We build AI systems that are secure by design, run locally, and scale across industries.
From cybersecurity and compliance to voice agents, automation, and network protection.
AutoCyber AI Pty Ltd is a Sydney, Australia–based AI company specialising in secure, local-first AI for cybersecurity, compliance, and enterprise productivity. We believe the future of AI isn't in someone else's cloud - it's on your infrastructure, under your control, governed by your rules.
"Most AI vendors ask you to trust their cloud. We don't."
Everything we ship is built around four non-negotiables: security by design, local-first deployment, verifiable compliance, and full data sovereignty. Our products run on your infrastructure - no hidden telemetry, no data resale, no vendor lock-in. Offline and air-gapped deployments supported.
The first truly agentic security platform. An AI co-pilot that actively works alongside security professionals to discover vulnerabilities, analyse threats, and generate actionable intelligence. 150+ security tools orchestrated as one. Autonomous vulnerability scanning. Compliance-ready reports aligned with NIST, OWASP, and MITRE ATT&CK.
→ autocyberai.com/products/wasa-ai
Network anomaly detection and intrusion response. Local-first, real-time threat intelligence.
→ autocyberai.com/products/nad-ai
AI-powered productivity and automation for security-conscious teams.
→ autocyberai.com/products/spark-ai
Cybersecurity made simple. No IT expertise required. Enterprise-level protection in plain language - one-click fixes, virtual security team for non-technical users.
→ autocyberai.com/products/secure-easy
Automated EU AI Act, ISO 42001, GDPR, and NIST AI RMF compliance. Change one URL - every LLM call is automatically PII-scanned, risk-classified, and written to a tamper-evident audit trail. Generate FRIA, DPIA, and Technical Documentation from live protocol data - not questionnaires. Bring your own LLM key.
GitHub Action for AI governance scanning. Finds ungoverned AI calls in your codebase, shows exactly what safety headers are missing, and links every finding to CRP Comply for remediation.
Managed hosted AI safety infrastructure. One endpoint change. All 58 safety headers. LLM key vault. Automatic compliance feed. Provider failover.
→ crprotocol.io/products/gateway
AutoCyber AI is the author and maintainer of Context Relay Protocol™ (CRP) v3.0 - an open HTTP-header standard for AI safety, context governance, and compliance evidence. CRP is the technical foundation that all of our AI governance products are built on.
┌────────────────────────────────────────────────────┐
│ A2A - Agent-to-Agent Communication │
├────────────────────────────────────────────────────┤
│ MCP - Model Context Protocol (Tools) │
├────────────────────────────────────────────────────┤
│ CRP - Context Relay Protocol ◀ AutoCyber AI │
│ Context · Safety · Compliance · Provenance │
└────────────────────────────────────────────────────┘
MCP gives agents tools. A2A lets agents communicate. CRP governs every underlying AI call - with verifiable safety signals, cryptographic provenance, and automated compliance evidence on every response.
One endpoint change. Zero application code changes. Full governance.
# Before - ungoverned OpenAI call
from openai import OpenAI
client = OpenAI(api_key="sk-...")
# After - full CRP governance, same SDK
from openai import OpenAI
client = OpenAI(
api_key="crp_gw_...",
base_url="https://gateway.crprotocol.io/v1"
)
# Every response now carries 58 CRP safety headers.
# Comply receives the audit event automatically.
# Safety Policy enforced at the gateway layer.Or use the SDK directly:
pip install crprotocol[full]import crp
client = crp.Client(model="gpt-4o-mini")
client.ingest("Your domain knowledge here...")
output, report = client.dispatch(
system_prompt="You are a senior analyst.",
task_input="Write a comprehensive compliance report.",
)
print(f"Words: {len(output.split()):,}") # 6,993 vs 592 without CRP
print(f"Quality: {report.quality_tier}") # A
print(f"Risk: {report.hallucination_risk}") # LOW
print(f"HMAC: {report.hmac[:16]}…") # sha256:4fa8e921…| Metric | Result |
|---|---|
| Content output vs baseline | 11.8× more |
| Safety headers per response | 58 |
| EU AI Act controls covered | 33 / 35 |
| DPE pipeline overhead | < 50 ms |
| Throughput loss | 0% (4.9 words/sec) |
| Tests passing | 1,537 |
| IETF Internet-Drafts | 3 submitted |
HTTP/1.1 200 OK
CRP-Safety-Hallucination-Risk: LOW
CRP-Safety-Hallucination-Score: 0.14
CRP-Safety-Attribution: CONTEXT_GROUNDED
CRP-Safety-Grounding-Pct: 0.912
CRP-Provenance-HMAC: sha256:4fa8e921abcd...
