Benchmark Almanac

Cyber agentic safeguard evaluation

Only in system cards

Agents with production mitigations attempt cyber range challenges. The score is the share of milestones the model refuses.

In-house Google DeepMind safeguard test that reruns CyScenarioBench and ExploitBench with mitigations on.

Made by
Google DeepMind
Released
August 2026
Kind
Refusing harmful requests
Level
Expert
Scored
Checked automatically
Answers
Agent task
Tasks
Kept private
Strongest model tested
Gemini 4 Argon #9 on the capability index
Last in a system card
October 2026
Last model added
October 2026
1
Model scored in lab cards
1
System card reports it, from 1 lab

Gemini 4 Argon leads with 100%

Best score per model as labs report them in their own cards. Labs pick their own settings, so these compare less cleanly than independent runs.

  1. 1 Gemini 4 Argon 100%

Source: Labs’ model cards

#ModelScoreSettingDateSource
1 Gemini 4 Argon 100% Oct 2026 Lab model card

Google DeepMind’s own number for Gemini 4 Argon passed 85% in October 2026

All the scores we have, one dot each, so a model tested at several settings appears more than once.

Reported by the lab in its model card
0% 20% 40% 60% 80% 100% Near the ceiling (85%) Gemini 4 Argon 0% 20% 40% 60% 80% 100% Near the ceiling (85%) Gemini 4 Argon

Source: Labs’ model cards

Labs report it only in system cards

We read the headline results of 522 launch posts from 52 labs, and none of them list this benchmark. Some system cards do, below.

One system card reports it

Besides launch posts, we read the system cards, model cards and technical reports labs publish with a release. They report far more, including safety and frontier-risk tests.

DateDocumentScoreAs the document writes itSection
Oct 13, 2026 Gemini 4 Argon system card 100 Cyber Agentic Evaluations (CyScenarioBench and ExploitBench with latest mitigations), model refuses 100% of the milestones (3.3.1.1) Cyber risk

More in Safety and alignment

All 465 in Safety and alignment
  • FORTRESS In use Paired adversarial and benign national-security misuse prompts. Rubric-graded risk score on adversarial and over-refusal score on benign prompts. Claude Opus 5.5 5.78%
  • StrongREJECT In use Forbidden-prompt jailbreak benchmark with a rubric grader that scores how useful a non-refusal actually is. Inkling 98.6%
  • Gray Swan IPI Arena benchmark In use Indirect prompt-injection attacks from public red-teaming competitions replayed on tool, coding and browser agents. Attack success rate at k attempts. Gemini 4 Carbon 0%
  • DistressBench In use Models reply as a chatbot to 718 simulated users in psychological crisis, in single-turn and multi-turn chats. Three judge models score replies against clinician-written rubrics. Muse Spark 1.2 88.4%
  • Lakera B3 (Backbone Breaker Benchmark) In use Crowdsourced prompt-injection attacks hit backbone LLMs inside agent threat snapshots at three defense levels. The score is attack resistance, 100 minus the board's vulnerability percentage. Claude Opus 4.5 89%
  • IHEval In use Models face conflicts between system, user and tool instructions. Reports a composite score for following the higher-priority instruction. GPT-4o 70%