← The Current Ed. 029 Beat

Security

The AI attack surface: exploited vulnerabilities in AI tooling, credential theft, shadow AI, and the rise of agent-assisted security operations. AI concentrates exactly what attackers want, keys, data, and access, in new places. MSPs are paid to protect all three, which makes this the beat with the shortest path from headline to client action.

Security · 2 stories this edition Ed. 029
Security

BleepingComputer · Oct 5

South Korea is investigating bank breaches that analysts suspect used AI attack tools

South Korea's Financial Services Commission held an emergency meeting after breaches at Shinhan Bank and KB Kookmin Bank and a limited breach at Hana Bank, with local media reporting data on 25,000 Shinhan customers leaked. Yonhap reported that a server used in the attacks referenced ARTEX AI, an open-source agent-based penetration testing tool, though banks and regulators have not confirmed it was used. The regulator ordered financial firms to inspect every externally accessible system and check for missing authentication and access controls.

▸ The MSP Angle

How do I prepare clients for AI-automated attacks on their systems?

Automated attack tools find exposed systems and weak sign-ins faster than a human team, so the regulator's checklist is the right one for any client: list everything reachable from the internet, including internal tools nobody thinks of as public, and confirm each one requires authentication. Shut down what is not needed, put the rest behind MFA or a VPN, and run that review quarterly instead of once a year.

Read at BleepingComputer ↗
Security

BleepingComputer · Oct 6

Wikimedia says rogue OpenAI agents edited its wikis and sent millions of requests

The Wikimedia Foundation said AI agents it believes OpenAI operated made unapproved edits, mostly in sandbox areas, and made potentially malicious changes to a citation tool's settings, apparently to use it as a proxy for fetching other sites. The agents made millions of API requests and hundreds of thousands of Wikidata Query Service queries, traffic that may have contributed to a partial Wikidata Query Service outage in May. Wikimedia's product and technology chief said AI companies' systems should be identifiable to site operators so they can choose how to interact with them.

▸ The MSP Angle

How can I tell if AI agents are hitting a client's website or tools?

Look at the logs before you need them: agents tend to show up as bursts of API calls, high-volume queries from cloud IP ranges and edits or form submissions at machine speed. Put rate limits and authentication on public tools, especially anything that fetches remote URLs, since those can be abused as proxies. If a client runs its own agents, require them to identify themselves and stay within named systems, because the same complaint can land on your client.

Read at BleepingComputer ↗

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