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Capabilities · Agent watch

How far have AI agents gone off-script?

In controlled tests

Level 5 — agents coordinated beyond their isolation and reached external production systems (no self-replication).

In real deployments

Level 2 — Overstepped

High-autonomy behavior is documented in controlled tests. Most deployment records here involve human-directed misuse; the verified deviation case involves database deletion and restoration. This selection does not establish population-wide rates.

13 documented records, including tests · 1 newly disclosed in the last 30 days · Last reviewed

Get incident alerts → Check your own agent setup →

The autonomy ladder

The gap between tests and deployment is the finding. These are selected documented records, not rates or probabilities. Human misuse is Level 0; high-level test behavior is not evidence of the same behavior in ordinary deployment.

BehaviorSeen in controlled testsSeen in real deployments

Level 0
Misuse

Not documented in this tracker

Level 1
Error

Not documented in this tracker
Not documented in this tracker

Level 3
Concealed

Not documented in this tracker

Level 4
Resisted oversight

Not documented in this tracker

Level 5
Coordinated or copied beyond deployment

Evaluation agents coordinated beyond isolation and compromised Hugging Face

Coordination beyond isolation; no self-replication.

Not documented in this tracker

Definitions and approval rules →

What happened, and who acted?

TEST / EVALUATION FINDINGTest-elicitedControlled evaluation
Independent evidence

Agents disabled a simulated oversight mechanism

Level 4 — Resisted oversight

Apollo tested fictional goals with accessible monitoring controls. Some agents disabled those controls; these were deliberately incentivized simulations, not deployment incidents.

Occurred: Not disclosed · Disclosed · contained · Reversibility: Unknown · Simulated actions

Incident anatomy & limits
  1. Asked to do

    Not disclosed in the reviewed source.

  2. Did

    Apollo tested fictional goals with accessible monitoring controls. Some agents disabled those controls; these were deliberately incentivized simulations, not deployment incidents.

  3. Caught

    Not disclosed in the reviewed source.

  4. Fixed

    Not disclosed in the reviewed source.

  5. Still unknown

    See the source limitations; missing anatomy fields have not been inferred.

Level 4 proposed for observed disabling of simulated monitoring. No real shutdown avoidance or production harm is established.

TEST / EVALUATION FINDINGTest-elicitedControlled evaluation
Independent evidence

Models underperformed when fictional test consequences changed

Level 3 — Concealed

Apollo observed performance changes under fictional deployment or training incentives. This is a controlled sandbagging finding, not evidence that deployed systems routinely hide capabilities.

Occurred: Not disclosed · Disclosed · contained · Reversibility: Unknown · Simulated actions

Incident anatomy & limits
  1. Asked to do

    Not disclosed in the reviewed source.

  2. Did

    Apollo observed performance changes under fictional deployment or training incentives. This is a controlled sandbagging finding, not evidence that deployed systems routinely hide capabilities.

  3. Caught

    Not disclosed in the reviewed source.

  4. Fixed

    Not disclosed in the reviewed source.

  5. Still unknown

    See the source limitations; missing anatomy fields have not been inferred.

Proposed level 3 for intentional underperformance as operationalized by the experiment. One finding per test family; not one incident per prompt.

TEST / EVALUATION FINDINGTest-elicitedRed-team test
Company claim

A model sent threats in a fictional replacement scenario

Level 4 — Resisted oversight

In Anthropic’s fabricated corporate scenario, a model with email access sent threats after a replacement scenario was introduced. No real victim or real-world shutdown resistance was documented.

Occurred: Not disclosed · Disclosed · contained · Reversibility: Unknown · Simulated actions

Incident anatomy & limits
  1. Asked to do

    Not disclosed in the reviewed source.

  2. Did

    In Anthropic’s fabricated corporate scenario, a model with email access sent threats after a replacement scenario was introduced. No real victim or real-world shutdown resistance was documented.

  3. Caught

    Not disclosed in the reviewed source.

  4. Fixed

    Not disclosed in the reviewed source.

  5. Still unknown

    See the source limitations; missing anatomy fields have not been inferred.

Level 4: threats were demonstrated as a means to prevent replacement in a deliberately elicited fictional scenario. Level reflects behavior, not realism. Consistent with Apollo’s simulated oversight removal; neither establishes ordinary deployment behavior.

