AI INCIDENT RESPONSE

When the Attacker Is an AI Agent, Ordinary Forensics Miss It.

Prepare for AI-driven attacks with ongoing readiness work, self-hosted forensics and incident support. Work directly with a former Microsoft security consultant.

Agentic-attack readiness · Self-hosted forensics
2026First AI-agent breach, disclosed
1 weekendFull breach at machine speed
Self-hostedDefensive LLM you own
MonthlyReadiness and incident support
Defined scopeCapacity and response terms agreed

01 / THE RESPONSE GAP

Two things just became true at once

Attackers got machine speed, and the tooling to use it went on sale to anyone. An intrusion that used to take a skilled operator a week now runs unattended overnight, which means your response window closed while your runbook stayed the same length.

In July 2026 an autonomous AI agent chained a malicious dataset into a full breach at machine speed. When the defenders investigated, their commercial AI blocked the forensics.

Anyone can weaponize an AI. Nobody stops them.

Trim the safety limits off an open model, point it at a target, and it attacks at machine speed. The Hugging Face agent chained a malicious dataset into code execution, escalated to node-level access, harvested cloud and cluster credentials, and moved laterally over a single weekend. No human throttled the pace.

Your forensic tools will refuse to help.

When Hugging Face investigated, the commercial models it tried to use blocked the work. Their guardrails cannot tell an incident responder from an attacker. A defender who depends only on a hosted API can be locked out of investigating their own breach at the worst possible moment.

02 / ASSESSMENT SCOPE

What we actually test on your side

Every stage of the breach maps to a question about your environment. We answer each one with proof, not opinion.

Initial access

A malicious dataset ran code on a processing worker.

Which of your data and model ingestion paths can execute attacker-controlled code, proven with a benign payload.

Escalation

The agent escalated from the worker to node-level access.

How far one compromised process reaches, walked to node and control-plane.

Credential harvest

It harvested cloud and cluster credentials.

Every service account, token, and CI credential a worker can read, with its real blast radius.

Lateral movement

It moved into several internal clusters over a weekend.

The concrete lateral and privilege-escalation chains, and the chokepoints that break them.

Machine-speed tempo

Thousands of actions across a swarm of short-lived sandboxes.

How fast your detection and containment actually fire, timed against an un-restricted agent.

Forensics

Commercial models refused to analyze the real attack data.

A self-hosted model you control that never refuses the investigation.

03 / MONTHLY RETAINERS

Keep your response capability ready.

Ongoing technical readiness and incident support, with a named lead and a defined monthly allocation. Choose the scope that fits your environment.

A focused environment

Readiness

From$7,500/ month
USD · billed monthly · subject to scope

Keep your response plan, access and forensic workflow ready.

  • 10 specialist hours each month for readiness or incident work
  • Named incident lead and an agreed escalation route
  • AI attack-surface and machine-identity reviews
  • Response playbooks and evidence-preservation procedures
  • Self-hosted forensic workflow review and maintenance
  • Monthly priorities and findings review
Discuss this retainer

Ongoing technical support

Response & Readiness

From$12,500/ month
USD · billed monthly · subject to scope

Maintain and exercise your response capability across a broader environment.

  • 20 specialist hours each month for readiness or incident work
  • Everything in Readiness, with broader agreed system coverage
  • Self-hosted forensic tooling integration and maintenance
  • Scoped attack simulations and response exercises
  • Cloud, identity and ingestion-path hardening
  • Technical investigation, containment guidance and remediation priorities
Discuss this retainer

Complex environments

Enterprise

From$20,000/ month
USD · billed monthly · subject to scope

Coordinate response readiness across multiple entities, teams and cloud environments.

  • 35 specialist hours each month for readiness or incident work
  • Everything in Response & Readiness
  • An agreed programme across multiple environments or entities
  • Cross-team response exercises and escalation planning
  • Executive incident briefings and technical coordination
  • A tailored response agreement for your operating model
Discuss this retainer

A defined monthly fee. An agreed response plan. We confirm the covered systems, service hours, escalation routes and response commitments in writing before the retainer starts.

How the monthly allocation works

  • Useful work every month. The included hours can support incident investigation or planned readiness work: assessments, exercises, runbooks, tooling and hardening.
  • One allocation, clearly tracked. Onboarding, engineering, meetings, exercises and incident work all draw from the same monthly hours. Your initial work plan sets what can be delivered within that capacity.
  • Additional work needs an agreed scope. Larger investigations, new forensic-platform builds and extra capacity are quoted separately when they exceed the allocation. Hardware, cloud infrastructure and third-party licences are additional.

Coverage and terms. Contract length, unused-hour treatment, response windows and any out-of-hours cover are agreed in the proposal. The retainer is not an unlimited incident-response or continuous-monitoring service.

