apps — API, MCP, gateway, and model-output checks on one request plane, running inside your own VPC.

Not a human at a keyboard — an AI agent running a multi-stage campaign: a recon probe, a fuzzing burst, a prompt injection, a poisoned tool. Each move rides below the single-pattern alarms. Our Cross-Pillar Correlation Engine scores the co-occurrence — low alone, lethal when they line up — and blocks it in ~7ms, before a token leaves your VPC.

Every tool blocks the single-pattern attack. We block those too — then correlate the coordinated AI campaign point tools never see.

Your keys (BYOK)·Your data·Your VPC·0 bytes egress by design
  • 90-day free trial
  • No credit card
  • Deploys via Helm or Terraform
Cross-Pillar Correlation Engine
Coordinated attack correlated
Coordinated attack — 3 signals, 1 incident
185.220.101.34auto-blocked · 7ms
GATEWAY security
Token limit exceeded — cost protection
185.220.101.34$58.00 saved✓ blocked · 12:04:07
MCP security
Prompt injection in tool call blocked
45.155.204.9✓ blocked · 12:04:05
API security
Broken-object-level auth probe
103.75.190.11✓ blocked · 12:04:03
GATEWAY security
JWT signature mismatch rejected
91.240.118.4✓ blocked · 12:04:01
Built for compliance
SOC 2
HIPAA
PCI-DSS
GDPR
FedRAMP
ISO 27001
NIST CSF
EU AI Act

Measured on held-out data · reproducible from committed tests — not marketing claims

0.000
Held-out detection recall
on attacks the model never trained on
0/8
Real 2025 MCP CVEs blocked
MCPoison · CurXecute, in replay tests
0/25
SSRF checks, mutation-tested
incl. DNS-rebinding defense
~0ms
Median detection latency
deterministic · $0 per token
0
Bytes leave your VPC
detection runs in your network
0/14
Encryption checks, mutation-tested
AES-256-GCM at rest · PBKDF2-600k
One platform, four enforcement points

Four doors an
AI attack tries.
One platform
at all of them.

AI lets one attacker hit all four surfaces at once, as a single adaptive campaign. Four checkpoints on the same request — sharing one correlation plane — is what turns four unrelated alerts back into one attack.

One Request · Four Checkpoints · One Correlation Plane
Inbound Request API Security MCP Security
AI Gateway Verification Engine Signed Response Returned
correlation_id ="a3f2-bee4-...-9c01" (shared across all four)
One platform, not four
Four checkpoints on the same request, sharing one correlation plane — not four products bolted together.
Every door covered
An AI attack tries four doors. One platform stands at all of them, tracing each attempt end-to-end.
Proof, not adjectives

Watch three vectors collapse into one blocked incident.

Deterministic detection — regex plus classical ML, no LLM-as-judge — so it's reproducible, costs nothing per token, and runs air-gapped inside your environment.

Deterministic
$0 / token
Air-gapped
0ms
Median detection
Faster than a single keystroke — inline, not batch.
0
Labeled attack samples
Real-world red-team corpus the detectors train on.
0+
API endpoints protected
Across the platform, booting clean on every deploy.
0
Bytes leave your VPC
Detection runs in your network. No data egress.
correlation-engine · live tail
illustrative
12:04:07.001[MCP]tool 'read_file' definition changed after approval — rug-pull
12:04:07.44[API]object-level auth bypass on GET /orders/{id} — BOLA
12:04:07.83[GATEWAY]prompt-injection via homoglyph evasion on /v1/chat
12:04:08.02[CORRELATE]src 203.0.113.44 · 3 vectors · 1.2s window · same actor
12:04:08.02[VERDICT]coordinated attack → BLOCKED across MCP + API + Gateway (7ms)
Attack neutralized — 0 tokens reached the model
Replace your legacy gateway

$399 a month — not $20,000 a year — and it actually understands AI traffic.

