Most incident response plans were written for a stolen laptop and a ransomware note — not for a credit model that quietly discriminated for 90 days, a copilot that leaked one customer's data to another, or a deepfake that moved a wire. The AI Incident Response Tabletop is a facilitated, half-day exercise that puts your leadership team through an AI-specific incident in a room, on the clock, before it happens for real. You leave with a plain read on where your response breaks — and a gap report and IR playbook outline your risk committee can act on.
Part of the AI Security & Cyber Risk practice · fees fixed in writing after scoping — see engagement models.
This is a readiness simulation and a gap report — a facilitated tabletop exercise that pressure-tests your people, decisions, and playbook against an AI-specific incident. It is explicitly not a live incident response retainer, not forensic or breach remediation, not legal advice, and not a guarantee of any regulatory, examination, or litigation outcome. No system is touched and no live incident is handled. The findings and the playbook outline are yours to own and operate; we work alongside your counsel, your security team, and your regulator-facing functions.
We facilitate one or two scenarios chosen for your business — the AI incident types a generic breach plan never anticipated. Each is a concrete narrative on a ticking clock, tuned to your firm type and your AI use cases.
A silent data-pipeline change corrupts an input feature, and for weeks your credit, pricing, or underwriting model has been making decisions it should not have. Finance flags the drift after the fact. Who owns the call to roll it back, and how do you reconstruct which decisions — and which customers — were affected?
Your customer-service assistant returns one customer's account details inside another customer's chat, and a screenshot is already circulating. This is an LLM data breach incident response drill: containment, scoping the blast radius across sessions, notification duties, and who speaks for the firm — under time pressure, with the facts still incomplete.
An automated decisioning model has produced systematically worse outcomes for one group for months. A consumer group has notified your regulator and your exam window is closing. The model is still live. The tabletop forces the decisions: disable, disclose, remediate, and assemble the governance file — in what order, and who signs off.
A manager approves a large wire after a video call with a synthetic likeness of an executive. The funds have moved and the press is calling. This deepfake fraud tabletop exercise tests payment-authorization controls, escalation, recovery, customer and media communications, and the report you owe your regulator — none of which a classic phishing playbook covers.
Fraud or AML losses climb while alert volume falls — an adversary appears to have learned to evade your detection model, or a corrupted feed has poisoned it. Retraining takes weeks. The exercise pressure-tests interim controls, what you must report, and how you keep the business running while the model is compromised.
Before anything visibly breaks, your regulator sends a written inquiry: how does your AI system make decisions, how is it validated, who is accountable when it fails, and where is the evidence? The clock is short. The tabletop rehearses assembling a coherent, accountable answer under supervisory expectations — not scrambling to invent one.
The value of a tabletop is that it is safe: no live incident, no system touched, no outcome promised. Being precise about that is the whole point.
Short scoping beforehand, a focused session in the room, a debrief and gap report after. Built for the calendar of people who cannot give you a week.
We keep it tight and senior-led, so the people who would actually make the decisions are the ones in the room:
Want to see the shape of a scenario before you scope? Start with the free AI Incident Scenario Builder — it runs entirely in your browser.
The exercise ends in artifacts your risk committee, your CISO, and — increasingly — your cyber insurer can use. Not a certificate. A starting point you own.
A concrete read on your AI incident readiness the day the exercise closes:
Board- and risk-committee-sponsored, and scoped for the executives who own the consequences of an AI incident — with the CISO and, increasingly, the cyber insurer at the table.
You answer to the board for whether the firm can withstand an AI failure. You need to know — before it happens — whether your people, decisions, and playbook actually hold when a model breaks or a copilot leaks at scale.
You own the answer when the regulator asks how an AI incident was handled. A rehearsed response — clear escalation, notification, and evidence — is far easier to defend than one improvised the morning the inquiry lands.
You carry the exposure — disclosure timing, notification duties, and litigation risk. The tabletop pressure-tests those decisions in a safe room, so the first time your team makes them is not during a live incident.
The CISO and the security team are natural co-participants — an AI incident is a security incident with unfamiliar failure modes. And cyber insurers increasingly expect AI-scenario incident-response readiness as part of underwriting and renewal; a documented tabletop and gap report is exactly the kind of evidence that conversation now calls for.
Before you scope an exercise, build a scenario. Pick an AI use case and your firm type and our free, 100% browser-local AI Incident Scenario Builder generates pre-built incident scenarios plus a 10-question "does your IR plan answer this?" checklist. Nothing you select leaves your browser. Bring the output to a scoping call and we run it live with your leadership team.
What does it cost? The fee is fixed in writing after a short scoping call — it scales with how many scenarios you want facilitated and how many functions are in the room, not your headcount. See the non-binding market-estimate ranges for this and every DSE engagement on the pricing page.
See engagement models →What risk, compliance, and legal leaders ask before they scope an AI incident response tabletop.
It is a facilitated, half-day simulation in which your leadership team works through a realistic AI-specific incident — a model failure, an LLM data leak, a bias event at scale, deepfake fraud, a poisoned model, or a regulatory inquiry — in real time, on the clock, without any system being touched. It rehearses who decides, who communicates, how you contain and escalate, and where your current plan breaks. You leave with a gap report and an IR playbook outline. It is a readiness exercise, not a live incident response service.
A classic breach plan assumes stolen credentials, malware, or a lost device. AI introduces failure modes those plans never anticipated: a model that silently discriminates or drifts, a copilot that leaks one customer's data to another, a hallucinated commitment made in writing, a deepfake that authorizes a payment, or a detection model an adversary has learned to evade. Each demands different containment, different evidence, and a different notification and communications path. The tabletop finds the places your existing AI incident response plan for financial services is silent — before a real event does.
Yes — those are two of the most-requested scenarios. The LLM data breach incident response drill walks through a copilot or chatbot exposing customer data across sessions: containment, scoping the blast radius, notification duties, and who speaks for the firm. The deepfake fraud tabletop exercise walks through a synthetic-voice or synthetic-video impersonation that moves money: payment-authorization controls, escalation, recovery, and the customer, media, and regulator communications that follow. Scenarios are chosen with you during scoping so the exercise reflects your real exposure.
We organize the gap report and the IR playbook outline around the NIST AI RMF functions — govern, map, measure, and manage — so incident response is framed as part of a defensible AI risk-management program rather than a standalone drill. That means clear decision rights and accountability (govern), a shared understanding of the AI systems and their failure modes (map), the monitoring and evidence that let you detect and reconstruct an incident (measure), and the containment, escalation, and communications that keep it contained (manage). We use the framework as reference; we do not certify NIST AI RMF compliance.
No. This is a readiness simulation and a gap report, delivered as a fixed-scope exercise. It is not a live incident response retainer, not forensics or breach remediation, not a penetration test, and not legal advice. We do not handle a real, in-progress incident or stand up a 24/7 response function. The findings and the playbook outline are yours to own and operate, and we work alongside your counsel and your security team. No engagement guarantees a regulatory, examination, or litigation outcome.
The fee is fixed in writing after a short scoping call and scales with how many scenarios you want facilitated and how many functions participate, not your company size. We publish non-binding market-estimate ranges for every engagement, including this one, on the engagement models page.
Last reviewed: 2026-07-03 · Initial release. The AI Incident Response Tabletop is a service line of the AI Security & Cyber Risk practice. All work is a readiness simulation and advisory — a facilitated exercise plus a gap report and an IR playbook outline, not a live incident response retainer, forensics, a penetration test, legal advice, or a guarantee of any regulatory, examination, or litigation outcome. The NIST AI RMF is referenced as a framework, not certified.