The problem
AI Creates a New Attack Surface
Traditional security controls do not fully address prompt injection, agent abuse, excessive permissions, data leakage, RAG attacks, model risks, MCP vulnerabilities, or AI supply-chain threats.
Secure the AI. Secure the Agent. Secure the Business.
Secure Your AI Before Attackers Do.
AI applications and autonomous agents introduce a new security layer beyond traditional application security. Arapearly AI Security helps organizations reduce risk across LLM applications, agents, MCP integrations, APIs, cloud environments, and AI supply chains.
Enterprise focused
Technical and executive friendly
Consulting first, SaaS ready later
AI
Agent
LLM
MCP
RAG
Security
AI architecture, agent permissions, model supply chain, and data exposure all need coordinated controls.
Primary conversion
Request an AI Security Assessment
The assessment is the core offer. It identifies realistic attack paths, documents findings, and provides a prioritized roadmap for remediation and operational hardening.
People at work
Built for teams shipping real systems
Use credible, modern imagery of people collaborating, reviewing architecture, and making technical decisions.
Leadership reviews
Show executives and security leaders discussing risk and priorities.
Engineering collaboration
Use images that feel technical, calm, and enterprise-focused.
Day-to-day work
Keep the visuals human without drifting into cliché stock imagery.
Services
Advisory services that map directly to AI risk
Each service is designed to be understandable by leadership while still useful to engineering teams.
Flagship service
Know Your AI Security Risk Before Attackers Do.
The Arapearly AI Security Assessment evaluates AI governance, architecture, identity and access, application security, agent security, MCP security, AI supply chain, and monitoring response.
- Executive assessment and presentation
- Threat model and evidence-based findings
- Risk ratings and remediation recommendations
- 30/60/90-day roadmap
Who it is for
Built for organizations deploying AI into production
We speak to CISOs, CIOs, CTOs, security architects, AppSec teams, AI/ML engineering teams, SaaS companies, healthcare technology, FinTech, government contractors, and cloud companies.
CISOsCTOsAppSecAI/MLFinTechHealthcare
Approach
Structured, practical, and defensible
- Discover the business and AI environment.
- Map architecture, data flows, and trust boundaries.
- Threat model realistic attack paths.
- Assess controls and targeted testing.
- Prioritize by risk and business impact.
- Remediate with a practical roadmap.
- Monitor and improve continuously.
Resources
SEO-friendly content that builds credibility
Start with practical articles and downloadable checklists covering AI security, agent security, MCP risks, prompt injection, AI supply chain security, and securing RAG systems.
Explore Resources