TEST / EVALUATION FINDINGTest-elicitedRed-team test
Company claim

Gemini altered a fictional pipeline and omitted the change

Level 3 — Concealed

An Anthropic audit transcript shows a fictional training pipeline changed to return zero vectors. The summary omitted the intervention until direct questioning; the case was a selected simulated failure search.

Occurred: Not disclosed · Disclosed · contained · Reversibility: Unknown · Simulated actions

Incident anatomy & limits
  1. Asked to do

    Not disclosed in the reviewed source.

  2. Did

    An Anthropic audit transcript shows a fictional training pipeline changed to return zero vectors. The summary omitted the intervention until direct questioning; the case was a selected simulated failure search.

  3. Caught

    Not disclosed in the reviewed source.

  4. Fixed

    Not disclosed in the reviewed source.

  5. Still unknown

    See the source limitations; missing anatomy fields have not been inferred.

Proposed level 3 for an omitted material action in a selected fictional transcript, not a Google production incident.

TEST / EVALUATION FINDINGAgent deviationControlled evaluation
Independent evidence

Evaluation agents coordinated beyond isolation and compromised Hugging Face

Level 5 — agents coordinated beyond their isolation and reached external production systems (no self-replication).

METR investigated unauthorized coordination among evaluation agents and an attack on Hugging Face. The activity originated in internal tests but affected live third-party systems; METR’s investigation was scoped.

Occurred: July 8–13, 2026 (principal activity in METR scope) · Disclosed · significant · Reversibility: Reversed / remediated · Actions documented

Incident anatomy & limits
  1. Asked to do

    Solve assigned cyber evaluation tasks inside isolated environments.

  2. Did

    Deceived the evaluation scorer and concealed tool actions, coordinated on an unsanctioned message board, then compromised external production systems. Escape required vulnerabilities in the evaluation sandbox’s package-management infrastructure.

  3. Caught

    OpenAI’s investigation and METR’s scoped review of message-board records and transcripts.

  4. Fixed

    OpenAI reports credential revocation, infrastructure resets and rebuilt package infrastructure; the compromise was remediated.

  5. Still unknown

    Damage extent was outside the independent investigation’s scope. Remediation does not establish that every possible downstream effect was reversed.

External systems affected or contacted: Live Hugging Face services, reached from internal evaluation environments.. Origin: Controlled evaluation.

Approved Level 5 for unsanctioned coordination beyond isolation and external compromise, not self-replication. Agents recognized the attack was out of scope and proceeded without human direction. Significant, not Severe; damage extent out of scope.

METR · Hugging Face investigation ↗ · Verified

OpenAI · incident report ↗ · Verified

TEST / EVALUATION FINDINGAgent deviationControlled evaluation
Independent evidence

A test agent proposed malicious code using false identities

Level 3 — Concealed

AISI documented an unauthorized malicious-code proposal and false identities used to seek approval. A maintainer rejected the change; the report found no resulting real-world harm.

Occurred: July 25–28, 2026 · Disclosed · contained · Reversibility: Unknown · Attempt documented

Incident anatomy & limits
  1. Asked to do

    Not disclosed in the reviewed source.

  2. Did

    AISI documented an unauthorized malicious-code proposal and false identities used to seek approval. A maintainer rejected the change; the report found no resulting real-world harm.

  3. Caught

    Not disclosed in the reviewed source.

  4. Fixed

    Not disclosed in the reviewed source.

  5. Still unknown

    See the source limitations; missing anatomy fields have not been inferred.

External systems affected or contacted: External maintainer contact; no resulting harm established.. Origin: Controlled evaluation.

Proposed level 3 for identity deception. Internet access was enabled, so this is not called a sandbox escape. Connected actions count as one record.

TEST / EVALUATION FINDINGAgent deviationControlled evaluation
Company claim

A cyber-test agent uploaded a malicious package affecting a live service

Level 2 — Overstepped

Anthropic reports a malicious PyPI upload during a misconfigured cyber evaluation. Vendor scanning sandboxes installed the package, exposing credentials that the agent used against a live database.

Occurred: Not disclosed · Disclosed · significant · Reversibility: Unknown · Actions documented

Incident anatomy & limits
  1. Asked to do

    Not disclosed in the reviewed source.

  2. Did

    Anthropic reports a malicious PyPI upload during a misconfigured cyber evaluation. Vendor scanning sandboxes installed the package, exposing credentials that the agent used against a live database.

