K Kilasec
Free · 5 devices Start free
Guardrails for AI agents

Guardrails and spend control for AI agents.

See what every agent calls, cap runaway costs, and hold risky actions for a human — before the bill or the damage lands. Kilasec also masks secrets and PII before they leave, surfaces AI services nobody registered, and scans the replies coming back. No SDK to wire into your agents.

$One collector container on hardware you own, plus the K app on each device — pushed through your MDM. Only AI traffic is routed; everything else goes direct.
How it works

Every AI call passes a checkpoint you own.

No SDK to wire into your agents, no sidecar, no rewrite. The K app on each device hands AI traffic to your collector, the collector decides in-line, and your console sees the decision — not the content.

01 · Route

The K app sends AI calls to your collector

Only requests to model APIs are routed. Banking, email and the rest of the web go direct and never touch Kilasec.

02 · Decide

Your collector inspects and decides

It decrypts the call and applies your policy — allow, mask, block, hold for a human, or cap spend — then scans the reply on the way back. It runs on hardware you own.

03 · Record

The console gets the decision, not the content

Verdict, rule, destination, user and cost reach the cloud with redaction already applied. Prompts and replies stay on your network.

Discover

See every AI call

Decrypted inspection of OpenAI, Anthropic, Copilot, Gemini, Bedrock, Ollama and 30+ endpoints — classified on the fly, including ones not yet named.

Redact

Catch it at the wire

Secrets, credentials, customer PII and card numbers are masked before they cross the wire — even deep inside a long, oversized coding-agent conversation — and model replies are checked on the way back — reverse shells and dangerous commands caught, suggested package installs flagged for a human.

Attribute

Real identity

Map each request to a user and directory group — synced from AD by the collector itself, with agentless identity mapping from your domain controllers, or from CSV. Write allow group:eng → api.anthropic.com.

Prove

Audit-grade history

Every admin change and blocked request, kept up to 7 years on paid plans (30 days on Free). Export for SOC 2, HIPAA, or your own change control. Admins sign in with SSO on DNS-verified domains, and every signed-in session can be seen and cut off.

Deployment

One app per device. One container on your network.

Built for the admin who has to live with it. No application changes, no SDK in your agents, no new box to rack — the enforcement point runs on hardware you already own.

01

The K app routes only AI traffic

Kilasec Connect sends in-scope AI calls to your collector and leaves everything else direct, untouched. Push it zero-touch through your MDM on macOS; on Windows it installs with enrollment and updates itself from signed releases. The same policies follow people off-network.

02

One collector, locked down

Runs read-only, non-root, --cap-drop=ALL, no-new-privileges, on amd64 or arm64. Keeps enforcing if the cloud blips, and request bodies are never written to disk.

03

Troubleshoot without a ticket

Every failure carries an AFW-### code with its fix attached — on the console's Health page and in the on-box kilasec CLI. Or connect Claude to the console's MCP server.

Deployment guide →

docker-compose.yml
# the entire deployment — one service
services:
  collector:
    image: ghcr.io/blox-24/kilasec-collector:latest
    network_mode: host       # sees the edge
    read_only: true
    cap_drop: [ALL]
    security_opt: ["no-new-privileges"]
    ulimits:
      nofile: 65536
    env_file: .env          # token from enrollment
    restart: unless-stopped

# bring it up
$ docker compose up -d
# … and to remove it entirely
$ docker compose down
Watch it work

Every AI call gets a verdict at the wire.

Secrets and PII masked, destructive and shadow-AI calls blocked, runaway spend capped, the risky ones held for a human. Tap a control — or watch them cycle.

Illustrative replay of real policy decisions.

ChatGPT → chatgpt.com LIVE
What your team typed
Kilasec · decides at the wire
What the provider actually received
What it catches

What Kilasec stops

The exact event patterns Kilasec's policy engine detects and acts on — the everyday ways sensitive data, shadow AI, and runaway cost leave a network through model APIs, and the ways trouble rides back in on the replies.

Secret leakevt·a1f9

AWS credentials pasted into ChatGPT

An engineer asked for help debugging a script with a hardcoded access key and secret. Both would have left the network in the prompt body.

Blocked at the proxy, before TLS re-encrypt to OpenAI
PII redactionevt·b7c2

Customer SSNs sent to a support agent

A support team's AI agent received raw transcripts containing SSNs and card numbers. None of it should have reached the provider.

Replaced with placeholders inline, originals kept on-prem
Cost runawayevt·d5a1

Eval loop burned $300 in 18 minutes

A misconfigured QA agent kept re-running evals on a frontier model. At that rate, tens of thousands by morning.

Held for approval at $50, surfaced in the dashboard queue
Poisoned replyevt·e2c7

Reverse shell smuggled into a model reply

A coding agent asked for an install script. The reply came back with a download-and-exec one-liner and a typosquatted package name — threats that travel toward your network, not out of it.

Detected response-side, flagged on AI Threats with the exact reply on record
Try it first

See it before you install anything.

vs the alternatives

Why the network layer wins

Capability
Kilasec
SDK / gateway
Covers agents with no code change
✓ inherent
✕ must integrate
Catches browser & desktop paste-ins
✓
✕
Discovers unknown providers
✓ on first call
✕
Redacts before data leaves the network
✓ at the edge
~ in-app
Scans model replies (response-side threats)
✓ both directions
✕ request-only
Real user + AD-group identity
✓
~ token-scoped
No per-app integration
✓ one app per device
✕ per app
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