Organizations are rapidly adopting AI technologies, but many deployments outpace the security processes needed to manage them safely. Traditional application security programs often do not address AI-specific risks such as autonomous agents, MCP servers, prompt injection, indirect prompt injection, AI-generated code, model governance, or external knowledge sources.
Our AI Process, Strategy & Audit service helps organizations build/assess their AI implementation strategy, governance, operational processes, and develop enterprise controls. We provide niche guideline catered to the need of the organization in the AI space based on implementation requirements, budget, business need keeping security as the core focus. Below are some fundamental questions that help review the same.
Are you adopting AI across your enterprise but unsure whether the right security processes are in place?
Are business teams deploying AI agents without a formal security review process?
Are you introducing MCP servers? Have you considered securing them with an MCP Gateway?
Are your AI agents consuming data from external websites, APIs, or third-party knowledge sources? What happens if those sources become malicious?
Are you rolling out a vibe-coding platform across your enterprise? Is your AI-generated code secure enough to meet organization development security standard?
Have you defined a secure approval process before AI agents are deployed into production?
Are AI prompts, system instructions, tools, connectors, and workflows reviewed before deployment?
Do you know which teams are responsible for securing AI applications, AI agents, MCP servers, RAG implementations, and LLM integrations?
Have you implemented enterprise guardrails to control which models, connectors, tools, and AI capabilities can be used?
Are AI product upgrades introducing new capabilities, connectors, or permissions without security review?
Do you know which AI applications are allowed to execute code, access enterprise APIs, or interact with internal systems?
Have you adopted an AI Secure Development Standard such as AISVS for developing and reviewing AI applications?
Are you using AI to perform secure code reviews? Can you trust the findings without human validation? Is AI SAST finding all vulnerabilities?
Are your developers using public AI coding assistants without enterprise security controls?
Does your non-production AI implementation have access to production data?
Whether your organization is implementing AI assistants, autonomous agents, RAG applications, MCP servers, AI coding platforms, or enterprise AI governance, our assessment helps establish the right security processes before AI adoption scales further.