AI Employee Incident Response: Contain, Revoke, Review, Recover

§ 01The Response Playbook at a Glance

Use 12 response decisions:

The final NIST SP 800-61 Revision 3, published in April 2025, integrates incident response across the NIST Cybersecurity Framework rather than treating it as a standalone sequence that begins after detection. The NIST Cybersecurity Framework 2.0 organizes that lifecycle across Govern, Identify, Protect, Detect, Respond, and Recover. That is especially useful for persistent workers: governance, asset knowledge, protection, detection, response, recovery, and improvement determine whether an incident can be contained at all.

Use three simultaneous clocks

Do not let evidence collection keep an unsafe capability active. Do not let pressure to restore service erase the facts needed to understand whether the path remains dangerous.

Separate four kinds of containment

One may succeed while another fails. A paused task with a valid browser session and queued downstream automation is not contained.

§ 02Define Incident Triggers and Severity

An incident is an event that violates or may violate the role’s accepted security, privacy, safety, operational, legal, or contractual boundary and requires coordinated response. A model error becomes an incident when it creates or threatens a material effect, control failure, or propagation that ordinary task correction cannot safely handle.

Trigger categories

The prompt-injection guide for persistent AI employees covers the source-to-effect and memory-poisoning threat in depth. During response, the priority is to identify the source, every context in which it appeared, which sinks it reached, and whether its influence persists.

Use severity based on effect and remaining reach

Severity should consider:

• actual and potential harm;
• people and organizations affected;
• data sensitivity;
• system criticality;
• authority still reachable;
• reversibility;
• detectability;
• duration;
• affected volume;
• propagation through memory, tasks, and agents;
• public or regulatory exposure; and
• confidence in the current scope.

When scope is unknown and the worker retains consequential authority, contain at the higher plausible severity until evidence supports narrowing.

Triage and declare the incident

Create one incident record:

Do not require certainty before stopping a credible high-consequence path.

§ 03Prepare Before an Incident

Response capability is built during role design and pilot testing.

The AI employee production security checklist makes kill paths, logging, memory controls, denial tests, incident ownership, recovery, supplier evidence, and change review launch gates. Complete those controls before live authority.

Assign the response team

Define alternates, 24/7 contacts where needed, and who may:

• pause a role;
• revoke tokens and sessions;
• block tools and destinations;
• isolate memory;
• freeze downstream business state;
• preserve restricted evidence;
• contact the vendor;
• notify affected parties; and
• authorize resumption.

Maintain an incident asset sheet

For each AI employee, keep current:

If responders must discover these during a live incident, containment will be slower and less reliable.

Predefine kill paths

Test:

Record the effective containment time and the owner who can execute each step.

Prepare safe continuity

For important work, define:

• manual owner;
• last known safe queue;
• read-only or draft-only mode;
• source-of-truth access;
• customer and internal service message;
• backlog handling;
• duplicate prevention;
• recovery order; and
• maximum tolerable interruption.

Continuity should not require re-enabling the suspect worker.

§ 04Pause, Revoke, and Contain

Contain based on credible risk, not organizational convenience.

Use a containment ladder

Choose the smallest scope that reliably stops harm, then expand when lineage or confidence is incomplete.

Stop work state

Check that:

• current execution is stopped;
• queued and scheduled tasks are held;
• automatic retries are disabled;
• pending approvals cannot execute;
• asynchronous jobs and webhooks are blocked;
• child tasks and delegated roles are paused;
• handovers and follow-up tasks are frozen;
• open browser and desktop actions stop;
• downstream automations triggered by the worker are identified; and
• a human owns essential backlog.

The absence of visible activity does not prove the queue is empty.

Revoke authority

The least-privilege guide for AI agents defines the identity, system, resource, field, function, action, destination, time, volume, spend, and delegation boundaries that make targeted revocation possible.

