Enterprise AI Security,
Governed Outcomes.
Autonomous AI agents cannot operate as unsecured black boxes. At steffi.ai, security is built into the systems engineering layers. Our Rust compiled core ensures memory safety and complete execution auditing, conforming to SOC 2 and ISO-27001 readiness standards.
Model-Level Decoupling
The language model operates purely as a decision brain inside the agent. It is completely decoupled from the system environment. The Rust runtime acts as the sole gatekeeper, validating and compiling all actions before execution.
No Plaintext Credentials
Raw credentials never enter the context window of public LLMs. We leverage referenced vault binds, so the AI knows how to use a service key via placeholder tags, but can never output the actual key strings.
Active Prompt Defense
Using a 6-layer guardrail framework, every inbound signal and output payload is audited. Any attempt at prompt injection, direct instruction override, or system role hijacking triggers an immediate task freeze.
6 Core Governance Safeguards
Steffi implements strict architectural boundary lines to ensure digital workers operate as safely as human employees.
6-Layer Prompt Guardrails
Our proprietary inbound parser checks user prompts for injection patterns, role-hijacking requests, and instruction overrides before passing them to the reasoning agent.
Key Safeguards
- Token-level injection scanning
- Instruction integrity verification
- System context separation rules
- Dynamic guardrail updates
Encrypted Credential Vault
API keys, database passwords, and login sessions are encrypted at rest. Agents query the vault using reference labels, ensuring models never see plaintext secrets in their prompt memory.
Key Safeguards
- AES-256-GCM hardware key encryption
- Reference-only variable binding
- Automated token rotation
- Zero-trust keystore isolation
Antivirus File & Package Scans
All document attachments and third-party code packages are scanned before agents interact with them. Malicious files are quarantined immediately in sandbox runs.
Key Safeguards
- Static binary signature scans
- Sandbox package execution analysis
- Real-time quarantine protocols
- Automated file hash matching
Identity-Bound RBAC
Permissions are tied directly to user and agent identities. Workspaces can only read, write, or call APIs authorized by strict role-based access control policies.
Key Safeguards
- Workspace-level isolation boundaries
- Cryptographic identity binding
- Multi-tenant data partitioning
- Access request approval trees
Chain-Hashed Audit Trail
Every single model decision, API call, shell execution, and state change is logged in a sequential database where logs are chain-hashed to prevent retro-active modification.
Key Safeguards
- SHA-256 block-based hashes
- Immutable append-only write paths
- Prometheus telemetry rollup
- One-click manual lockdown triggers
Capability-Gated UDS Sandboxing
When agents execute Node or Python scripts, they are confined to lightweight Docker sandboxes. System calls and external network access are gated by strict gRPC rules.
Key Safeguards
- Unix Domain Socket (UDS) gRPC gateway
- Denied-by-default network policies
- CPU and memory process limit thresholds
- Isolated directory mounts
Ready for Compliance Audits
Steffi was designed from day one to operate inside security-conscious organizations. All execution components align directly with the **Trust Services Criteria** for Security, Confidentiality, and Processing Integrity.
Because Steffi compiles to a single native binary, enterprise teams can choose to self-host the entire agent orchestrator inside their own secure VPC environment. No telemetry, customer data, or task secrets are ever sent to Olib AI servers.
In addition, our chain-hashed logs simplify audits by providing a tamper-evident, timeline-accurate trail of every single shell invocation, email sent, or CRM update performed by your digital agents.
Compliance & Encryption Specifications
| Parameter | Specification Standard |
|---|---|
| Data Encryption | AES-256-GCM at rest, TLS 1.3 in transit |
| Credential Vault | Hardware Security Module (HSM) compatible keystores |
| Sandboxing Isolation | Linux cgroups/Docker container layers & UDS gRPC |
| Malware Protection | Real-time ClamAV static scanner API integration |
| Audit Log Schema | Chain-hashed SHA-256 blocks with immutable SQLite backend |
| Deployment Mode | On-premise / Self-hosted VPC or Secure SaaS cluster |
Need a Security Review?
Request our technical security whitepaper and architectural design sheets. We partner with compliance officers to deploy Steffi AI agents in highly restricted enterprise environments.