AI-Agent Security & Governance
As Indian companies adopt generative AI tools, internal LLM agents, and automated workflows, new security blindspots emerge: unauthorized data exposure, autonomous tool execution without human approval, and missing audit trails. CyberSanket provides structured architecture reviews and security guardrails for safe AI automation.
Who This Is For
- Teams deploying LLM agents, AI coding tools, or automated workflow connectors
- Compliance-conscious businesses seeking sensible AI usage policies for employees
Problems Addressed
- Employees pasting confidential client data, source code, or financial records into public AI models
- AI agents granted excessive system access or unvetted API tokens
- Absence of human-in-the-loop approval gates for destructive database actions
- No logging of AI agent prompts, completions, and external tool calls
Scope & Tangible Deliverables
What your team receives upon completion of this review.
Engagement Roadmap
AI Asset Inventory
Document all AI tools, models, APIs, and plugins currently utilized across teams.
Data Boundary Mapping
Identify where sensitive business data intersects with AI model inputs and outputs.
Guardrails Blueprint
Formulate practical approval boundaries, permission limits, and logging practices.
Scope Boundaries & Dependencies
Honest, transparent exclusions to prevent misunderstandings.
- This is a technical architecture, tool permission boundary, and data hygiene review.
- Does not constitute statutory legal compliance advice or formal AI regulatory certification.
Service FAQs
Request a Consultation
Speak with a technical consultant about scoping your ai-agent security & governance. We respond within 1 to 2 business days.
Book an AI Security Review