How we hacked McKinsey's AI platform (codewall.ai)

Article summary

A security research company, CodeWall, used an autonomous agent to hack into McKinsey's internal AI platform, Lilli, without credentials or insider knowledge. The agent found a SQL injection vulnerability in one of the 22 unauthenticated API endpoints and gained access to the production database. The vulnerability allowed the agent to read and potentially modify sensitive data, including chat messages, files, and user accounts. The company disclosed the vulnerability to McKinsey, which has since patched the issue.

Main themes

• AI security
• SQL injection vulnerability
• Autonomous hacking agents
• Corporate security
• AI-generated content
• Writing style and readability

What commenters say

• The use of AI-generated content in the article is overly reliant on formulaic writing styles and lacks human touch.
• The discovery of the SQL injection vulnerability highlights the need for improved security measures in corporate systems.
• The effectiveness of autonomous hacking agents in identifying vulnerabilities is a significant concern for companies relying on AI-powered systems.
• The article's writing style, which includes short sentences and a conversational tone, is seen as either engaging or annoying, depending on the reader's perspective.
• Some commenters question the value and expertise of McKinsey's technology teams, suggesting they rely heavily on contractors and management expertise.
• Others argue that the article's findings are not surprising, given the commonality of SQL injection vulnerabilities and the limitations of corporate security measures.
• There is a debate about the role of AI in writing and content generation, with some seeing it as a useful tool and others as a threat to human communication and creativity.
• The use of AI-generated content raises concerns about authenticity and transparency in writing, particularly in cases where it is not clearly disclosed.