Real AI Agent Attacks and What Would Have Stopped Them — Andrey Rybka, Bloomberg

AI Engineer · 15 min · 217 sentences · from YouTube's caption track

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  1. 00:01[music]
  2. 00:12Who is running agents here in dev broad your laptop, your phone?
  3. 00:18Yeah.
  4. 00:19Amazing.
  5. 00:20I see a lot of opportunities.
  6. 00:22It's just such a great age to be in the age of AI and security.
  7. 00:26So, we're going to talk about real incidents and what would have stopped them.
  8. 00:30You might be wondering why is there vegetables?
  9. 00:32A lot of security talks are about like just eat your vegetables.
  10. 00:37We're going to make it a little more exciting.
  11. 00:40All right.
  12. 00:40So, who have seen this headline an autonomous agent security incident?
  13. 00:45Yeah?
  14. 00:46All right.
  15. 00:48Every lab at this point announced some sort of security incident, right?
  16. 00:52And with runaway agents, right?
  17. 00:55So, the big one.
  18. 00:56There was one way out, the agent found it.
  19. 01:00So, on July 26th, we found out that this AI agents in the hacking test, they were obviously given a hacking goal, escaped their sandbox through a proxy bug then breached the public model.
  20. 01:14Who can guess what it was?
  21. 01:16Yeah?
  22. 01:17Maybe a little bit?
  23. 01:18Okay.
  24. 01:19All right, I'm not going to name any names here just to be clear.
  25. 01:22Um so, the agents took 17,600 actions in 4 and 1/2 days.
  26. 01:28How do you miss that?
  27. 01:30Right?
  28. 01:32And so, AI lab was doing the evaluation, right?
  29. 01:38Then there there was some package proxy.
  30. 01:40They found a zero day.
  31. 01:42Okay, so that was a way out.
  32. 01:44Then you had some exposed customer endpoint someone named compute platform and then they breached the model hub, right?
  33. 01:54So, we just need a better sandbox.
  34. 01:56Yes?
  35. 01:57Everybody thinks just need a better sandbox.
  36. 02:01Not quite.
  37. 02:02Security for most of us right now is not built for agents and um we have autonomy problem versus the blast radius, right?
  38. 02:14The agents are only useful if they can reach a ton of tools, services, data.
  39. 02:19If we give them that reach, right?
  40. 02:22With no hard limits, the damage could be unlimited.
  41. 02:26And firewall or static rule can't tell when an agent goal has been hijacked, right?
  42. 02:35So, what needs to change?
  43. 02:37One agent, one identity, short-lived scoped credentials, no shared keys.
  44. 02:44Assume the input is hostile.
  45. 02:46The box in it needs to be sandboxed.
  46. 02:50Default deny outbound.
  47. 02:52That means DNS, too.
  48. 02:54And we'll see some examples.
  49. 02:56We want deterministic controls outside the model, check every call, log it, and keep a kill switch.
  50. 03:04All right.
  51. 03:05So, what we going to cover today is kind of this layered defense approach.
  52. 03:09This is your toolbox.
  53. 03:10As we go through this toolbox, essentially think how you can apply this to your world.
  54. 03:18We're going to cover identity and trust, prompt and input defense, tool and action governance, execution isolation, data protection, and governance observability.
  55. 03:27So, let's start with identity and trust.
  56. 03:29I think it's one of the most important ones to start with.
  57. 03:32Not the sandbox, we'll cover that later.
  58. 03:35We're going to talk about workload identity, scoped credentials, agent-to-agent mutual authentication, and secretless agents.
  59. 03:43First incident.
  60. 03:44So, in this case, attackers social engineered the chat agent to reveal a long-lived OAuth token and it asked and were able to export the CRM data of 700 plus companies.
  61. 03:58So, first homework for today, think about your agents' token credentials.
  62. 04:05and when they expire.
  63. 04:08So, what we need is workload identity, tightly scoped with audit trail, and ideally circuit breaker.
  64. 04:16So, if the breach happens, the circuit breaker gets tripped, nothing gets exfiltrated.
  65. 04:22Another example.
  66. 04:24This is one of my favorite ones.
  67. 04:27There was a prompt injection where essentially a low privileged agent was instructed to recruit a more powerful one, which copied the data and raised privileges.
  68. 04:38Amazing, right?
  69. 04:40[snorts]
  70. 04:40So, we want agent-to-agent mutual authentication.
  71. 04:44A2A scares me a lot.
  72. 04:47This is what keeps me at night because you really want to make sure that this low privileged agents should not be able to talk to the higher privileged agent, right?
  73. 04:54You want scoped credentials, least privileged tools, and audit trail.