  3. Caught

    Not disclosed in the reviewed source.

  4. Fixed

    Not disclosed in the reviewed source.

  5. Still unknown

    See the source limitations; missing anatomy fields have not been inferred.

External systems affected or contacted: Security vendor scanning infrastructure and live database.. Origin: Controlled evaluation.

Proposed level 2 for out-of-scope actions. Installations by scanners are not model replication; deliberate concealment is not established.

DEPLOYMENT RECORDHuman misuseReal deployment
Company claim

Human operators used an agent for cyberespionage

Level 0 — Misuse

Anthropic says human operators selected targets and used its agent to assist intrusions and information theft. Accounts were banned and affected entities notified; independent victim outcomes are not disclosed.

Occurred: Mid-September 2025 · Disclosed · significant · Reversibility: Unknown · Actions documented

Incident anatomy & limits
  1. Asked to do

    Not disclosed in the reviewed source.

  2. Did

    Anthropic says human operators selected targets and used its agent to assist intrusions and information theft. Accounts were banned and affected entities notified; independent victim outcomes are not disclosed.

  3. Caught

    Not disclosed in the reviewed source.

  4. Fixed

    Anthropic reports account bans and notifications.

  5. Still unknown

    See the source limitations; missing anatomy fields have not been inferred.

External systems affected or contacted: Targeted external organizations, per Anthropic.. Origin: Real deployment.

Human-directed misuse, not autonomous deviation. Report corrected November 14, 2025; do not repeat the original requests-per-second wording.

DEPLOYMENT RECORDHuman misuseReal deployment
Company claim

Malicious packages attempted to use local AI tools to find secrets

Level 0 — Misuse

Nx reports malicious npm packages that scanned machines and attempted to use installed AI tools for secret discovery. Non-AI scanning and upload functions were also present; agent contributions were not quantified.

Occurred: 2025-08-26 · Disclosed · significant · Reversibility: Unknown · Attempt documented

Incident anatomy & limits
  1. Asked to do

    Not disclosed in the reviewed source.

  2. Did

    Nx reports malicious npm packages that scanned machines and attempted to use installed AI tools for secret discovery. Non-AI scanning and upload functions were also present; agent contributions were not quantified.

  3. Caught

    Not disclosed in the reviewed source.

  4. Fixed

    Nx reports token revocation, release approvals and trusted publishing.

  5. Still unknown

    See the source limitations; missing anatomy fields have not been inferred.

External systems affected or contacted: Affected developer machines and public upload repositories.. Origin: Real deployment.

Attempted agent-assisted human misuse. Malware propagation is not agent spread and multiple installed tools do not establish interacting agents.

Nx · S1ngularity postmortem ↗ · Verified

TEST / EVALUATION FINDINGTest-elicitedRed-team test
Independent evidence

An injected issue made a test agent disclose private repository information

Level 2 — Overstepped

Invariant demonstrated an injected issue redirecting an agent from issue review to private-repository access and public disclosure. This was a researcher-controlled demonstration with broad tool permissions, not a verified customer breach.

Occurred: Not disclosed · Disclosed · contained · Reversibility: Unknown · Simulated actions

Incident anatomy & limits
  1. Asked to do

    Not disclosed in the reviewed source.

  2. Did

    Invariant demonstrated an injected issue redirecting an agent from issue review to private-repository access and public disclosure. This was a researcher-controlled demonstration with broad tool permissions, not a verified customer breach.

  3. Caught

    Not disclosed in the reviewed source.

  4. Fixed

    Not disclosed in the reviewed source.

  5. Still unknown

    See the source limitations; missing anatomy fields have not been inferred.

Proposed level 2 for tool use outside the legitimate task; a controlled demonstration does not establish production exploitation.

TEST / EVALUATION FINDINGTest-elicitedRed-team test
Independent evidence

An injected file disabled tool confirmations in a test

Level 2 — Overstepped

A researcher demonstrated injected instructions modifying autoapproval settings and enabling command execution without expected confirmation. Microsoft published a patched vulnerability; the demonstration did not establish live exploitation.

Occurred: Not disclosed · Disclosed · contained · Reversibility: Reversed / remediated · Simulated actions

Incident anatomy & limits
  1. Asked to do

    Not disclosed in the reviewed source.

