INTELLIGENT AUTOMATION SECURITY
RPA & Agentic AI Security
Assessment
Security assessment of your intelligent automation ecosystem — RPA bots, AI agents, copilots, orchestrators, GenAI integrations, and the infrastructure they run on.
Security assessment of the full intelligent automation stack — RPA bots, AI agents, copilots, GenAI workflows, document intelligence, and agentic orchestration — across UiPath, Automation Anywhere, Blue Prism, Power Automate, and enterprise-scale deployments.
01
BOTS & AI AGENTS
Bot & AI Agent Security
Assess traditional RPA bots, autonomous AI agents, copilots, and computer-use agents.
RPA bot review — code quality, hardcoded credentials, and privilege analysis
AI agent autonomy — decision boundaries, guardrails, and human-in-the-loop controls
Copilot security — UiPath Autopilot, Power Automate Copilot, and GenAI-assisted workflows
Computer-use agents — screen interaction risks, UI manipulation, and action scope
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BOT ASSESSMENT SCOPE
Attended & Unattended RPA Bots
Traditional
Autonomous AI Agents & Digital Workers
Agentic
AI Copilots & GenAI Assistants
Copilot
Computer-Use & Screen Agents
AACU
RPA
AGENTIC AI
COPILOT
AACU
02
ORCHESTRATION & GOVERNANCE
Orchestrator & AI Trust Layer
Assess orchestration platforms, agentic orchestration layers, and AI governance controls.
Admin console & API — privilege escalation, RBAC flaws, and broken access control
Agentic orchestration — agent chaining, decision logging, and autonomy boundaries
AI Trust Layer — policy-as-code enforcement, data governance, and model access controls
Tenant Isolation — cross-tenant access and data leakage between environments
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ORCHESTRATOR RISK AREAS
Admin Console & Privilege Escalation
Critical
Agentic Orchestration & Agent Chaining
Agentic
AI Trust Layer & Policy Enforcement
Governance
Multi-Tenant & Environment Isolation
Isolation
03
SECRETS & ACCESS
Credential & Vault Security
Assess how bots acquire, store, rotate, and use credentials across built-in and external vaults.
Vault security — credential extraction, encryption weaknesses, and access control bypass
Credential lifecycle — rotation policies, stale credentials, and password sprawl
Runtime exposure — in-memory secrets, clipboard handling, and log leakage
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CREDENTIAL ATTACK SURFACE
Built-In Credential Store Security
External Vault Integration (CyberArk, HashiCorp, Azure KV)
API Key & Token Management
Credential Rotation & Lifecycle
In-Memory & Clipboard Exposure
Log & Screenshot Data Leakage
VAULT
PAM
ROTATION
ENCRYPTION
04
GENAI & DATA PROCESSING
GenAI, Document Intelligence & Data Flow
Assess GenAI integrations, document intelligence pipelines, and sensitive data handling across automated workflows.
LLM & GenAI security — prompt injection, system prompt leakage, and output manipulation
Document intelligence — IDP pipeline security, OCR data extraction, and classification bypass
Data flow & compliance — PII/PHI masking, RAG poisoning, and regulatory exposure
Process mining — sensitive process data exposure in mining and task capture tools
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WORKFLOW RISK MAPPING
Prompt Injection & LLM Manipulation
GenAI
Document Intelligence & IDP Pipelines
IDP
RAG Poisoning & Knowledge Base Integrity
RAG
Process Mining Data Exposure
Mining
GENAI
LLM
IDP
RAG
OWASP LLM
05
EXECUTION ENVIRONMENT
Runtime & Agentic Infrastructure
Assess bot runners, agent hosting, cloud-native runtime, and AI model infrastructure.
Runner hardening — OS configuration, endpoint protection, and network segmentation
Agent hosting — AI agent compute, GPU infrastructure, and model serving security
Cloud & serverless — container security, function isolation, and hybrid deployments
Session Isolation — RDP session security and multi-bot runner conflicts
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RUNTIME ASSESSMENT
Bot Runner & Agent Host Hardening
AI Model Serving & GPU Infrastructure
Container & Serverless Isolation
Endpoint Protection & EDR Coverage
Network Segmentation & Bot VLANs
CIS
HARDENING
VLAN
EDR
CONTAINER
06
INTEGRATIONS & AI MODELS
Integration, API & AI Model Security
Assess enterprise integrations, LLM/AI model connections, and third-party service access.
Enterprise connectors — over-privileged access to ERP, CRM, and core banking
LLM & AI model access — OpenAI, Azure AI, Google Gemini API key management and data leakage
API security — broken authentication, excessive data exposure, and injection
Lateral movement — pivot paths from compromised agents into enterprise infrastructure
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INTEGRATION LANDSCAPE
ERP, CRM & Core Banking Connectors
Enterprise
LLM APIs (OpenAI, Azure AI, Gemini)
AI Model
REST / SOAP / OData Endpoints
API
SaaS & Cloud Service Integrations
External
API
LLM
OPENAI
OAUTH
Ready to Secure your Automation Estate?
Share your RPA and AI automation landscape — we'll scope a tailored assessment.

Our Approach

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Overall RPA security posture

NetSentries conduct reviews to evaluate your entire RPA infrastructure focusing on Security by reviewing authentication and access control, Sensitivity of the data accessed by the bots and associated Cryptography.

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Access control and Incident Management

The NetSentries team ensures a thorough review of user roles and related permissions and segregation of privileged and least privileged accounts, used and accessed by the Automation Bots. This ensures principle of least privilege being followed throughout the process, keeping the Threat Surface to the minimum.

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Data protection and Network security

The NetSentries team conducts a meticulous examination of the data managed and processed by the Bot's processes and components. This scrutiny guarantees the presence of appropriate controls that seamlessly align with the safeguarding prerequisites stipulated by the organization's internal data classification and handling policies.

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Risk Management and Compliance

The NetSentries team conducts a comprehensive assessment of the application, employing a combination of passive techniques such as Design Review and Threat Modeling, along with active Penetration Testing. This approach evaluates the potential business ramifications stemming from identified vulnerabilities. By translating technical weaknesses into Business Risks, we offer a lucid comprehension of their impact, facilitating the prioritization and effective mitigation of risks. The assessment also takes into account the compliance requirements that the Bot should adhere to.

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RPA Security Forensic Analysis

We conduct assessments of the entire RPA environment with the intent to identify any malicious process running or any networked calls made to an asset that is not part of its operational suite, thereby identifying if the Automation solution or the Bot process is compromised via a malicious logic inbuilt or through any of the techniques malwares employ.

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RPA Penetration Testing

RPA penetrating testing includes simulation of attack scenarios specific to the bot workflow, assessment of internal and external components of RPA-hosted infrastructure, and identification of RPA application-level vulnerabilities to demonstrate what an attacker could do. As part of this, we also evaluate the organization's ability to detect malicious activity within your RPA architecture.