Anti‑hallucination in DFIR: anchoring findings to raw evidence.
Every claim Grail makes is tied to a specific artifact, line, and hash. Here's the architecture that enforces it — and why we drop unverifiable findings instead of softening them.
Grail's team has spent careers inside enterprise incident response — at the keyboard during real breaches, not writing about them from a podium. The platform is the product of that experience. This is where we publish what we're working on, what's changing, and what the field is getting wrong.
Traditional DFIR firms quote two to six weeks. Panels, onboarding, ticket queues, analyst availability. Grail's pipeline runs continuously — intake to admissible report — and clears most cases in a single business week.
Every hour a breach goes uninvestigated is an hour regulators, insurers, and attackers are making decisions for you.
Adversaries are weaponizing AI. Phishing is being written by language models, malware is being mutated at machine speed, and intrusion playbooks are running without a human at the keyboard. The DFIR firms still billing in 200‑hour blocks were built for a slower threat. Grail was built for this one — six purpose‑built AI agents running a full investigation in parallel, at the same speed your adversary moves.
Named, for the record, after knights who mostly failed the quest. We think that's appropriate.
"AI in security" usually means trust the model. Grail doesn't ask you to. Every claim in every report carries a direct reference to the artifact, the line, and the SHA‑256 hash it rests on.
The Black Knight agent re-checks every finding against source evidence before it ships. Unverifiable claims are dropped — not softened. Outputs are structured for Daubert admissibility, with chain‑of‑custody sealed end‑to‑end.
\SysUpdateCheck within 94 seconds.
Every claim Grail makes is tied to a specific artifact, line, and hash. Here's the architecture that enforces it — and why we drop unverifiable findings instead of softening them.
A $300K retainer is mispriced insurance for a business that will spend it twice in a decade. The math behind why the SMB DFIR market has been underserved for fifteen years.
Why the average dwell time number you keep quoting in board decks is an artifact of how long detection vendors need to justify renewals — not how long attackers actually sit.
A field note on how we tune collection profiles per tenant to stay within bandwidth budgets and stay quiet against the detection stack we're investigating around.
Courts are starting to see expert reports co‑written with LLMs. Here's the structural decisions we made — chain of custody, provenance, reproducibility — to keep findings admissible.
Panel DFIR is a 2011 architecture bolted onto a 2026 claims volume. What a faster, more consistent, API‑driven alternative looks like from the underwriter's seat.
Lead architect of the Grail platform. Brings deep expertise in digital forensics and incident response to the problem of investigative automation — building the first system capable of producing regulatory‑compliant findings without analyst intervention.
Security strategy lead for Grail. Responsible for the platform's security architecture, customer trust framework, and the forensic integrity systems that make Grail's outputs defensible in legal and regulatory contexts.
Technical architect overseeing Grail's infrastructure, AI pipeline, and scalability model. Ensures the platform meets the performance and reliability demands of enterprise incident response at any scale.
A note when we publish — usually twice a month. No promotion, no webinar invitations, no newsletter sludge.