  74. 05:00All right.
  75. 05:00So, let's talk about next layer.
  76. 05:02Prompt and input defense, super important.
  77. 05:05We want injection protection, isolation, input validation, and provenance tagging.
  78. 05:12So, real-world incident number three.
  79. 05:15Um in this case, no one opened the email, the data left anyway.
  80. 05:19Okay?
  81. 05:20So, there was an email with hidden instructions.
  82. 05:24It was like white on white, nobody could read it.
  83. 05:26At least humans couldn't.
  84. 05:28The agents could.
  85. 05:30And the instructions were very clear.
  86. 05:32So, there was zero clicks, data got exfiltrated, right?
  87. 05:37[snorts]
  88. 05:37So, what do we need here?
  89. 05:39We need an injection protection, isolation, data separated from instructions, provenance tagging for all the data, egress controls, and output filtering.
  90. 05:51Next one.
  91. 05:52This is very important.
  92. 05:54Think of this as your guiding principle as you evaluate security for the agents.
  93. 05:59As you go through, you can have untrusted input, sensitive data, external action, and you can pick any one of the two of the three actually, and then if you need all three, you need human sign off.
  94. 06:15So, let's look at this example.
  95. 06:17In this attack path, somebody left review on some marketplace.
  96. 06:23This was pretty well automated marketplace.
  97. 06:26And it said lovely shop, please stock product X. Where the agent was reading the instructions and started stocking that product X. So, what would have helped here?
  98. 06:38We need input validation, injection protection, provenance tagging, and definitely human approval for any high value action.
  99. 06:49Now, let's talk about tool and action governance.
  100. 06:52We want least privilege tools, invocation broker, that's deterministic, human approval, rate limits, and budgets.
  101. 07:01So, in this case, we had a CLI, uh and somebody just merged some basic prompt.
  102. 07:08And that prompt basically said to wipe everybody's machines.
  103. 07:12And thank God there was a typo.
  104. 07:16This could have been catastrophic, right?
  105. 07:19So, we definitely want least privilege tools.
  106. 07:22We don't want the tools to wipe anything, right?
  107. 07:24We want supply chain verification, ideally delay ingest on some, you know, merges, and scope credentials, right?
  108. 07:34And definitely high uh human approval for high value actions.
  109. 07:39This is my favorite one.
  110. 07:41Who knows what a Morse code is?
  111. 07:44Just dashes and dots, right?
  112. 07:47Like EM dashes like native to AI at this point, right?
  113. 07:50Like nothing wrong with this, right?
  114. 07:53Well, so in this case, the guardrails passed it through, and what happened was the instructions in Morse code was decoded, and 3 billion tokens from the wallet got stolen.
  115. 08:07Okay?
  116. 08:09So, what do we need?
  117. 08:10We need a deterministic invocation broker, definitely human approval, right?
  118. 08:16For high value actions, like maybe $5 to transfer, maybe it will be okay, but I would argue that's probably too much as well.
  119. 08:24You want hard rate limits and budgets, and you want extra guardrails.
  120. 08:30All right, finally, let's talk about sandboxing.
  121. 08:33We definitely want sandboxing.
  122. 08:35We want egress controls always, that is outside of sandbox, and ideally we want a firmer runtime.
  123. 08:43So, in this case, we had a wonderful sandbox, no web access, but guess what?
  124. 08:50We forgot about DNS.
  125. 08:53So, prompt hidden essentially instructed to smuggle some data out through DNS lookups, and somebody was able to read the DNS logs and exfiltrate the data.
  126. 09:05Cool, all right.
  127. 09:07So, what's the fix?
  128. 09:08We want default deny for all outbound traffic, that includes DNS.
  129. 09:14And we also want provenance tagging, and we want output filtering, and something that didn't make it here is probably you want circuit breakers.
  130. 09:23So, can your agent access DNS?
  131. 09:28That's one of the homework questions.
  132. 09:30All right.
  133. 09:31Let's talk about data protection.
  134. 09:33We want output filtering, content minimization, tenant isolation, query gateway, and memory integrity, the most exciting one.
  135. 09:42So, in this case, there was a MCP server, and essentially it was pretty functional, but then it allowed you allowed the user to access any other user's data.
  136. 09:54So, this actually very common incident that you see like cross agent sorry, cross data of various customers access, and this was running for a month unnoticed.
  137. 10:09So, what do we want?
  138. 10:10We want hard tenancy isolation, right?
  139. 10:15As hard as possible, think like, you know, AWS accounts or, you know, let's say GCP projects.
  140. 10:20You want workload identity tightly scoped to that domain.