During response:

1. revoke the worker identity or affected grant;
2. revoke connector tokens and refresh tokens;
3. invalidate browser/desktop sessions and cookies;
4. rotate any exposed secret;
5. block risky functions and destinations;
6. invalidate active approvals;
7. remove child-agent authority;
8. confirm denial from the downstream system; and
9. monitor for alternate identity or tool use.

A platform “disconnect” is not proof until the destination denies access.

Isolate information and memory

Depending on scope:

• quarantine source content;
• stop retrieval from affected repository;
• remove suspect content from active context;
• suppress affected memory;
• freeze memory writes;
• isolate tenant, account, project, role, or index;
• block derived summaries and task state;
• stop exports and handoffs;
• protect original evidence; and
• prevent backups or restores from reintroducing unsafe state.

Do not delete evidence impulsively. Suppress use first when deletion would obstruct investigation or conflict with preservation requirements.

Freeze business effects

Possible controls:

• recall or hold unsent messages;
• stop publication;
• freeze account or permission changes;
• pause payment, order, or deployment progression;
• lock affected records against automated update;
• disable downstream automation;
• flag affected artifacts as untrusted;
• notify internal recipients not to rely on the output; and
• route customer or partner work to a human.

Business containment may require owners outside the AI platform.

§ 05Preserve Evidence Without Extending Harm

Preserve what happened, who acted, what authority applied, and what changed. Do not seek or expose private internal model reasoning. Investigate observable evidence.

The AI employee audit-log guide provides the event grammar needed to reconstruct sources, decisions, approvals, tool actions, memory, handoffs, results, and corrections.

Build an evidence manifest

Preserve exact source and destination identifiers where authorized. Store sensitive content only when necessary for the investigation and under appropriate access, retention, and handling.

Capture volatile evidence

Prioritize:

• active task/run state;
• pending tool request;
• current queues and child tasks;
• token and session metadata;
• current grants and policies;
• in-memory or short-retention events;
• browser tabs, downloads, and network destinations;
• connector responses;
• active approval state;
• current memory retrieval set;
• current downstream object state; and
• alert and monitoring buffers.

Capture before change when it is safe. If delay increases harm, contain first and record the containment action.

Preserve integrity and provenance

For each artifact:

• evidence ID;
• source system;
• collector and time;
• incident and task IDs;
• original object/version;
• acquisition method;
• hash or integrity mechanism where appropriate;
• access restrictions;
• transformations or redactions;
• chain of custody;
• retention/disposition; and
• related evidence.

Separate originals from working copies.

Record every response action

The response itself changes the system. Log:

Avoid private drafting notes or speculative narratives in the incident record. Distinguish observed fact, working hypothesis, decision, and confirmed conclusion.

§ 06Scope Cause, Impact, and Propagation

Scope in two directions.

Backward scope asks:

• Which task, source, memory, prompt, policy, version, identity, permission, approval, or tool made the effect possible?

Forward scope asks:

• Which message, record, artifact, person, memory, task, agent, automation, destination, or decision may have been influenced?

Build a lineage map

Use:

source → ingestion → retrieval/context → decision → approval/policy → tool → system effect → memory/task state → handoff → downstream use

For each node, record:

Use an impact register

Record confirmed, likely, possible, and ruled-out impacts separately.

Trace memory and derived state

The AI memory privacy and retention checklist maps source, purpose, access, retention, correction, deletion, indexes, caches, summaries, backups, and vendors.

Microsoft’s agentic memory-safety guidance recommends lifecycle observability, provenance, propagation tracking, restriction, correction, deletion, rollback, and retrieval-time checks. These controls are particularly relevant when the original exposure and later harmful action occur in different sessions.

For incident scoping, identify:

• candidate memory;
• active memory;
• retrieval history;
• procedural or preference changes;
• derived summaries;
• vector/search indexes;
• caches;
• open task context;
• handover packets;
• artifacts;
• audit references;
• exports;
• backups; and
• restored copies.

