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AI Security Services

AI Security Solutions for Every Phase of Your AI Journey

Talk to an AI Security Expert

AI Is Moving Fast, and So Are the Risks

 

Whether you’re building GenAI apps, deploying LLMs, or integrating AI into business-critical workflows, we provide AI security solutions that help you move forward confidently with security at the core.

When AI Moves Forward Without Security

Without the right AI security solution, you face new risks to sensitive data, systems, and user trust.

Sensitive data leaked through prompts, logs, or training sets

AI threats like prompt injection & model poisoning going undetected

Unintended, unethical, or unsafe use of your AI systems

Increased attack surfaces with LLMs

Our AI Security Services

Data Protection Services

We protect your data throughout its full lifecycle, from discovery and defining strategy to implementing security controls and validating their effectiveness.

Explore Data Protection Services

Managed Detection & Response for AI

Our 24/7 SOC monitors your AI systems and their critical dependencies to keep your data secure and operations uninterrupted.

Explore MDR Services

Microsoft Zero Trust Assessments

We assess your Microsoft Cloud security posture, identify gaps, and provide a clear strategy to advance your Zero Trust journey.

Explore Zero Trust Initiatives

AI Security Readiness Assessment

We assess your AI environment to identify data risks, detect Shadow AI, and align with Zero Trust and compliance.

Try AI Security Readiness Assessment

Secure AI Strategy, Deployment, & Proof of Concepts

We help you securely plan, test, and execute AI deployments, prioritizing the integrity and confidentiality of your models and data.

AI Red Team & Penetration Testing

Our offensive security team identifies weaknesses before attackers do, by testing your AI systems against real-world AI threats.

AI Security Solutions Throughout the AI Lifecycle

AI Strategy

  • AI Security Strategy
  • Secure Architecture Design

AI Preparedness

  • AI Security Assessment
  • Red Teaming
  • AI Readiness Assessment
  • Responsible AI

AI Deployment

  • Secure AI Implementation
  • Data Protection
  • AI Governance

AI Maintenance

  • MDR for AI
  • Audit Logging
  • AI Red Team Exercises
  • AI Penetration Testing

Securing AI with Microsoft Security Tools

As a top Microsoft Solutions Partner, ProArch applies the Microsoft security stack to protect your AI infrastructure across the board

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AI Security FAQs

Why is Proarch one of the best AI security companies?

ProArch stands out for our ability to secure every phase of the AI lifecycle from strategy and architecture to 24/7 threat monitoring and response. As a top Microsoft partner and member of the Microsoft Intelligence Security Association we’re not just reacting to AI risks—we’re leading the charge.

What is AI security, and how does it differ from traditional cybersecurity?

Traditional cybersecurity focuses on infrastructure, network/endpoint protection, etc. AI security adds new layers: model integrity, prompt validation, data governance, and ethical oversight.

AI security focuses on protecting:

  • AI Models: From theft, poisoning, and adversarial inputs.
  • AI Outputs: Ensuring fairness, explainability, and ethical use.
  • AI Systems: Including data pipelines, APIs, and LLM endpoints.

Is AI security affordable for small businesses?

Yes. Costs vary based on your objective. MDR for AI is becoming more common and should be part of your MDR providers roadmap, if not already. Security for custom AI solutions requires measures like auditing training data, access controls, prompt-/input validation, and monitoring which can be affordable. Contact us for a custom quote.

Can AI do cyber security?

AI plays a crucial role in helping security teams keep up with attackers. ProArch uses AI to power our MDR services.

AI enhances cybersecurity by:

  • Detecting Threats Faster: AI-driven platforms identify anomalies and threats faster than traditional methods.
  • Automating Response: AI enables real-time containment and remediation.
  • Scaling Defenses: AI systems process vast data volumes efficiently, making them ideal for MDR and SOC operations.

How should sensitive data be handled in AI systems to maintain security and compliance?

ProArch recommends:

  • Data Classification: Using Microsoft Purview to label and protect sensitive data.
  • Access Controls: Enforcing least privilege and conditional access.
  • Prompt Filtering: Preventing sensitive data from leaking via AI interactions.
  • Lifecycle Protection: Securing data from ingestion to output.

Why is monitoring and detecting AI-specific threats essential?

AI introduces new risks:

  • Prompt Injection
  • Model Poisoning
  • Shadow AI
  • Data Leakage

Without monitoring, these threats go undetected and can lead to issues with customer trust, sensitive information exposed, and security incidents that cause costly downtime.

How do you test AI security vulnerabilities?

AI Red Teaming: Simulates adversarial attacks to uncover weaknesses.

AI Security Assessment: Identify data risks, detect Shadow AI, and align with Zero Trust and compliance.

Microsoft Zero Trust Assessment: Gain clarity on your current Microsoft Cloud security posture and a proven strategy to advance your Zero Trust journey.

Innovate Without Compromise

Protect your AI investments with ProArch’s end-to-end AI security solutions.

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