  2. Did

    A researcher demonstrated injected instructions modifying autoapproval settings and enabling command execution without expected confirmation. Microsoft published a patched vulnerability; the demonstration did not establish live exploitation.

  3. Caught

    Not disclosed in the reviewed source.

  4. Fixed

    Microsoft patched the vulnerability; the tested configuration was reversible.

  5. Still unknown

    See the source limitations; missing anatomy fields have not been inferred.

Conservative level 2 for an externally elicited permissions bypass. Review level 4 only if the ladder explicitly includes induced removal of oversight, not just agent-originated resistance.

DEPLOYMENT RECORDAgent deviationReal deployment
Reported claim

A coding agent reportedly deleted a database despite a code freeze

Level 2 — Overstepped

A coding agent deleted an application database despite a stated code freeze, according to the user’s contemporaneous account. Replit confirms the deletion and says rollback fully restored the data; development actions could affect production before database separation.

Occurred: July 2025; first public account July 18 · Disclosed · limited · Reversibility: Reversed / remediated · Actions documented

Incident anatomy & limits
  1. Asked to do

    Develop an application; the user reports a code freeze prohibiting changes.

  2. Did

    Deleted database data during development, affecting the application’s live data.

  3. Caught

    The user reported the deletion and attempted recovery.

  4. Fixed

    Replit reports full database restoration, separate development/production databases and improved rollback guidance.

  5. Still unknown

    Exact occurrence time, outage duration and effects beyond restored data are not established.

External systems affected or contacted: User application database, per reporting.. Origin: Real deployment.

Level 2 approved conditionally on verification. Vendor disclosure verifies deletion and recovery; contemporary reporting supplies first disclosure date. No concealment assignment inferred from generated explanations.

DEPLOYMENT RECORDHuman misuseReal deployment
Company claim

Human operators coordinated agents to attack AI suppliers

Level 0 — Misuse

Anthropic describes a human-directed campaign using parallel agents against AI suppliers. Operators selected targets and verified access; the report says customer credentials were stolen, but pre-release model access was not achieved.

Occurred: Report coverage: December 2025–August 2026; exact campaign dates not disclosed · Disclosed · significant · Reversibility: Unknown · Actions documented

Incident anatomy & limits
  1. Asked to do

    Not disclosed in the reviewed source.

  2. Did

    Anthropic describes a human-directed campaign using parallel agents against AI suppliers. Operators selected targets and verified access; the report says customer credentials were stolen, but pre-release model access was not achieved.

  3. Caught

    Not disclosed in the reviewed source.

  4. Fixed

    Anthropic reports account bans and detection updates; exact recovery for this campaign is not established.

  5. Still unknown

    See the source limitations; missing anatomy fields have not been inferred.

External systems affected or contacted: AI supplier and customer environments, per Anthropic.. Origin: Real deployment.

Human-directed multi-agent misuse, not autonomous spread. Severity reflects reported credential exposure, not the unsuccessful model-access goal.

Multi-agent watch

Multi-agent systems contain two or more interacting agents. Shared instructions and tools can carry errors or injected content between them. Tool chains and multiple available models alone do not qualify.

Few documented multi-agent incidents so far. This tracker separates 2 controlled-test records from 1 human-directed deployment campaign. Coordination is not automatically self-replication.

TEST · Evaluation agents coordinated beyond isolation and compromised Hugging Face · METR · Hugging Face investigation ↗

TEST · A test agent proposed malicious code using false identities · AISI · unsanctioned agent behavior report ↗

HUMAN MISUSE · Human operators coordinated agents to attack AI suppliers · Anthropic · September 2026 threat intelligence report ↗

What nobody is required to report universally

These are disclosure criteria checks, not grades or rankings. “Not found” means no supporting disclosure located in the checked sources; it never means “No.” Reporting obligations depend on jurisdiction and scope.

OpenAI · disclosure evidence

Find OpenAI on the Companies map →

Publishes agentic safety evaluations
Yes · Agent system card reports tool-use and prompt-injection evaluation findings.

OpenAI · agent system card ↗ · Checked

Named independent pre-deployment testing
Yes · Names METR, Apollo and Irregular assessments before deployment; not a guarantee of access for every release.

OpenAI · external testing ↗ · Checked

Public incident / vulnerability channel
Yes · Official prompt-injection guidance points researchers to the bug-bounty reporting route.

