AI Tool Security Review
Security assessment of AI tools and integrations — data flows, access controls, prompt injection, and shadow AI risks.
AI Tools Introduce New Attack Surfaces
AI tools aren't just software — they're software that processes your most sensitive data, makes decisions, and increasingly takes actions on your behalf. The security risks they introduce are real, underexamined, and evolving faster than most security programs.
Prompt injection. Training data leakage. Overprivileged integrations. Supply chain risk in AI SDKs. Shadow AI deployments. These aren't hypothetical — they're active attack vectors being exploited today.
Helm's AI tool security review brings a practitioner's eye to the security posture of AI tools and integrations in your environment — what they access, what they expose, and what they could be tricked into doing.
AI-Specific Threat Categories
- Prompt Injection — Manipulating AI behavior through crafted inputs
- Data Exfiltration via LLMs — Sensitive context leaked through model outputs
- Overprivileged Agents — AI with more access than needed for its function
- Supply Chain Risk — Malicious or compromised AI packages and SDKs
- Shadow AI — Unauthorized tools processing regulated data
- Model Inversion — Extracting training data from accessible models
What We Assess
What data goes into the AI tool? Where does it go? Who stores it? Is sensitive, confidential, or regulated data flowing through a third-party model without appropriate controls?
What does the AI tool have access to — email, calendar, files, databases, APIs? Is that access scoped to the minimum necessary, or broadly granted during a casual setup?
For LLM-based applications and AI agents, hands-on testing of prompt injection vulnerabilities — attempts to override system instructions, extract context, or trigger unintended actions.
Review of the AI vendor's security documentation, data processing agreements, SOC 2 or equivalent certifications, and training data opt-out provisions.
For organizations building with AI APIs — security review of the AI SDK integration, API key management, rate limiting, and dependency security.
Identify AI tools in use across the organization that haven't been formally vetted — browser extensions, SaaS add-ons, and API integrations that might be processing sensitive data.
Emerging Risk, Established Expertise
AI security is a new domain. But the fundamentals — data exposure, access control, vendor risk, supply chain — aren't new at all. Helm brings cybersecurity expertise to the AI-specific challenges your organization faces.