SOC 2
A security compliance framework that verifies an organization's controls for data security, availability, processing integrity, confidentiality, and privacy. Look for SOC 2 compliance in AI tool providers.
Why it matters
When you trust a tool with your data, you want proof it's actually secure, not just promises. SOC 2 is an independent audit that verifies a company follows solid practices for protecting information. It matters most for businesses evaluating AI vendors, since a SOC 2 report signals the provider takes security seriously. Seeing that badge can be the deciding factor between two otherwise similar tools.
A concrete example
Your company is choosing between two AI note-taking apps that record meetings. Both look great, but only one has a SOC 2 report showing audited controls for data security and confidentiality. Your IT team picks that one, confident that meeting transcripts won't leak or be mishandled. The report is your shortcut to trusting a vendor without personally inspecting every server and password policy they run.
How to use it
When evaluating a vendor, ask for the actual report rather than accepting the badge, and check three things: whether it is Type II (which tests controls over time) rather than Type I (a point in time), how recent it is, and which trust criteria it covers. A report is evidence that controls were tested, which is genuinely useful, and it is not a guarantee about the specific thing you care about. The AICPA, which defines the framework, sets out what the trust services criteria actually cover.
The common mistake
Reading "SOC 2 aligned" as "SOC 2 certified". Aligned usually means the controls resemble the framework without an independent audit having taken place, which is a materially weaker claim.
Related terms
GDPR
The European Union's General Data Protection Regulation governing how personal data is collected, stored, and processed. Important when choosing AI tools that handle your data.
Guardrails
Safety mechanisms built into AI systems to prevent harmful, biased, or off-topic outputs. Includes content filters, topic restrictions, output validation, and behavioral boundaries that keep AI responses within acceptable limits.
BYOK (Bring Your Own Key)
A model where users provide their own API keys for AI services (like OpenAI or Anthropic) instead of using the platform's shared access. Offers more control over usage, billing, and rate limits.
AI Alignment
The research challenge of ensuring AI systems pursue goals that are beneficial to humans. Misaligned AI could technically achieve its objective while causing unintended harm. Alignment research aims to make AI reliably helpful, harmless, and honest.
AI Detector
A tool that estimates whether a passage of text was generated by an AI model, by measuring statistical properties of the writing rather than by checking any record of its origin.
Bias (in AI)
Systematic errors in AI outputs reflecting prejudices in training data. Can manifest as gender stereotyping, racial assumptions, or cultural insensitivity in generated content.