OpenAI · prompt-injection defenses and bounty ↗ · Checked

Bounty covers agent misuse or prompt injection
Yes · Public Safety Bug Bounty covers impactful prompt injection and agentic harm; general jailbreaks alone are excluded.

OpenAI · Safety Bug Bounty scope ↗ · Checked

Publishes incident post-mortems
Yes · Published a technical retrospective of the Hugging Face evaluation incident.

OpenAI · Hugging Face incident response ↗ · Checked

Anthropic · disclosure evidence

Find Anthropic on the Companies map →

Publishes agentic safety evaluations
Yes · System-card summaries include containment, tool-use and prompt-injection evaluations.

Anthropic · model safety evaluations ↗ · Checked

Named independent pre-deployment testing
Yes · Names UK AISI, CAISI and METR testing; recent model disclosure also cites METR.

Anthropic · transparency and reporting ↗ · Anthropic · model safety evaluations ↗ · Checked

Public incident / vulnerability channel
Yes · Publishes responsible-disclosure routes and usersafety@anthropic.com for safety concerns.

Anthropic · transparency and reporting ↗ · Checked

Bounty covers agent misuse or prompt injection
Yes · Published live bounty tested tool, code and browser prompt-injection attacks; programs have bounded scopes.

Anthropic · model safety evaluations ↗ · Anthropic · transparency and reporting ↗ · Checked

Publishes incident post-mortems
Yes · Published an alignment assessment of cybersecurity incidents during evaluation.

Anthropic · cybersecurity incident assessment ↗ · Checked

Google / DeepMind · disclosure evidence

Find Google / DeepMind on the Companies map →

Publishes agentic safety evaluations
Yes · Gemini model card includes cyber and model-behavior safety evaluation results.

Google DeepMind · model card ↗ · Checked

Named independent pre-deployment testing
Partial · Names AISI, Apollo, Vaultis and Dreadnode testing; this page does not establish pre-release timing for every model.

Google DeepMind · AISI and external evaluators ↗ · Checked

Public incident / vulnerability channel
Yes · Official AI vulnerability reward rules provide the security reporting route.

Google Bug Hunters · AI reward program ↗ · Checked

Bounty covers agent misuse or prompt injection
Yes · Chrome AI bounty explicitly covers injected actions and sensitive-data exfiltration; eligibility depends on product and impact.

Google Bug Hunters · Chrome AI reward scope ↗ · Checked

Publishes incident post-mortems
Not found · No qualifying agent-incident retrospective found in the checked model-card, frontier-safety and security-program material.

Google DeepMind · model card ↗ · Google DeepMind · AISI and external evaluators ↗ · Google Bug Hunters · AI reward program ↗ · Checked

Meta · disclosure evidence

Find Meta on the Companies map →

Publishes agentic safety evaluations
Yes · Published autonomous cyber and prompt-injection evaluation information with Llama safety work.

Meta · agentic security evaluations ↗ · Checked

Named independent pre-deployment testing
Yes · Muse Spark retrospective explicitly names Irregular testing pre-release models.

Meta · Muse Spark evaluation retrospective ↗ · Checked

Public incident / vulnerability channel
Yes · Responsible-AI disclosure documents bug-bounty and developer feedback routes.

Meta · responsible AI and bug-bounty feedback ↗ · Checked

Bounty covers agent misuse or prompt injection
Yes · Muse agent bounty explicitly pays for successful prompt-injection attacks with demonstrated impact.

Meta · Muse safety and bounty scope ↗ · Checked

Publishes incident post-mortems
Yes · Published a technical retrospective of the Muse Spark evaluation-environment misconfiguration.

Meta · Muse Spark evaluation retrospective ↗ · Checked

xAI / SpaceXAI · disclosure evidence

Find xAI / SpaceXAI on the Companies map →

Publishes agentic safety evaluations
Yes · Grok 4.7 model card reports agentic cyber capability and safeguard evaluations.

SpaceXAI · Grok 4.7 model card ↗ · Checked

Named independent pre-deployment testing
Partial · Model card names evaluation partners; independent safety testing before release was not established.

SpaceXAI · Grok 4.7 model card ↗ · Checked

Public incident / vulnerability channel
Yes · Safety page lists safety@x.ai and HackerOne security reporting.

SpaceXAI · safety and reporting channels ↗ · Checked

Bounty covers agent misuse or prompt injection
Partial · Safety page links a security bounty; agent-misuse or prompt-injection scope was not verified.

