When your AI is the breach.
On-call expert response for when an AI system is breached, manipulated, or leaking. Deflected provides containment, forensics, and recovery on a standing retainer.
When a model is jailbroken, poisoned, or quietly leaking, your standard incident playbooks don't apply — the evidence lives in prompts, embeddings, and model behavior, not just logs. Every hour of dwell time widens the blast radius while your team improvises against an unfamiliar failure mode.
AI incidents don't look like the breaches your team trained for. A prompt-injection attack turns trusted input into an instruction the model obeys. A manipulated or poisoned model behaves normally until the exact moment an attacker needs it not to. And sensitive data can walk out through the model's own output — no exfiltration path, no malware, just a well-crafted request. There is no packet capture for a jailbreak and no antivirus for a poisoned weight.
A generic incident-response team can secure the infrastructure around a model but rarely knows how to interrogate the model itself — how to reconstruct an attack from a prompt trail, distinguish manipulation from expected behavior, or tell whether a system is safe to bring back online. Meanwhile the clock runs: an AI system left compromised keeps making decisions, answering users, and touching data with every request. The faster containment, forensics, and recovery begin, the less an incident costs you.
Isolates the affected model, pipeline, or agent to stop the bleeding without halting the business.
Traces root cause through prompts, data, and model behavior to establish what actually happened.
Restores trusted state, closes the entry path, and hardens against a repeat of the same attack.
Keeps our responders on standby under a defined SLA so help is minutes away, not days.
Expert responders isolate the compromise fast to limit exposure and downtime.
A defensible account of how the incident happened and what data was affected.
A standing retainer with guaranteed response times so you're never facing it alone.
AI Incident Response is built for the teams who own an AI system when something goes wrong — and need expertise they don't have to build in-house before the alarm sounds.
Capable responders who own the perimeter but lack deep AI expertise. We become the specialists on call when the incident is the model itself.
Any organization with models, agents, or LLM features touching real users and real data — where a compromise has immediate operational and legal weight.
Leaders accountable for AI risk who want a retained response capability in place — so the answer to "who handles this?" is settled before it's ever asked.
Three ways an AI system fails — and how a retained response changes the outcome.
A live assistant starts ignoring its guardrails and following attacker-planted instructions. We isolate the affected path, trace the injection to its source, and close it without taking the product offline.
You suspect the model is surfacing records, secrets, or PII it should never expose. We reconstruct what was asked and returned, scope the exposure, and give you a defensible account of what left.
A model in use is behaving wrong in ways that point to tampered training data or weights. We confirm whether it was manipulated, quantify the impact, and restore a trusted version.
Incident response for AI is its own discipline. This is what sets our engagement apart.
We investigate where AI incidents actually live — prompts, embeddings, training data, and model behavior — not just the logs and endpoints around them.
A standing retainer means the relationship, access, and priority response are set up in advance. When it hits, we're already your team — no procurement, no cold start.
Containment, root-cause forensics, and recovery in one engagement — we stop the incident, explain it, and get you back to a trusted state.
Every byte handled by AI Incident Response is protected with NIST-standardized post-quantum cryptography — ML-KEM-1024 key encapsulation (FIPS 203) in a hybrid scheme. Your data stays sealed against harvest-now, decrypt-later attacks, today and after quantum computers arrive.
The worst time to find an AI incident responder is during the incident. Book a working session — we'll map your AI systems, define your retainer, and make sure help is pre-arranged the day something goes wrong.