Content Industry: Service Providers

Innovation meets mission at Magnet User Summit 2026

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Today at Magnet User Summit 2026, Magnet Forensics unveiled exciting announcements spanning AI innovation, platform advancements, and access to new evidence sources — all designed to help investigative teams move faster, collaborate earlier, and extract meaning from increasingly complex digital evidence. Shared during the company’s executive keynote address, the announcements reflect a clear direction for modern digital investigations: bring investigative workflows together, expand access to emerging evidence sources, and reduce the time between evidence collection and actionable leads.

Unmasking hidden threats: Rethinking standard DFIR approaches

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In today’s dynamic cybersecurity landscape, traditional digital forensics and incident response (DFIR) methods often fall short in fully uncovering the scope of cyber threats. This is due not only to the complexity of modern attacks but also to the environments under investigation. This presentation examines the limitations of conventional DFIR, sharing real-world cases where standard techniques failed to reveal the full extent of malicious activity, and detailing the approaches used to expose the true risks. Adversaries now employ increasingly advanced tactics, techniques, and procedures (TTPs), requiring more adaptable investigative strategies. We’re advocating for a shift toward flexible DFIR practices that go beyond traditional constraints, enabling practitioners to identify hidden threats and challenge ingrained assumptions within organizations. Our goal is to equip security professionals with confidence in challenging assumptions and better meet the challenges of modern cyber threats.

Streamlined mobile workflows: Magnet One Case Stream for Verakey early access

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In enterprise digital investigations, every minute matters. The ability to work quickly and efficiently can make all the difference in resolving issues and mitigating organizational impact. Organizations are leaning into processes and solutions that prioritize automation for a more streamlined, integrated workflow that enables collaboration across multiple teams and stakeholders.

Introducing Live Endpoint Explorer in Magnet Nexus: Triage in minutes, collect data with precision

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What artifacts do I collect? Where does the data reside? Do I have enough context to scope this incident? In real-world DFIR investigations, teams often piece together answers from multiple, disparate tools and that fragmentation has a cost. Analysts spend time extracting, correlating, and context-switching instead of advancing the investigation, containing the threat, and restoring operations.

A guide to navigating the modern digital evidence landscape in civil litigation

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Digital evidence is no longer a niche concern reserved for technology-focused litigators. It is now a foundational component of modern civil practice. Nearly every civil dispute involves data generated by smartphones, applications, cloud services, and networked systems. Messages replace letters; location data replaces eyewitnesses, and system logs preserve events long after human memory fades.

S1:E6 // AI on trial: Understanding AI for lawyers

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Artificial intelligence is increasingly becoming a regular part of our daily lives—including modern criminal prosecutions and courtroom practice.

In this episode of Legal Unpacked, Justin Fitzsimmons introduces a clear three-dimensional AI framework for lawyers, distinguishing capabilities, tools, and applications, and explaining the current reality of narrow AI that drives most systems in use today.  

Prosecutors will gain a practical understanding of generative AI, including how it creates content, where it fails, and why documented breakdowns in the legal profession matter for credibility and risk assessment.

The presentation also addresses the ethical and professional responsibilities associated with AI-assisted work and provides a structured approach for evaluating when and how generative AI may be used responsibly in prosecutorial functions.

The session concludes by grounding generative AI–created trial exhibits in evidentiary foundations, focusing on authenticity, reliability, and admissibility in court.