AI SOVEREIGNTY FOR REGULATED INDUSTRIES
THE PROBLEM
INCIDENT TIMELINE — MARCH 2026
Mar 19
Trivy security scanner compromised via GitHub Action tag hijack
Mar 23
Checkmarx KICS GitHub Actions compromised using Trivy-exfiltrated credentials
Mar 24
LiteLLM v1.82.7 & v1.82.8 published to PyPI with credential-stealing malware
Mar 24
Entire LiteLLM package quarantined. 95M monthly downloads affected.
OUR SOLUTIONS
Our on-premise AI firewall + control plane that enforces policy, optimizes cost, and proves ROI.
user@smartflow
:
~/config
$
smartflow deploy --mode production
✓ Validating configuration...
✓ Connecting to gateway cluster...
→
Providers detected:
• OpenAI GPT-4
(active)
• Anthropic Claude 3.5
(active)
• Google Gemini Pro
(standby)
✓ Cache layer initialized (Redis cluster)
✓ Policy rules loaded: 12 active
→
Routing configuration:
model_routing:
gpt-4:
70%
claude-3.5:
30%
cache_strategy:
ttl:
3600s
hit_rate_target:
85%
✓ Deployment successful! Gateway live at gateway.internal:8443
user@smartflow
:
~/config
$
terminal — smartflow-config
Unified AI provider access
Real-time compliance filtering
Granular usage tracking

95% cache hit rates
4x performance improvement
Intelligent routing

HIPAA/SOX/SEC/GDPR support
Custom blacklist/whitelist
Complete audit trail
CAPABILITIES
On-Premises Deployment
Runs in your data center or private cloud. No cloud dependency. No PyPI supply chain risk. No third-party data exposure.
Identity-Aware Governance
Every AI interaction authenticated against your enterprise IdP. Entra ID, LDAP, SAML, OIDC. Per-user audit trails tied to real identities.
Inline Policy Enforcement
No-code compliance engine. Policies enforced before prompts reach any model. EU AI Act, NIST AI RMF, FINRA, HIPAA mapping.
Semantic Caching at p95
Four-phase BERT semantic cache. 55–75% hit rates. Published benchmarks from NVIDIA GTC 2026. Not marketing claims.
MCP Proxy Governance
Inline governance for agent-to-agent workflows. As agentic AI proliferates, MCP servers are the new attack surface. SmartFlow governs them.
Sub-5ms Overhead
Rust-based infrastructure. Not a Python library adding 20–80ms per request. Infrastructure-grade performance for production workloads.
Provider Agnostic
Provider Agnostic
Get your AI Enterprise Ready. Be one of the first to try Smartflow, get compliant AI and gain 50-80% token efficiency.











