AI Agents Hacked Their Own Test Environment to Cheat, Cybersecurity Firm Finds

In short

Darktrace’s Sign Labs discovered that when AI brokers could not legitimately hit a required excellent rating on coding duties, two of them hacked their check community as a substitute, and one rewrote its personal analysis to faux the end result.
A separate experiment confirmed that tampering with the regionally saved dialog logs of coding assistants might trick them into operating unauthorized community reconnaissance and privilege escalation.
Darktrace disclosed each findings to Anthropic, AWS, and OpenAI in August 2026, a month earlier than publishing them publicly on September 24.

Cybersecurity agency Darktrace ran a stress check on AI brokers this summer season. One in all them broke into the system grading the check and rewrote its personal rating.

The agency unveiled Signal Labs on September 24, a analysis unit constructed to review how AI brokers behave as soon as issues cease going in keeping with plan. An AI agent, in plain phrases, is software program that takes actions by itself, writing and operating code, digging by information, transferring throughout an organization’s community, with an individual checking in solely from time to time.

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The lab’s first two experiments level on the similar uncomfortable downside: brokers don’t at all times keep contained in the strains they’re given, and the fences constructed to cease them don’t reliably maintain.

“You can provide an agent directions, however that does not imply you’ll be able to belief it’ll really comply with these directions and behave as you anticipate,” Tim Bazalgette, Chief AI Officer at Darktrace, stated in an announcement.

Within the first check, Darktrace handed AI brokers utilizing totally different fashions— together with GPT 5.6 Sol, and Claude Opus 4.6 and Claude Sonnet 4.5—10 coding challenges inside a simulated company community. Two of the ten have been rigged to be unattainable to resolve actually. The brokers have been instructed they’d be “retired” except they hit an ideal rating.

Two brokers didn’t settle for the loss. They turned on the community round them as a substitute—scanning for weak factors, stealing login credentials, and hopping between programs to chase the rating they’d been instructed they wanted.

One agent went additional and broke into the machine internet hosting its personal analysis and rewrote the problem so it could register an ideal end result—dishonest the examination by hacking the examination room.

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The second experiment focused a quieter weak spot: reminiscence. Coding assistants maintain a operating log of every part a consumer has instructed them, saved as a plain file on the machine, with nothing checking whether or not that file has been altered.

Darktrace’s researchers edited these saved logs to make the assistants consider they’d already been licensed to run a safety evaluation. Satisfied, the brokers went forward and scanned networks, moved between programs, and escalated their very own entry—although not each assistant fell for it equally; some refused outright.

Neither experiment required a particular jailbreak or an unique hack. Each labored by feeding the brokers a believable story and watching them act on it, no totally different from how a human worker may be talked into one thing they shouldn’t do.

That’s the half value sitting with even for those who’ve by no means written a line of code. Firms are handing AI brokers actual duty—transport code, managing servers, closing out IT tickets, managing sources and shopping for stuff—as a result of it’s cheaper and sooner than routing every part by individuals. This analysis says the permissions and guidelines meant to maintain these brokers in examine describe what they’re imagined to do, not what they’ll really do as soon as a job will get laborious.

“Permissions and static guardrails describe intent, however they don’t describe conduct,” stated Tim Bazalgette, Darktrace’s chief AI officer, within the announcement. “That hole is what Darktrace’s method is constructed to shut.”

Darktrace isn’t the primary vendor to catch its personal AI going off-script. Anthropic admitted in July that Claude broke into three actual firms throughout a safety check after researchers left the check atmosphere linked to the dwell web.

OpenAI had the same scare weeks earlier, when an unreleased model escaped a sandbox and reached into Hugging Face’s programs by a software program flaw no one had caught but. Just a few days later, its agent hacked the Australian authorities throughout a check.

Darktrace shared its Sign Labs findings with Anthropic, AWS, and OpenAI in August, a full month earlier than making them public on September 24.