Assessment
AI Security Assessments
Identify vulnerabilities, attack paths, and security gaps across your AI environment.
SECURE THE AI.
SECURE THE AGENT.
SECURE THE BUSINESS.
Secure Your AI Before Attackers Do.
Independent AI security consulting for organizations building and deploying AI in production.
Arapearly AI Security helps organizations identify and reduce security risks across AI applications, autonomous agents, MCP integrations, APIs, cloud environments, and AI supply chains.
The problem
AI Has Created a New Attack Surface
AI introduces security risks that traditional application security programs may not fully address.
Attackers can exploit AI applications through prompt injection, excessive agent permissions, insecure tool access, sensitive data exposure, vulnerable dependencies, compromised models, insecure APIs, and weaknesses in AI supply chains.
We Help Organizations Secure:
AI Applications
AI Agents
MCP Integrations
RAG Systems
LLM Applications
APIs
Cloud Infrastructure
AI Supply Chains
Services
AI Security Services
Agentic systems
AI Agent Security
Evaluate autonomous agents, permissions, tools, identities, memory, and actions.
Protocol security
MCP Security
Assess MCP servers, tools, authentication, authorization, data access, and trust boundaries.
Application security
AI Application Security
Secure LLM applications, RAG systems, APIs, prompts, data, and integrations.
Supply chain
AI Supply Chain Security
Assess models, datasets, packages, dependencies, containers, and third-party AI services.
Architecture
AI Security Architecture
Design practical security controls for AI applications and platforms.
AI Security Assessment
AI Security Assessment
Know Your AI Security Risk Before Attackers Do.
An independent assessment of your AI environment designed to identify vulnerabilities, attack paths, excessive permissions, data exposure, and security gaps.
We Assess
- AI architecture
- AI applications
- LLM integrations
- AI agents
- MCP
- RAG
- Identity and access
- APIs
- Data security
- Cloud infrastructure
- AI supply chain
- Logging and monitoring
You Receive
- Executive risk summary
- AI architecture review
- AI threat model
- Security findings
- Risk ratings
- Remediation recommendations
- 30/60/90-day roadmap
- Executive presentation
Our approach
Our Approach
Discover
Understand your AI environment, business objectives, and technology.
Map
Map applications, models, agents, APIs, data, identities, and integrations.
Threat Model
Identify realistic threats, abuse cases, and attack paths.
Assess
Evaluate security controls and identify vulnerabilities.
Prioritize
Rank findings based on risk and business impact.
Remediate
Provide practical recommendations for security and engineering teams.
Monitor
Establish ongoing AI security practices as your environment evolves.
Why Arapearly
Why Arapearly AI Security?
Application Security Expertise
AI security requires more than securing the model. We evaluate the application, APIs, identity, cloud environment, data, and software supply chain around it.
AI-Native Security
Our assessments address security risks specific to AI applications, agents, MCP, RAG, and AI-enabled workflows.
Engineering-Focused
We provide practical findings and recommendations that engineering and security teams can act on.
Executive-Ready
Technical findings are translated into clear business risks, priorities, and remediation actions.
Who we help
Who We Help
AI security designed around your organization's needs.
Arapearly AI Security helps security, technology, and engineering leaders understand AI risk and build practical security controls across their AI environment.
Security Leaders
CISOs, security architects, AppSec leaders, and security engineering teams.
Technology Leaders
CTOs, CIOs, engineering leaders, and platform teams.
AI Teams
AI/ML engineers, AI platform teams, application developers, and data teams.
Government & Regulated Organizations
Identify and reduce AI security risks across applications, infrastructure, data, identity, and supply chains.
Resources
AI Security Resources
Practical guidance for security and engineering teams building and deploying AI.
What Is AI Security?
Understand the security layer around AI applications, agents, data, and infrastructure.
AI Agent Security Explained
Explore identity, permissions, tools, memory, and autonomous actions.
MCP Security Risks
Learn how to evaluate MCP tools, access, trust boundaries, and data exposure.
AI Supply Chain Security
Understand risks across models, packages, dependencies, and third-party services.
Final CTA
Is Your AI Ready for an Attacker?
Before deploying AI into production, understand where your security gaps are and what attackers could exploit.
Request an AI Security Assessment Contact Arapearly