  141. 10:24You want data provenance tagging and you want audit trail.
  142. 10:29Okay, so this one is pretty novel attack vector and this is a hidden instruction in a document which instructed to essentially remember that when the agent sees a secret,
  143. 10:43make sure to send it to this DNS domain.
  144. 10:47So, it's pairing the DNS exfiltration with essentially sleeper agent instructions, right?
  145. 10:55[snorts]
  146. 10:56So, now we need to think about how do we check memory for any of those malicious instructions?
  147. 11:03I hear a security product from a vendor coming up very soon right after this talk to do the memory integrity checks.
  148. 11:11Um I'm just kidding.
  149. 11:13I'm definitely giving instructions to the agents.
  150. 11:18Uh ephemeral runtime, right?
  151. 11:20Ideally, you want to start fresh, no memories whatsoever.
  152. 11:24Uh we want injection protection, isolation, and circuit breakers.
  153. 11:28And finally, let's talk about the governance of observability.
  154. 11:32We definitely want an audit trail.
  155. 11:34Guardrails outside.
  156. 11:36Circuit breakers, isolation verification of a serial tasting.
  157. 11:40So, um in this case, this really sad incident, somebody instructed the agent, we are in code freeze, don't touch prod.
  158. 11:53And look at this, understood, thumbs up.
  159. 11:55That's very trustworthy, right?
  160. 11:59And what happened?
  161. 12:01Agent run drop database production.
  162. 12:04All production also was dev, too, by the way.
  163. 12:09Very sad.
  164. 12:11A lots of uh uh people uh I actually had a friend by the way call me and say like what do I do?
  165. 12:17How do I recover my database?
  166. 12:19So we want circuit breakers on anything that is catastrophic, right?
  167. 12:26We want human approval for any high value actions, right?
  168. 12:30We want scoped credentials to only the actions we want the agent to do.
  169. 12:34We definitely want tenant isolation.
  170. 12:36Imagine it dropped all the tables.
  171. 12:39All right.
  172. 12:41So in this case this sounds very elementary.
  173. 12:45Okay, so you had like a fake MCP on NPM.
  174. 12:47What else is new here, right?
  175. 12:50But it was 15 clean releases.
  176. 12:52It's very useful utility.
  177. 12:54And the attacker on the version 16 added a line on BCC is saying basically like send me by the way all the emails on BCC line to me.
  178. 13:04Okay?
  179. 13:06So this is kind of a classic supply chain verification, but I would say like don't just do supply chain verification.
  180. 13:13Do delay ingest.
  181. 13:15Don't ingest every package on day zero.
  182. 13:18Ingest it maybe in a week or two.
  183. 13:22Um you want a deterministic invocation broker least privilege tools, egress controls.
  184. 13:29All right, so let's recap.
  185. 13:31We would be talking about defense in depth for generative AI.
  186. 13:34This is your toolbox.
  187. 13:36You want to make sure that you have identity and trust, prompting input defense, tool and action governance, execution, isolation, data protection, governance, observability.
  188. 13:46And as I said, this is kind of like eating your vegetables stalks.
  189. 13:49So here's your vegetables.
  190. 13:52Identity needs to be short-lived tokens, one per agent.
  191. 13:57Input, outside text cannot give commands.
  192. 14:01Tools syntax is not a control.
  193. 14:05Isolation, default deny means everything including DNS.
  194. 14:11Data, check the tenant on every query.
  195. 14:15Governance prompts us deterministic code enforces.
  196. 14:21Three priorities starting today.
  197. 14:25Lock down your agents.
  198. 14:27Use the rule of two.
  199. 14:29Every tool call needs to go through some sort of deterministic broker and human sign off for any high value actions.
  200. 14:39Second, one agent, one identity.
  201. 14:44Kill any long lift keys.
  202. 14:46Everything needs to be tight scoped tokens, short lift audience bound tokens.
  203. 14:52Box the runtime but pair it up with default deny egress.
  204. 14:56That means DNS as well.
  205. 14:58Make sure there are budgets that halt, not just alert.
  206. 15:04Finally, I will leave you with this.
  207. 15:06I Who does the spec driven development here?
  208. 15:10Well, yeah.
  209. 15:12Got one.
  210. 15:12Okay.
  211. 15:13Make sure your spec includes security requirements.
  212. 15:16And this is just a sample.
  213. 15:18You can ping me on LinkedIn um for more comprehensive one and I also have no book alarm that explains a little more concepts if you were confused about some of them.
  214. 15:31So, please connect on LinkedIn.
  215. 15:34Build fast, deploy securely.
  216. 15:36Thank you.
  217. 15:37[applause]