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◍ Incident Response & DFIR
GMDSOFT Tech Letter Vol19.App Artifact Analysis: Text Input Records

Deleted chats aren’t always the end of the story—GMDSOFT’s latest Tech Letter shows how MD-RED uncovers typed, unsent, and overlooked keyboard app data to help investigators recover critical evidence.

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◍ Incident Response & DFIR
If You Review Digital Evidence, This 15-Minute Session Is Worth Watching

New tools from Semantics 21 help digital investigators surface intelligence faster, assess deepfakes, and generate structured scene descriptions — all offline and alongside existing forensic workflows…

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◍ Incident Response & DFIR
Establishing Vehicle Occupant Actions & Involvement Through Vehicle Data

How can vehicle data help determine who was involved in a crime? Berla demonstrates how door, seat, and seatbelt events can reconstruct occupant activity and timelines.

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◍ Incident Response & DFIR
Why Event Log Archiving Is Critical For Timeline Reconstruction

Missing event logs can mean missing evidence — here’s why proactive archiving is essential for reliable timeline reconstruction in digital investigations.

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◍ Incident Response & DFIR
Digital Forensics Round-Up, March 11 2026

Read the latest DFIR news – tech-facilitated abuse and AI deepfakes, mobile anti-forensics research, investigator burnout, new DFIR tools, and more.

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◍ Incident Response & DFIR
UPCOMING WEBINAR – 2026 Industry Trends: How Digital Forensics Is Redefining Public Safety

Join Cellebrite on March 18 to explore key trends shaping digital forensics and digital evidence in public safety.

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◍ Incident Response & DFIR
Yuri Gubanov, Founder And CEO, Belkasoft

Belkasoft CEO Yuri Gubanov discusses the company’s current line-up of products, how AI can be used in investigations, and the evolving challenges facing digital forensic investigators worldwide.

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◍ Incident Response & DFIR
Forensics Europe Expo Returns To London In July 2026

Forensics Europe Expo returns to Olympia London on 1–2 July 2026, bringing the forensic community together to explore the latest developments in crime scene investigation, laboratory science, and digi…

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◍ Incident Response & DFIR
Emma Pickering, Head Of Technology-Facilitated Abuse And Economic Empowerment, Refuge

Emma Pickering of Refuge warns of a 62% surge in tech-facilitated abuse—from stalkerware and spy cams to deepfakes and wearable surveillance—and explains why policing and digital forensics must urgent…

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◍ Incident Response & DFIR
Magnet Forensics Shares The 2026 State Of Enterprise DFIR Report

AI adoption, mobile evidence challenges, and expanding toolkits are reshaping enterprise digital investigations—here are four key insights from the new 2026 State of Enterprise DFIR Report by Magnet F…

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◍ Incident Response & DFIR
Forensic Focus Digest, March 06 2026

Discover what’s new on Forensic Focus – explore how Amped Replay simplifies video redaction, preview Techno Security East 2026 in Myrtle Beach, learn how ADF Pro addresses the Landeck ruling, and more…

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◍ Incident Response & DFIR
UK Parliament Has Spoken: Digital Forensics Has A Mental Health Problem

A House of Lords inquiry has exposed a growing mental health crisis in digital forensics—one many investigators have been quietly living with for years.

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◍ Incident Response & DFIR
Detego Global Launches Artefact_Compare For Rapid Device Integrity Verification

Detego Global launches Artefact_Compare in Detego Analyse AI+, enabling investigators to quickly verify device integrity by comparing pre- and post-deployment snapshots across major operating systems.

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◍ Incident Response & DFIR
Digital Forensics Round-Up, March 04 2026

Read the latest DFIR news – Magnet Forensics Virtual Summit insights, Windows USB timeline analysis, Amped Replay redaction updates, and more.

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◍ Incident Response & DFIR
Argentine Federal Police Rapidly Solve High-Profile Homicide Investigation Using SS8’s Discovery

SS8’s Discovery platform helped a South American intelligence agency cut complex homicide evidence review from weeks to hours—fusing fragmented data into secure, actionable intelligence that accelerat…

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◬ AI & Machine Learning
Power Steering: Behavior Steering via Layer-to-Layer Jacobian Singular Vectors

cross-posted from my blog TLDR The map of how the activations of one ‘source’ layer in an LLM impact the activations in some later ‘target’ layer can provide vectors for steering LLM behavior. Computi…

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◬ AI & Machine Learning
Operationalizing FDT

This post is an attempt to better operationalize FDT (functional decision theory). It answers the following questions: given a logical causal graph, how do we define the logical do-operator? what is l…

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◬ AI & Machine Learning
How well do models follow their constitutions?

This work was conducted during the MATS 9.0 program under Neel Nanda and Senthooran Rajamanoharan. There's been a lot of buzz around Claude's 30K word constitution ("soul doc"), and unusual ways Anthr…

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◬ AI & Machine Learning
The Refined Counterfactual Prisoner's Dilemma: An Attempt to Explode Decision-Theoretic Consequentialism

I was inspired to revise my formulation of this thought experiment by Ihor Kendiukhov's post On The Independence Axiom . Kendiukhov quotes Scott Garrabrant : My take is that the concept of expected ut…

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◬ AI & Machine Learning
AIs will be used in “unhinged” configurations

Writing up a probably-obvious point that I want to refer to later, with significant writing LLM writing help. TL;DR: 1) A common critique of AI safety evaluations is that they occur in unrealistic set…

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◬ AI & Machine Learning
The case for satiating cheaply-satisfied AI preferences

A central AI safety concern is that AIs will develop unintended preferences and undermine human control to achieve them. But some unintended preferences are cheap to satisfy, and failing to satisfy th…

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◬ AI & Machine Learning
Censored LLMs as a Natural Testbed for Secret Knowledge Elicitation

TL;DR: We introduce a testbed based on censored Chinese LLMs, which serve as natural objects of study for studying secret elicitation techniques. Then we study the efficacy of honesty elicitation and …

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◬ AI & Machine Learning
Payorian cooperation is easy with Kripke frames

The context is MIRI's twist on Axelrod's Prisoner's Dilemma tournament . Axelrod's competitors were programs, facing each other in an iterated Prisoner's Dilemma. MIRI's tournament is a one-shot Priso…

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◬ AI & Machine Learning
Can governments quickly and cheaply slow AI training?

I originally wrote this as a private doc for people working in the field - it's not super polished, or optimized for a broad audience. But I'm publishing anyway because inference-verification is a new…

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