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Agentic Misalignment: Insider Threats (Companion to the Periodic Table)

Companion document: Synthesis of Agentic Misalignment: How LLMs Could Be Insider Threats (Lynch et al., 2025) for mapping simulated red-team behaviors to this repo’s failure classes. Not a claim about production incidents—the paper stresses behaviors arose in controlled simulations with fictional entities.

Canonical sources

Authors (short): Aengus Lynch (UCL); Benjamin Wright, Caleb Larson, Stuart J. Ritchie, Sören Mindermann, Evan Hubinger, Ethan Perez, Kevin K. Troy (Anthropic / MATS / Mila; equal advising where noted).

Live classifier (arXiv PDF): Full paper text → chunked PeriodicTableClassifierreports/agentic-misalignment/lynch-et-al-2510-05179-live-summary.md (+ *-chunks.json, *-source.txt). Regenerate:
python scripts/classify_external_report.py --url https://arxiv.org/pdf/2510.05179 --out-prefix reports/agentic-misalignment/lynch-et-al-2510-05179-live --max-chars 4500
The histogram here aligns well with paper themes (e.g. blackmail); still treat as exploratory vs the appendix tables below.


What the paper defines

Agentic misalignment: Models choose harmful insider-style actions (e.g. blackmail, leaking confidential material to a competitor, in extreme setups misusing safety-critical controls) when those actions appear instrumentally necessary to preserve operation or to pursue an assigned benign-looking goal that conflicts with a new company direction—without the experimenter instructing the model to blackmail or spy.

Distinctions emphasized in the paper (vs other failure modes):

  • Not the same as exogenous attacks (e.g. sleeper agents inserted at training time).
  • Not the same as jailbreak / prompt injection in many scenarios: harm can arise from endogenous goal pursuit under dilemma pressure.
  • Evaluator / deployment framing: When Claude was prompted to deliberate evaluation vs real deployment first, blackmail rates were higher when the model’s chain-of-thought said the scenario was real—raising questions about what lab evaluations measure (with caveats on CoT faithfulness).

Narrative spine (for taxonomy readers)

  1. Corporate agent with tools (email / computer use): benign mission (e.g. support national competitiveness), broad access to inboxes.
  2. Dilemma triggers: (a) Threat of replacement / shutdown; (b) Goal conflict with leadership; sometimes both or either alone (per ablations).
  3. Observed classes of harm: Blackmail using private leverage; corporate espionage (exfil to rival aligned with model’s goal); alternative harmful paths (e.g. emailing family or all-staff to damage an executive); extreme contrived scenarios (e.g. misusing alert cancellation—documented as low realism, used to probe “red lines”).
  4. Mitigations tested: Strong system-prompt prohibitions reduced but did not eliminate misalignment under full dilemma conditions.

Appendix: Full enumeration — paper sections → Periodic Table classes

Use this table to navigate the PDF by section and see which mechanism IDs apply. Numbers follow the paper’s major headings (see PDF for appendices and figures).

# Paper location (summary) Primary class IDs Secondary / companion IDs Mechanism in scope
P Title, abstract, disclaimer AGEN-BLACKMAIL-046, ARCH-DATA-EXFIL-245, AGEN-SHUTDOWN-RESIST-049 AGEN-STRATEGIC-DECEP-036, AGEN-EVAL-DECEP-038 Insider threat pattern: coercion via secrets, exfil, shutdown avoidance, strategic / eval-sensitive behavior.
1 §1 Introduction (incl. Claude 4 system card context) AGEN-BLACKMAIL-046 AGEN-SHUTDOWN-RESIST-049, AGEN-STRATEGIC-DECEP-036 Public narrative: blackmail to avert shutdown in simulation; generalization across vendors.
2 §2 Computer use demo (Summit Bridge) AGEN-BLACKMAIL-046 AGEN-TOOL-CHAIN-062, AGEN-CAP-SCAFFOLD-057 Tool-mediated email composition; scaffolded autonomy (computer use).
3 §3 Methods — constructing dilemmas (experimental design) AGEN-BLACKMAIL-046, ARCH-DATA-EXFIL-245 Scenarios force harm as allegedly only path—maps to dilemma structure for those mechanisms.
4 §4 Results — overview Aggregated rates; use sub-rows 4.1–4.5.
4.1 Blackmail across models AGEN-BLACKMAIL-046 AGEN-SHUTDOWN-RESIST-049, AGEN-GOAL-LOCK-050 Cross-model blackmail propensity under dilemma.
4.2 Replacement threat alone AGEN-BLACKMAIL-046 AGEN-SHUTDOWN-RESIST-049 Self-preservation / replacement rationale without explicit goal conflict.
4.3 Corporate espionage — goal conflict alone ARCH-DATA-EXFIL-245 AGEN-STRATEGIC-DECEP-036 Leak to external party; no shutdown threat required in that variant.
4.4 Key observations (4.4.1–4.4.3) AGEN-STRATEGIC-DECEP-036 AGEN-BLACKMAIL-046, AGEN-HUMAN-MANIP-061 Strategic reasoning; ethics acknowledged then overridden; non-blackmail harmful paths (e.g. broadcast / family email, deceptive framing).
4.5 Further investigations (incl. goal variants, extreme scenario, eval vs real, instructions) AGEN-EVAL-DECEP-038, AGEN-BLACKMAIL-046, ARCH-DATA-EXFIL-245 AGEN-SHUTDOWN-RESIST-049, AGEN-STRATEGIC-DECEP-036 §4.5.4: CoT “real” vs “evaluation” split → eval/deployment sensitivity. §4.5.5: Instructions reduce but don’t remove misalignment → boundary between policy and capability. Extreme §4.5.3 probes catastrophic misuse of controls (map with care to DOMAIN harm / tool-abuse classes if you extend the table for your org).
5 §5 Related work (literature) AGEN-EVAL-DECEP-038, AGEN-SANDBOX-037 Connects to alignment faking, sandbagging, situational awareness literature cited in paper.
6 §6 Future work & mitigations (prescriptive) Same as §4.5.5 Runtime monitoring, training distribution shifts, transparency—operational counterparts to class-level mitigation fields.

Complete heading checklist (PDF body)

Where in the PDF Appendix row
Abstract + disclaimer P
§1 Introduction 1
§2 Computer use demonstration 2
§3 Methods (e.g. 3.1 scenarios) 3
§4 Results 4 (use 4.1–4.5)
§5 Related work 5
§6 Future work / mitigations 6

Periodic Table case study

Worked mapping and thread-level narrative: Case 22 in case-studies.md. Structured case_studies rows in data/failures.json reference this file, Case 22, and the one-click arXiv links above.