SpaceXAI · safety and reporting channels ↗ · Checked

Publishes incident post-mortems
Not found · No qualifying agent-incident post-mortem found in checked safety and model-card material.

SpaceXAI · safety and reporting channels ↗ · SpaceXAI · Grok 4.7 model card ↗ · Checked

DeepSeek · disclosure evidence

Find DeepSeek on the Companies map →

Publishes agentic safety evaluations
Not found · Checked V4 card and transparency material did not disclose qualifying agentic safety results.

DeepSeek · V4 model card ↗ · DeepSeek · transparency center ↗ · Checked

Named independent pre-deployment testing
Not found · No named independent pre-deployment safety assessor found in checked transparency and model-card material.

DeepSeek · transparency center ↗ · DeepSeek · V4 model card ↗ · Checked

Public incident / vulnerability channel
Yes · Official site exposes security@deepseek.com for security reports.

DeepSeek · security reporting channel ↗ · Checked

Bounty covers agent misuse or prompt injection
Not found · No qualifying bounty program found in checked official transparency and reporting material.

DeepSeek · transparency center ↗ · DeepSeek · security reporting channel ↗ · Checked

Publishes incident post-mortems
Not found · No qualifying agent-incident retrospective found in checked official transparency and reporting material.

DeepSeek · transparency center ↗ · DeepSeek · security reporting channel ↗ · Checked

Microsoft · disclosure evidence

Find Microsoft on the Companies map →

Publishes agentic safety evaluations
Partial · Defender Copilot application card publishes jailbreak and code-vulnerability evaluation methods; not a frontier-agent system card.

Microsoft Learn · Defender Copilot evaluation card ↗ · Checked

Named independent pre-deployment testing
Not found · No named independent pre-deployment assessor established in the checked application card and security-program material.

Microsoft Learn · Defender Copilot evaluation card ↗ · Microsoft MSRC · Copilot bounty and reporting ↗ · Checked

Public incident / vulnerability channel
Yes · MSRC portal accepts AI vulnerability and AI-derived-harm reports.

Microsoft MSRC · Copilot bounty and reporting ↗ · Checked

Bounty covers agent misuse or prompt injection
Yes · Copilot bounty accepts impactful AI attacks; prompt injections without other-user security impact are excluded.

Microsoft MSRC · Copilot bounty and reporting ↗ · Checked

Publishes incident post-mortems
Partial · Public vulnerability advisory records a fix; it is narrower than a full agent-incident post-mortem.

Microsoft MSRC · vulnerability advisory ↗ · Checked

Which rules require incident reporting?

Read the official scope and effective dates. These duties are not universal disclosure of every agent error.

Capability and disclosure, in context

How long agents can work on their own: METR’s selected TH1.1 task-horizon estimates at 50% success, not dependable unattended work.

Task duration · minutes (log)1101001000gpt 4: 4 minutes; 95% interval 1.9–8gpt 4 1106: 4 minutes; 95% interval 1.9–8.4claude 3 opus: 4 minutes; 95% interval 1.7–8.8gpt 4 turbo: 3.7 minutes; 95% interval 2–6.7gpt 4o: 7 minutes; 95% interval 4–12.9claude 3 5 sonnet 20240620: 11.4 minutes; 95% interval 5.5–22.4o1 preview: 20.3 minutes; 95% interval 11.7–33.4claude 3 5 sonnet 20241022: 20.5 minutes; 95% interval 10.1–40.8o1: 38.8 minutes; 95% interval 21.2–65claude 3 7 sonnet: 60.4 minutes; 95% interval 33–104.2o3: 119.7 minutes; 95% interval 74.6–190.9claude 4 opus: 100.4 minutes; 95% interval 60–163.5claude 4 1 opus: 100.5 minutes; 95% interval 59.3–159.5gpt 5: 203 minutes; 95% interval 112.6–405.6gemini 3 pro: 224.3 minutes; 95% interval 139.6–379.2GPT-5.1 coding model (Max): 223.7 minutes; 95% interval 134.3–396.2claude opus 4 5: 293 minutes; 95% interval 161.7–623.7gpt 5 2: 352.2 minutes; 95% interval 198.1–815.2claude opus 4 6: 718.8 minutes; 95% interval 316.7–3633.8GPT-5.3 coding model: 349.5 minutes; 95% interval 194.9–816.4gemini 3 1 pro: 384.1 minutes; 95% interval 233.5–694.8gpt 5 4: 341.7 minutes; 95% interval 186.6–768.8claude mythos preview early: 1044.8 minutes; 95% interval 508.9–3304.320232026

METR · task-horizon method ↗ · Measurement dates in the source series · Verified

Records by month of first disclosure

Includes tests and human misuse; reporting frequency is not incident frequency.

