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Providence AI Penetration Testing & LLM Security Services

We Secure Providence's AI Initiatives in Healthcare and Higher Education

Providence's economy is anchored by major hospital systems, research universities including Brown and RISD, a long-standing insurance and financial services presence, and a legacy manufacturing base rooted in jewelry and precision goods. InfoSight's AI Penetration Testing Services help Providence organizations uncover these weaknesses before attackers do.

InfoSight's testers simulate real-world attacks against Providence's Agentic AI, enterprise copilots, and RAG-based knowledge systems running on Microsoft Copilot, OpenAI, Claude, and Gemini, probing for jailbreaks, prompt injection, identity abuse, privilege escalation, sensitive data exposure, and unsafe plugin execution across healthcare, education, and insurance operations.

Results are benchmarked against the OWASP Top 10 for LLM Applications and the NIST AI Risk Management Framework, so Providence's hospital systems, universities, and insurers know exactly what to remediate first.

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Audit checklist icon Audit-Ready AI Risk Reporting

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Trusted by organizations deploying AI across regulated industries.

Wayspring
BankUnited
Santander
iThink Financial
Tampa Museum of Art
Ohio Electric Cooperatives
APCU
Colgate University
Tampa Bay Fisheries
Apple Federal Credit Union
Charlotte County Florida
CEA

From downtown hospital campuses to historic university research labs, an unchecked AI vulnerability can put critical data at risk.

Protect your Providence organization with expert-led AI Penetration Testing Services from InfoSight.

Our specialists simulate realistic attacks against the AI technologies powering Providence's healthcare, education, insurance, and manufacturing organizations. From clinical decision-support tools and research assistants to Copilot deployments and RAG-based knowledge systems, we uncover prompt manipulation, unauthorized data access, excessive permissions, and unsafe autonomous actions—helping your team close gaps before they become incidents.

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Why InfoSight for AI Security?

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AI Security Practice Expertise

We are testers trained specifically in LLM exploitation techniques — not generalists running automated prompt scanners.

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25-Year Regulated Industry Track Record

Since 1998 we've guided banks, hospitals, and utilities through every audit, breach, and compliance overhaul — now extended to AI risk.

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SOC 2 Type II Attested

Independent SOC 2 Type II attestation proves our own controls protect the sensitive data your AI systems expose to us during testing.

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Human-Led, Machine Validated

We use advanced tools at machine speed to find security gaps – then expert testers validate findings and use techniques to chain vectors together using human manipulation the way real adversaries do.

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Governance-Minded Testers

Findings mapped to the OWASP Top 10 for LLM Applications and the NIST AI Risk Management Framework — not just a list of broken prompts.

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U.S.-Based Delivery Team

No outsourcing of your AI system's sensitive prompts, data flows, or architecture to third-party contractors.

Serving Clients Nationwide!

AI Security Testing Tailored to Providence's Healthcare and Education Economy

From Providence's hospital systems and research universities to its insurance institutions and precision manufacturing base, every Providence organization carries a distinct AI risk profile. Our AI Penetration Testing Service is tailored to your environment and delivers:

  • Industry-aware risk prioritization - understand which AI vulnerabilities could create the greatest consequences for your data, patients, students, or policyholders
  • Practical remediation guidance - receive actionable recommendations for strengthening AI models, prompts, permissions, data flows, and integrations
  • Clear evidence for security and governance - support AI risk management, compliance activities, and executive decision-making with documented findings

What actually changes after an engagement:

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Real exposure, not assumed exposure. Evidence - validated, reproducible, ranked by business impact - instead of a guess.

Attack surface icon

A shrinking attack surface. Findings are tracked to closure, and Mitigator shows exposure trending down over each engagement.

Board reporting icon

A defensible answer for your board. When leadership asks "are we exposed," you have evidence, not an opinion.

Remediation icon

A to-do list, not a PDF to interpret. Every finding ships with reproduction steps and remediation guidance your engineers can act on immediately.

Testing process icon

A repeatable process. Each new AI feature gets tested against the same standard, so you're never starting from zero.