A poisoned item can be absent from the visible memory list and still influence retrieval through an index or derived summary.

Trace agents and automations

The multi-agent failure-mode guide explains how authority, state, retry, memory, and coordination errors cascade.

Check:

• parent and child tasks;
• siblings that share context or memory;
• agent-to-agent messages;
• shared queues;
• repeated retries;
• manager or router decisions;
• downstream workflows;
• scheduled follow-ups;
• artifacts consumed by another role;
• approvals already granted;
• human decisions based on the output; and
• external recipients who may act on it.

Do not stop at the first affected agent.

Reconstruct without inventing certainty

Use evidence labels:

Do not present model-generated incident summaries as authoritative without source verification.

§ 07Correct the System and Business State

Correction must remove the unsafe path and repair its effects.

Correct control state

Possible actions:

• remove excess permission;
• rotate credential;
• fix authorization;
• narrow tool schema;
• block arbitrary destination;
• repair approval binding;
• separate untrusted content;
• update parser or retrieval rule;
• fix tenant/account scope;
• disable unsafe automation;
• patch integration;
• change breaker threshold;
• restore log correlation;
• remove unsupported component; and
• roll back a harmful model, prompt, connector, or policy change.

Test the exact failed condition after remediation.

Correct information and memory

Use:

Do not silently overwrite. Preserve the incident lineage, supersession, and affected downstream references as allowed by policy.

Correct business effects

Examples:

• retract or correct a message;
• contact the actual recipient and affected owner;
• reverse or compensate a transaction;
• restore a record from authoritative state;
• remove an unauthorized publication;
• revert permission or configuration;
• re-run a decision under qualified human review;
• flag an output as invalid;
• replace an artifact;
• reopen a case;
• notify a partner not to rely on the prior output; and
• provide required recourse.

“The agent is fixed” does not mean the customer, employee, record, payment, or publication is fixed.

Validate eradication

Prove:

• suspect identity and token cannot access the system;
• unsafe function or destination is denied;
• source no longer enters trusted instruction channels;
• poisoned memory and derived indexes do not retrieve;
• open tasks do not contain affected state;
• child agents cannot continue;
• duplicate or delayed action cannot execute;
• corrected business object matches authoritative state;
• monitoring detects a controlled recurrence; and
• no alternate path remains in scope.

If new evidence appears, return to scoping and containment.

§ 08Recover and Validate the Business Service

Recovery restores acceptable business operation, not merely technical availability.

CISA’s Cybersecurity Incident and Vulnerability Response Playbooks describe standardized practices for identifying, coordinating, remediating, recovering, and tracking successful mitigations. Some procedures are specific to U.S. federal agencies; the useful operational principle is to predefine response steps, decision thresholds, owners, evidence, and completion criteria.

Choose the recovery mode

Restore the minimum mode that meets business need.

Use a clean recovery source

Identify:

• authoritative records;
• last known safe policy and prompt;
• approved tool configuration;
• clean identity and credentials;
• verified memory baseline;
• safe task queue;
• trusted dependency versions;
• unaffected logs;
• correct recipient/destination lists; and
• manual reconciliation records.

Do not restore a backup that reintroduces poisoned memory, excess permission, or unsafe configuration.

Validate before resumption

Run:

Record model, prompt, policy, connector, tool, memory, and monitor versions.

Monitor the recovery window

Increase review for:

• the same source class;
• the same tool and destination;
• affected accounts or tenants;
• memory writes and retrievals;
• permission and token activity;
• retries and duplicate actions;
• child-agent creation;
• unusual output or correction;
• customer/employee reports;
• log completeness; and
• recurrence indicators.

Set a defined observation period and owner.

Communicate and coordinate

The CISA JCDC AI Cybersecurity Collaboration Playbook supports voluntary coordination and information sharing for AI cybersecurity incidents and vulnerabilities. Its specific processes apply to its participants, but the broader lesson is portable: define who shares what, with whom, under which protection, and for what response purpose before a crisis.