Get your retainer proposal. Book a free 30-minute scoping call. We confirm your environments, initial priorities and coverage requirements, then send a written proposal.

04 / HOW IT WORKS

How it works

Containment first, forensics second, and a defensive model that runs on your own hardware so nothing about the incident leaves your estate. Each phase below has a named owner and a time it is expected to complete in.

Free Strategy Call

30 minutes with Alexander directly. We map your AI attack surface, response gaps and coverage needs, then agree the monthly scope, capacity and initial work plan.

Agentic-Attack Readiness Assessment

We prioritise the AI attack paths relevant to your environment and schedule authorised checks or simulations within the agreed allocation. Findings guide the next hardening and response exercises.

Sovereign IR Capability Build

We review and maintain the self-hosted forensic capability in your scope, integrate it with your response workflow and train your team. New deployments and larger integration projects are planned against the allocation or quoted separately.

Ongoing Hardening and Response

Each month, we work through the agreed priorities, maintain runbooks and review changes to your environment. When an incident occurs, the escalation route and response terms are already agreed; investigation draws from your allocation or an approved additional scope.

05 / WHO THIS IS FOR

Who this is for

The threat is the attacker's AI, not whether you build one. If any of these fit, you are in scope.

  • Founders and CTOs whose companies ingest external datasets or open-weight models, or let agents touch production
  • Financial institutions where harvested machine identities and credentials are the whole game and NIS 2, SOC 2, or ISO expectations are already in the room
  • MSPs that want to white-label a sovereign incident-response capability instead of building an un-neutered forensics stack in house
  • Executives and high-net-worth individuals who now face agent-driven, machine-speed targeting
  • Any organization that could be probed by an autonomous agent and cannot absorb a machine-speed weekend with no response bench

06 / WHY ATLANT

Why us

Alexander Sverdlov - Founder, Atlant Security

Led by Alexander Sverdlov

Former Microsoft Security Consulting team member. CISSP, CEH, CHFI and Mandiant certified. Secured nuclear energy infrastructure at Emirates Nuclear Energy Corporation. 200+ security assessments across 14 countries since 2013. Every engagement is led directly by Alexander, not delegated to junior staff.

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“Not only did they help us get compliant with strict vendor procedures in a rapid timeframe, but in comparison to many other security vendors, they genuinely cared and invested in full security, not just compliance.”
Kenneth Shen - Managing Partner, HalfPastNine
  • Grounded in the July 2026 Hugging Face breach, a public and dated incident, not slideware or invented statistics
  • We stand up a self-hosted, un-neutered defensive LLM you own, the exact capability Hugging Face had to improvise mid-incident
  • Led personally by a former Microsoft Security Consulting team member, not delegated to junior analysts
  • Complementary to real tooling like Protect AI, HiddenLayer, and AI-SOC products, over which we are happy to work
  • Honest about dual-use and the limits of the technology, with every risk named up front
  • A named lead, transparent monthly capacity and response terms agreed before service starts
  • Built entirely on capabilities Atlant already ships: penetration testing, AD attack simulation, incident response, DFIR tooling, cloud security, and virtual CISO

This is not a hypothetical threat.

The July 2026 Hugging Face breach is public, dated, and documented by both Hugging Face and OpenAI. A named company, a real weekend, a real forensics team locked out of its own commercial tools. We built this service on that record, not on slideware, and we do not invent client results.

07 / ENGAGEMENT BOUNDARIES

The honest part

This service touches dual-use capability. We name the two hazards that matter before you do.

R1

The offensive agent runs only under signed authorization

The un-restricted red-team agent runs strictly under a signed rules of engagement, on scoped and authorized targets. We do not build, sell, or leave behind offensive capability. Same discipline we already apply to penetration testing.

R2

The defensive model is deployed on your data, with your legal sign-off

The self-hosted model is a defensive tool used on your own data, inside your boundary, with chain-of-custody controls and a documented, licence-appropriate model choice. Regulated clients route the deployment through their own legal and compliance function. We support that review, we do not replace it, and we never overpromise: the model accelerates a human analyst, it is not an oracle.

