Runtime Execution Security for Autonomous AI Agents

OS Kernel Sandboxing

Restricting stdio-based tool execution at the operating system boundary. Native Apple Seatbelt and Linux Landlock/seccomp profiles isolate agent tools from host filesystems, secrets, and outbound network sockets.

• ⚡ Sub-50ms process jailing
• 🚫 Blocks prompt-injection tool escalation
• 📦 Per-tool filesystem namespace isolation

Cryptographic Execution Proofs

Verifiable runtime evidence chains via the VERA Protocol. Every model decision, tool call, and state transition produces an Ed25519-signed proof record that auditors inspect independently without seeing proprietary weights.

• 🔗 Tamper-evident hash-chained logs
• ✍️ Ed25519 signature per tool execution
• 📋 SOC 2 Type II and regulatory export

Article 14 Human Oversight Gates

Hardware-attested execution gates and multisig approval thresholds for high-stakes agent actions. Intercepts irreversible financial transactions, database mutations, or infrastructure alterations before execution commits.

• 🛑 Automated policy threshold halts
• 🔑 Multi-signatory approval workflows
• 🏛️ Strict EU AI Act Article 14 compliance

Agent Attack-Surface Review

A targeted technical audit of your agent's Model Context Protocol (MCP) tool exposure, prompt-injection attack vectors, environment leakage, and file descriptor boundaries.

• 🔍 Full threat model and attack tree
• 💥 Proof-of-concept exploit demonstrations
• 🛡️ Custom AegisMCP syscall sandboxing profile
• 📄 Executive attestation brief for enterprise CISOs

Runtime Control Pilot

Hands-on implementation of kernel-level sandboxing, Article 14 approval gates, and Ed25519 execution proofs directly within your agent deployment infrastructure.

• ⚙️ Production Aegis sidecar deployment on host or K8s
• 🔐 Custom tool access policies and multisig triggers
• 📜 VERA cryptographic proof pipeline and dashboard integration
• 🤝 Architecture pairing sessions and direct handover with Yami

Securing stdio: The Hidden Security Threat in MCP

Most MCP integrations communicate over stdio, bypassing corporate network gateways. Here is how we contained prompt-injection exfiltration at the syscall level using Rust.

Domain-Driven Design for Multi-Agent Swarms

Applying Domain-Driven Design and Hexagonal Architecture to build decoupled agent swarms that maintain deterministic state without corruption.

Improving Quality with a Tiered Model Ladder

Orchestrating model capability tiers for cost and latency optimization. Heavy reasoning models frame the problem; lightweight models execute.