AI Security & Auditing
Adversarial agent evaluation, prompt injection defense, and tool sandboxing.
Comprehensive security penetration testing and runtime guardrails for AI agents and LLM applications. We evaluate systems against prompt injections, unauthorized tool execution, cross-tenant data leakage, and unsafe side-effects before deployment.
Hardening autonomous AI agents against unauthorized actions and data leakage.
Engineered with production-grade isolation, deterministic reliability, and seamless integration across the XIK infrastructure ecosystem.
Core Capabilities
4 Functional ModulesAdversarial Prompt Pentesting
Automated injection scans, jailbreak attempts, and system prompt extraction diagnostics.
Tool & MCP Execution Sandboxing
Strict authorization checks, permission boundaries, and execution cancellation gates for agent tools.
Telemetry-Based Side-Effect Audits
Detects unsafe database writes or external API calls despite safe-looking natural language responses.
Compliance & Audit Deliverables
Machine-readable security evidence with SARIF reporting, risk matrices, and remediation roadmaps.
Technical Specifications
- Identifier
- ai-security-audit
- System Stack
- Python Security Framework, Playwright, Temporal Workflows, SARIF Reporting Engine
- Runtime Architecture
- Sandboxed Ephemeral Containers
- Deployment Model
- Private Client Network / Secure Runner
- Supported Interfaces
- HTTP/2MCP ProtocolSARIF / JUnitCI/CD Actions