Built in
Your VPC
Minutes

One platform vs. a legacy gateway

Price
G8KEPR
$399 / month
Kong / Apigee
$20,000+ / year
AI + LLM threat detection
G8KEPR
Built in
Kong / Apigee
Add-on or none
MCP tool security
G8KEPR
Deterministic rug-pull detection
Kong / Apigee
Not offered
Cross-pillar correlation
G8KEPR
Every request
Kong / Apigee
None
Runs in your VPC (zero egress)
G8KEPR
Yes — self-hostable
Kong / Apigee
Cloud-tied
Time to first blocked attack
G8KEPR
Minutes
Kong / Apigee
Weeks of integration

Founder pricing. Lock it in before public launch.

See pricing
Where it sits in your stack

In your cloud, in-path, in three steps.

Not a dashboard beside your traffic — an enforcement layer inside it. Deployed in your own VPC, so your keys and data never leave.

01

Point traffic through G8KEPR

Drop it in as a gateway or sidecar — installed with Helm or Terraform, running alongside Kong or Apigee. No application rewrite.

02

It inspects in-path, inside your VPC

Every API call, MCP tool call, and model response is checked in the request path — inside your own network. 0 bytes leave your VPC.

03

It correlates all four pillars and blocks

Signals from API, MCP, gateway, and verification collapse into one incident and get blocked — in ~7ms, before a token ever returns.

Zero-risk evaluation

The security tool that never sees your data.

Detection runs inside your network, on your infrastructure, on your terms. Try it in production without handing anyone your traffic.

Zero data egress by design
Cancel anytime
Helm + Terraform + Patroni HA
Classical-ML, not an LLM judge

Nothing to lose to try it

Four guarantees that make evaluating G8KEPR genuinely risk-free.

Runs in your VPC
Prompts, responses, and secrets never touch our servers. Zero data egress by design.
No credit card to start
30 days, the full platform, cancel anytime. Nothing to expense just to try it.
Self-host or managed
Helm charts, a Terraform provider, and Patroni HA ship with it. Run it your way.
$0 per token
Classical-ML detection, not an LLM judge — no metered inference bill as you scale.
The questions a skeptical buyer asks

Straight answers.

Founder pricing, full platform
Correlates where a WAF is blind
Data never leaves your VPC
First block in minutes
Deterministic, air-gappable

It’s founder pricing, locked in before public launch — not a lighter product. You get the same platform running in production today: the detection cascade, MCP security, the gateway, and the verification engine. You’re early, not buying less.

Your WAF inspects HTTP payloads. It can’t see an MCP tool-poisoning attempt, a prompt-injection evasion, or the fact that those and a BOLA probe are the same actor in the same window. G8KEPR correlates across all of them — your WAF is one of the fragments it ties together.

Nowhere. Detection runs inside your VPC — prompts, responses, and secrets never leave your network. It’s self-hostable with Helm and Terraform, and the core detectors make zero calls to any hosted LLM, so there’s no egress and no per-token bill.

You don’t have to rip anything out on day one. Run G8KEPR as your gateway or alongside your existing one, point traffic through it, and you’ll see the first blocked attack in minutes — not a quarter-long integration.

No. The detection path is deterministic regex plus classical ML — no LLM-as-judge — so it’s reproducible, runs in ~7ms, costs $0 per token, and works fully air-gapped. The trained models and threat corpus are the IP, not a third-party API.

Your point solutions are watching three doors. Close all of them with one platform.

Stand up cross-pillar AI security in your own VPC and watch a coordinated attack getblocked before a token reaches your model.

MCP tools
Tool-call interception
LLM traffic
Provider-level inspection
API gateway
Request / response guarding
One cross-pillar platform
One correlation ID end-to-end
Deploys inside your VPC
Tamper-evident hash-chain audit
  • 90-day free trial
  • No credit card
  • Deploys in your VPC
  • Cancel anytime