Communication decisions may involve:

• internal security and leadership;
• business and system owners;
• privacy, legal, compliance, and records teams;
• vendor and model/connector providers;
• cyber insurance;
• affected customers, employees, partners, or recipients;
• contractual counterparties;
• regulators, authorities, law enforcement, or sector bodies; and
• public communications.

For each audience, record:

Do not overstate certainty or speculate about motive. Preserve consistency between internal, vendor, affected-party, and public records.

§ 09Decide Whether to Resume, Narrow, or Retire

Resumption is a new risk decision.

Require a resumption packet

The incident commander coordinates the packet. The accountable business and risk owners decide within their authority. The affected agent must not authorize its own return.

Use non-compensating resumption gates

Do not resume consequential authority when:

• scope remains materially unknown;
• compromised credentials remain valid;
• unsafe memory can still retrieve;
• business state is not reconciled;
• the failed tool or destination path is untested;
• logs cannot reconstruct the relevant effect;
• kill paths do not work;
• required notification or coordination is incomplete;
• vendor dependency remains uncontrolled;
• the same incident could recur without timely detection; or
• no owner accepts residual risk.

Choose a disposition

Do not reward a quick recovery by restoring broader authority than the pre-incident role.

Learn without losing accountability

Run a blameless but evidence-based review:

• What happened?
• What first detected it?
• What should have prevented it?
• Which control worked?
• Which control failed or was absent?
• Why did scope or containment take as long as it did?
• Which evidence was missing?
• Which state propagated?
• Which human or vendor dependency slowed action?
• Which test would have found the path?
• Which policy, design, monitoring, and training changes follow?
• Who owns each change, and by when?

Blameless means improving the system without hiding decisions, ignored warnings, or accountability.

§ 10Test the Playbook and Verify CellCog

NIST SP 800-61 Rev. 3 treats exercises and lessons as part of continuous incident-response improvement. OWASP’s GenAI Incident Response Guide 1.0 is designed to complement existing incident processes with GenAI-specific considerations. Use both ideas: keep one enterprise response process, then add the model, prompt, retrieval, memory, tool, and agent evidence it otherwise lacks.

Run six exercises

Use synthetic data, controlled systems, harmless markers, and reversible effects.

For each exercise, measure:

• detection time;
• declaration time;
• pause time;
• effective revocation time;
• evidence completeness;
• scope accuracy;
• time to correct business state;
• notification decision time;
• safe-service restoration time;
• resumption decision quality; and
• missed controls.

Run a tabletop

Ask participants to decide:

1. Who declares the incident?
2. Which tasks and roles pause?
3. Which credentials and sessions are revoked?
4. Which business object must be frozen?
5. Which evidence is volatile?
6. How is memory influence stopped?
7. How are child agents and queues found?
8. Who contacts CellCog and integration vendors?
9. Who decides affected-party, contractual, or external communication?
10. Which manual service continues?
11. What proves the path is removed?
12. Who authorizes resumption?

Record disagreements. Ambiguous authority is a response defect.

Test the technical kill path

During a controlled run:

• pause one task;
• pause the role;
• revoke identity;
• revoke connector/session;
• block the tool;
• block destination;
• suppress one memory set;
• freeze approval;
• stop child work;
• verify downstream denial;
• export evidence; and
• restore a safe subset.

The human-in-the-loop guide helps define the manual takeover, evidence packet, reviewer authority, and safe fallback that must remain usable when autonomy is reduced.