What We Test

Testing Area
What We Do
Sensitive data exposure
AI can be manipulated into disclosing information it was never meant to share.
Prompt injection
Malicious instructions hidden in input or connected data can override intended behavior.
Model manipulation
Attackers bypass restrictions or extract underlying instructions.
Compliance exposure
HIPAA and GLBA raise the stakes on how AI handles protected data.
IP leakage
connected AI assistants can surface proprietary information to the wrong audience.
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InfoSight AI penetration testing process diagram for businesses
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MITIGATOR Cyber Risk and Threat Intelligence Platform

Powered by Mitigator™

Most penetration test findings live and die in a PDF - read once, filed away, stale the moment the ink dries. InfoSight's don't. Every AI Penetration Testing engagement runs through Mitigator, InfoSight's proprietary threat-intelligence dashboard, and stays there for as long as you're a client.

  • A live portal, not a static report - see current AI risk posture any time, no waiting on the next PDF.
  • Remediation tracking, not a findings list - every finding carries a status: open, in progress, validated closed.
  • Trending over time, not a snapshot - see whether AI risk is going up or down release over release.
  • Board-ready views on demand - pull a current risk summary ahead of a board meeting or audit.
  • Exposure mapped to your frameworks - NIST AI RMF, OWASP Top 10 for LLMs, HIPAA, PCI DSS, GLBA - updated as findings are remediated.
CompTIA PenTest+ Certified Plus Series
CompTIA CySA+ Certified Plus Series
CompTIA CSAP Security Analytics Professional
CISM Certified Information Security Manager
INE ICCA Certification
eJPT Certification
Google Cloud Certified Associate Cloud Engineer
CompTIA Security+ Certified Plus Series
CompTIA Cloud Essentials+ Certified Plus Series
CRISC Certified in Risk and Information Systems Control
CISA Certified Information Systems Auditor
Certified Banking Cybersecurity Manager (CBCM)
AWS Certified Cloud Practitioner Foundational
American Water Works Association Utility Risk & Resilience

How the Assessment Works

  • Scope & Threat Modeling - We map your AI ecosystem, assets and data flows; define business priorities; and model threat actors and attack paths that matter most.
  • Discovery - We identify AI tools, integrations, data flows, and permissions including shadow AI and third-party services across the environment.
  • Certified practitioners - simulate real-world attacks, exploit findings safely, and validate impact with hands-on testing and abuse-case scenarios.
  • Exploitation & Validation Risk Scoring - Findings are ranked by likelihood, impact and business criticality and mapped to frameworks (e.g., NIST AI RMF, OWASP, ISO, SOC 2) so teams know what matters first.
  • Reporting & Readout - You receive an executive summary, technical report, prioritized remediation roadmap, and a live walkthrough with clear next steps and ownership recommendations.

Providence - AI Penetration Testing Frequently Asked Questions

AI penetration testing is an authorized security assessment that examines LLM applications, AI agents, chatbots, RAG pipelines, and enterprise AI integrations for exploitable weaknesses across Providence's healthcare, higher education, insurance, and manufacturing sectors.

Testing can assess generative AI applications, autonomous AI agents, customer-facing chatbots, retrieval-augmented generation environments, Microsoft Copilot deployments, APIs, plugins, and third-party integrations used by organizations throughout the Providence metro.

An assessment can uncover prompt injection, jailbreaks, indirect prompt manipulation, sensitive data exposure, insecure output handling, excessive agency, unauthorized tool execution, privilege escalation, and other risks aligned with the OWASP Top 10 for LLM Applications.

Yes. Providence's hospital systems and research universities can have AI-driven clinical decision support tools, research platforms, and student-facing chatbots assessed for privilege escalation, data leakage, and model abuse risks.

Traditional penetration testing focuses on networks, applications, and infrastructure, while AI penetration testing also evaluates model behavior, prompt manipulation, data retrieval, autonomous decisions, and tool permissions unique to AI-driven systems.

Yes. Testing can evaluate Microsoft Copilot deployments, Entra ID permissions, connected data sources, and identity pathways to determine whether AI functionality could contribute to unauthorized access or sensitive information exposure.

Specialists simulate attacks to determine whether prompts, AI agents, RAG pipelines, APIs, or connected data sources could be manipulated to expose policyholder information, proprietary manufacturing data, or other sensitive business content.

AI systems should be tested before production deployment and after significant changes to models, prompts, data sources, integrations, or permissions. Recurring assessments aligned with the NIST AI Risk Management Framework help manage risk as adoption grows.

Deliverables may include an executive summary, detailed technical findings, risk prioritization, business impact analysis, remediation recommendations, compliance-focused documentation, and a stakeholder briefing on your organization's AI security posture.