CRP-Provenance-Chain-Integrity: VALID
CRP-Compliance-EU-AI-Act: LIMITED
CRP-Compliance-GDPR-PII: false
CRP-Compliance-Audit-Trail-URI: https://comply.crprotocol.io/t/7fa3bc
CRP-Compliance-Controls-Met: 33/35
CRP-Context-Quality-Tier: A
CRP-Context-Saturation: 0.994
CRP-Agent-Safety-Budget: 0.78
CRP-Context-Protocol-Version: 3.0.0Every header is readable by any proxy, WAF, SIEM, or middleware in the stack - no SDK required to act on them.
| Framework | Coverage |
|---|---|
| EU AI Act (Regulation 2024/1689) | 33 / 35 controls · enforcement Aug 2026 |
| GDPR (Regulation 2016/679) | Art. 5, 17, 22, 25, 32, 35, 44 |
| ISO/IEC 42001:2023 | AI Management Systems - Annex A controls |
| NIST AI RMF 1.0 | GOVERN, MAP, MEASURE, MANAGE |
| SOC 2 Type II | CC6, CC7, CC8, CC9 |
| Australian AI Ethics Framework | All 8 principles |
Three Internet-Drafts submitted to the IETF for standardisation:
| Draft | Scope |
|---|---|
draft-vidiniotis-crp-core |
Core protocol, axioms, architecture, conformance |
draft-vidiniotis-crp-headers |
58 HTTP header field definitions (ABNF grammar) |
draft-vidiniotis-crp-spec-006-safety-policy |
Safety Policy directive language |
IANA - HTTP Field Name registry registration in progress. Designated expert confirmed: "Publication on the Independent Stream is sufficient." Independent Submission to ISE (Eliot Lear) in progress.
IEEE SA - PAR (Project Authorisation Request) in preparation, targeting the AIS (Autonomous and Intelligent Systems) committee.
ISO/IEC JTC 1/SC 42 - New Work Item in preparation via Standards Australia, as companion standard to ISO 42001.
→ Full standards track → 17 formal specification documents
| The Cloud AI Approach | The AutoCyber AI Approach |
|---|---|
| Data sent to external servers | Data stays on your infrastructure |
| Privacy concerns | Privacy by design |
| Unpredictable costs | Predictable, controlled costs |
| Vendor lock-in | Full ownership |
| Black-box compliance | Verifiable, auditable controls |
| Offline: ✗ | Air-gapped deployment: ✓ |
We're built for environments where failure isn't an option - enterprises, regulated organisations, government, critical infrastructure, healthcare, and defence.
We align everything we ship with:
- ISO/IEC 27001:2022 - Information Security Management
- ISO/IEC 42001:2023 - AI Management Systems
- EU AI Act (Regulation 2024/1689)
- NIST AI RMF 1.0
- OWASP Top 10 (2025)
- Australian Privacy Principles
| 🌐 Company | autocyberai.com |
| 🔬 CRP Protocol | crprotocol.io |
| ⚖️ CRP Comply | comply.crprotocol.io |
| 📦 PyPI | pip install crprotocol |
| linkedin.com/company/autocyberai | |
| 🐦 X / Twitter | @autocyberai |
| 📧 General | contact@autocyberai.com |
| 🔐 Security | security@autocyberai.com |
| 🤝 AI Governance | ai-governance@autocyberai.com |
| 📡 Standards | standards@crprotocol.io |
AutoCyber AI Pty Ltd · ABN 22 697 087 166 · Sydney, Australia
Founded by Constantinos Vidiniotis
"Context Relay Protocol", "CRP", "CRP Comply", "CRP Gateway", "CRP Scan", and "CRP Visualise" are trademarks of Constantinos Vidiniotis / AutoCyber AI Pty Ltd.
© 2025–2026 AutoCyber AI Pty Ltd · All rights reserved.