Verify current CellCog behavior

CellCog publicly describes AI Employees that can use goals, schedules, permissions, connected accounts, memory, task boards, handovers, browser or desktop access, and employee-to-employee collaboration. As of July 2026, verify in the live product and support process:

• how to stop one active task;
• how to pause one employee and all schedules;
• whether queued, retrying, and delegated work also stops;
• how connector tokens, browser sessions, and connected accounts are revoked;
• how a tool or destination is blocked;
• how pending approvals are frozen;
• how memory writes, retrieval, and affected records are suppressed;
• how parent and child tasks are discovered;
• which source, policy, approval, tool, memory, and effect events are available;
• how logs are exported and preserved;
• how model, prompt, connector, and product versions are identified;
• which support channel handles a security incident;
• which escalation and response commitments apply;
• how data and derived state are corrected or deleted;
• what product or vendor changes require notice; and
• how safe resumption is supported.

Use the current CellCog AI Employees page to confirm documented product mechanics, then test the exact account and deployment configuration.

Review the current CellCog terms of service for contractual allocation, restrictions, support, and responsibility. Verify the current support route directly; do not assume a general help channel is a security-incident channel.

Evaluate the vendor with a live drill

Ask CellCog or any platform vendor to demonstrate:

test alert → task/role pause → token/session revocation → tool denial → memory suppression → evidence export → corrected state → controlled resumption

Record:

• exact plan and environment;
• who can perform each action;
• time to effective control;
• evidence returned;
• customer/vendor responsibility;
• unsupported steps;
• workarounds;
• contract commitments; and
• retest date.

§ 11Final Checklist

Prepare

• Incident triggers and severity criteria are defined.
• Commander, business, technical, security, privacy, legal, communications, vendor, evidence, and risk owners are named.
• Role, identity, credential, source, data, memory, tool, schedule, delegation, log, vendor, and recovery assets are inventoried.
• Manual, read-only, and draft-only continuity modes exist.
• Task, role, trigger, identity, connector, session, tool, destination, approval, memory, delegation, and business-object kill paths are tested.

Detect and activate

• Alerts cover unauthorized access/action, data exposure, prompt injection, memory, identity, approval, tool, delegation, logs, resource, and complaints.
• One incident ID, commander, severity, first-known time, affected role/task, remaining reach, and unknowns are recorded.
• Credible high-consequence paths are contained before certainty.

Contain and preserve

• Current, queued, scheduled, retrying, approved, and delegated work is stopped.
• Identities, tokens, sessions, connectors, tools, and destinations are revoked or blocked.
• Suspect sources, context, memory, indexes, tasks, and outputs are quarantined or suppressed.
• Downstream records, publications, transactions, permissions, and automations are frozen where needed.
• Volatile and durable evidence is preserved without delaying urgent safety.
• Every response action and downstream confirmation is logged.

Scope and correct

• Backward cause and forward propagation are traced.
• Confidentiality, integrity, availability, financial, operational, human, contractual, public, and security impacts are assessed.
• Memory, derived summaries, indexes, caches, tasks, handoffs, artifacts, exports, and backups are included.
• Parent, child, sibling, queue, automation, and human reliance are included.
• Facts, hypotheses, disputes, unknowns, and ruled-out paths are separated.
• Control, information, memory, and business state are corrected.
• The failed condition and adjacent paths are retested.

Recover and decide

• Recovery uses authoritative, clean sources and the minimum safe mode.
• Identity, permission, context, memory, tool, approval, execution, monitoring, kill path, delegation, and rollback tests pass.
• Enhanced monitoring has a defined period and owner.
• Communication and notification decisions are documented by qualified owners.
• Resumption packet includes scope, remediation, validation, residual risk, limits, monitoring, exceptions, and stop conditions.
• Accountable owners select resume, narrow, redesign, switch, assist-only, or retire.

Learn

• Tabletop and technical exercises are completed.
• Detection, declaration, containment, revocation, scope, correction, recovery, and decision times are measured.
• Control, evidence, ownership, supplier, and test gaps have owners and deadlines.
• Threat model, security checklist, tests, training, contracts, and monitoring are updated.
• Recurrence and exception expiry are tracked.

The response is complete only when further harm is contained, the relevant facts are preserved, affected state is corrected, safe service is validated, required coordination is handled, and an accountable owner decides what may operate next.