Agentic injection-defense policy stack
Policy layer for an agentic operating framework: user/system separation, hook-driven validation, redaction at every boundary.
SVC // 17
AI Security Systems
From real-time antivirus integration through prompt-injection defense to supply-chain attestation and runtime sandboxing — we build the security layer that AI products are usually missing.
▌▌▌ WHAT WE DELIVER ▐▐▐
DELIVERABLES
Adversaries assumed. Defenses in depth.
- // THREAT MODEL A written threat model specific to your AI surface — actors, assets, and credible attacks.
- // INJECTION DEFENSE Layered defenses against prompt injection, jailbreaks, and exfiltration via tool calls.
- // ANTIVIRUS INTEGRATION File and stream scanning hooks that participate with Windows Defender, Microsoft AMSI, or your enterprise AV.
- // SBOM & ATTESTATION Reproducible builds, signed releases, supply-chain attestation, and audit-ready evidence.
- // RUNTIME SANDBOX Capability-gated tool execution with policy enforcement and explicit allow-lists.
- // INCIDENT PLAYBOOK What to do when something gets through, written before it does.
▌▌▌ REPRESENTATIVE ENGAGEMENTS ▐▐▐
DOSSIER
Selected work — redacted.
Authorization-gated device operations
Remote shell, desktop, and file operations gated by per-action authorization, with encrypted vaults and a full audit trail.
▌▌▌ HOW WE WORK ▐▐▐
PROCESS
Threat-model. Harden. Audit.
- // 01 THREAT-MODEL Map the attack surface honestly, with named actors and concrete attack chains.
- // 02 HARDEN Implement defenses in depth — injection filters, sandbox, attestation, observability.
- // 03 AUDIT Red-team the result. Document the gaps. Plan their remediation.