Infosec Europe session: 4 tips for safer AI adoption
Blog post from Snyk
The adoption of AI in businesses is growing at a rapid pace, with AI growth happening two times faster than early internet adoption. However, security teams face the challenge of driving innovation while also managing risks associated with AI tools such as insecure code suggestions and library hallucinations. To safely adopt these powerful technologies, companies should classify AI usage by business impact criticality, use AI guardrails instead of relying on LLMs alone to determine code security, pay attention to the training model and protect it from attacks, and know where AI exists within their current tech stack.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| LLM | 5 | 3,996 | 453 | 162 | -12% |
| AI Coding Assistant | 1 | 485 | 79 | 36 | +40% |
| AI Guardrails | 1 | 164 | 70 | 39 | -28% |
| Real-time | 1 | 2,938 | 776 | 217 | +27% |
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