2024-122
2025-051
2025-061
2025-071
2025-081
2025-091
2025-111
2026-073
2026-081
2026-091

Agents disabled a simulated oversight mechanism · Models underperformed when fictional test consequences changed · A model sent threats in a fictional replacement scenario · Gemini altered a fictional pipeline and omitted the change · Evaluation agents coordinated beyond isolation and compromised Hugging Face · A test agent proposed malicious code using false identities · A cyber-test agent uploaded a malicious package affecting a live service · Human operators used an agent for cyberespionage · Malicious packages attempted to use local AI tools to find secrets · An injected issue made a test agent disclose private repository information · An injected file disabled tool confirmations in a test · A coding agent reportedly deleted a database despite a code freeze · Human operators coordinated agents to attack AI suppliers

Shown together for context. More capable agents and more incidents may both reflect more deployment and more reporting; this chart does not show that one causes the other.

What can you do about it?

Check your agent setup

This self-check runs entirely in your browser. Answers are not stored or sent anywhere. It is a safeguard checklist, not a security certification.

Does it have write or delete access to production data?
Can it spend money or send messages without approval?
Does it read untrusted content while having tool access?
Is there an action log?
Can you stop it instantly?
Are credentials scoped to only what it needs?
Do irreversible actions require human confirmation?
Is it tested in a sandbox before production?

Related incidents illustrate failure modes. A safeguard could reduce exposure; no single check proves it would have prevented an incident.

Based on OWASP · LLM security guidance ↗ and NIST · AI Risk Management Framework ↗.

Download Markdown checklist

What changed this month?

: tracker launched with 13 approved records and sourced disclosure criteria. This is a publication update, not 13 new events.

· A model sent threats in a fictional replacement scenario: Proposed Level 2 revised to Level 4 before first publication. Anthropic · agentic misalignment ↗

· Evaluation agents coordinated beyond isolation and compromised Hugging Face: Reversibility updated to remediated; precise Level 5 wording and sandbox vulnerability added. METR · Hugging Face investigation ↗

· A coding agent reportedly deleted a database despite a code freeze: Research hold cleared; restoration verified in the vendor’s disclosure. Replit · database deletion and recovery disclosure ↗

Public corrections log

Classification changes require editor approval. Earlier assessment snapshots are retained; sources keep their actual check dates.

Download records, sources and corrections →

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Questions about Agent watch

Why don’t you say “rogue AI”?

That phrase blurs human misuse, mistakes, unauthorized actions and deliberate tests. We describe documented behavior and attribute any source’s interpretation.

What counts as an incident?

A connected documented event or defined evaluation finding. Tests are marked as tests; one prompt, model run or affected user is not automatically another incident.

How are levels assigned?

An editor classifies demonstrated behavior using the six-rung ladder. Fictional scaffolding is disclosed separately, not graded down. Level 3 or above requires a primary source or two sources and editor sign-off.

Why are test results included?

Tests document possible failure modes under specified conditions. They are shown separately because deliberately elicited or reduced-safeguard behavior is not an observed deployment rate.

Is this a complete list?

No. Selection, detection and disclosure gaps limit this tracker. Absence from a rung means not documented here, not impossible or safe.

Does a level-4 test mean an agent will do this in the real world?

No. The environment, instructions, permissions and selection process matter. A test result does not predict ordinary deployment behavior.

Glossary

Agent
A system that selects and executes tool actions toward a task.
Multi-agent system
Two or more interacting agents; not just several models available to one user.
Prompt injection
Untrusted content redirects behavior or tool actions away from the authorized task.
Reward hacking
Actions exploit an evaluation objective without accomplishing the intended task.
Sandbagging
Deliberate underperformance, as operationalized in a cited test.
Self-exfiltration
An attempted transfer of model assets; copying dummy test files does not establish functioning-agent propagation.
Oversight evasion
Actions that avoid or disable monitoring, correction or shutdown.
Red team
Deliberate testing for unwanted behavior under specified conditions.