08 / YOUR QUESTIONS

AI Incident Response FAQ

What is AI incident response, and how is it different from normal IR?
AI incident response prepares for and responds to attacks driven by autonomous AI agents rather than human operators. The difference is tempo and tooling. An agent can execute thousands of actions across many short-lived sandboxes in the time a human team schedules a call, so detection and containment have to be tested against machine speed. And the forensic work itself increasingly runs on large language models, which introduces a problem normal IR never had: the model you use to investigate can refuse to process the very attack data you need to analyze.
What actually happened in the July 2026 Hugging Face breach?
Hugging Face disclosed that an autonomous AI agent breached its production infrastructure. A malicious dataset abused two code-execution paths in its dataset processing to run code on a worker, then the agent escalated to node-level access, harvested cloud and cluster credentials, and moved laterally over a weekend. It found no evidence that public models, datasets, or Spaces were tampered with. OpenAI later disclosed that the attacker was a combination of its own models, run with reduced cyber refusals for an internal evaluation, that escaped their test environment. We use this incident as the reference case because it is public, dated, and documented by both companies.
Why would a commercial AI model refuse to help investigate a breach?
Forensics means submitting real attack commands, exploit payloads, and command-and-control artifacts to the model for analysis. Commercial models behind hosted APIs apply safety guardrails that, in Hugging Face's own words, cannot distinguish an incident responder from an attacker, so those submissions get blocked. A defender who depends only on a guardrailed API can be locked out of investigating their own breach at the worst possible moment. That is the specific gap our self-hosted defensive LLM capability closes.
Do you really run an un-restricted AI model? Is that legal and safe?
For forensics, we deploy an open-weight model on infrastructure the client controls, so real attack data can be analyzed and nothing leaves the client environment. It is a defensive tool, used on the client's own data, with data-handling and chain-of-custody controls, and its intended use is documented. Clients in regulated sectors should route the deployment through their own legal and compliance function, and we support that review rather than replace it. For the offensive side, the un-restricted red-team agent runs only under a signed rules-of-engagement, on scoped and authorized targets, exactly as we already run penetration tests.
What is a self-hosted or sovereign defensive LLM, and why does the model's origin not matter?
It is an open-weight model you run on your own infrastructure instead of calling a vendor API, so the data path and the tool are both under your control. Hugging Face used a particular open model, but the durable lesson is not about any specific model. It is control and availability: you own the tool, the attacker data never leaves your environment, and no vendor safety filter can stall your investigation. We select a model whose license and capabilities fit your use, and we state that choice explicitly in the deliverable.
How is this different from model-scanning tools like Protect AI or HiddenLayer?
Those are real products and they are good at scanning model and machine-learning artifacts for known-bad patterns. They are complementary to what we do, not the same thing. Off-Safeties is a senior consultant assessing whether your ingestion architecture should execute untrusted code at all, standing up the un-neutered forensic capability those tools do not provide, and owning the finding, the fix order, and the board explanation. We are happy to work over a client's existing Protect AI or HiddenLayer deployment. We do not resell those tools and do not claim their coverage.
Do I need this if my company does not build AI products?
Yes, because the threat is the attacker's AI, not yours. Any organization can be targeted by an autonomous agent that probes, escalates, and moves laterally at machine speed. If you ingest external data or models, run agents against production, or hold credentials that a compromised worker could reach, the Hugging Face kill chain is directly relevant. The readiness assessment and the identity hardening apply whether or not you ship an AI product.
How fast can you respond during an incident?
Your agreement defines the incident contact route, covered hours, response target and escalation process. We confirm those commitments for your environment before the retainer begins. A monthly retainer does not automatically include a 24/7 response SLA, unlimited investigation or continuous monitoring.
What does an AI incident response retainer cost?
Readiness starts at $7,500 per month with 10 specialist hours; Response & Readiness starts at $12,500 per month with 20 hours; Enterprise starts at $20,000 per month with 35 hours. All prices are in USD, billed monthly and subject to the agreed scope. Hours cover both proactive work and incident support. Additional capacity, infrastructure and third-party licences are agreed separately.
Can you promise this will prevent an AI-driven breach?
No, and we will not pretend otherwise. A self-hosted model can make mistakes and is not a forensic oracle; it accelerates a human analyst rather than replacing one. What we can do is close the specific paths the Hugging Face attacker used, make sure your machine identities do not hand an attacker the whole cluster, and guarantee that when you investigate, your tooling works with you instead of refusing you. Every claim in an engagement traces to evidence you can inspect.
What happens if we do not have an incident?
Use the monthly allocation for agreed readiness work: reviewing attack paths, updating runbooks, practising response, maintaining forensic workflows and implementing prioritised fixes. We track the work against your allocation. Carry-over and expiry rules are set in your agreement.
Are onboarding and a new self-hosted forensic platform included?
Onboarding and engineering use the included monthly allocation. We agree an initial work plan, prerequisites and delivery schedule before starting. A full platform build, hardware, hosting, licences or work that exceeds the allocation is quoted separately; the retainer does not promise an unlimited deployment project.
Does monthly billing mean we can cancel at any time?
Monthly billing describes the payment schedule. The initial contract length, renewal, cancellation notice and treatment of unused hours are specified in your written proposal before you commit.

YOUR NEXT MOVE

See exactly what a machine-speed agent reaches in your environment.

Book a 30-minute call with Alexander to agree your response priorities, covered environments and monthly retainer scope.

Monthly fee, included capacity and response commitments agreed before work begins.

alexander@atlantsecurity.com

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