When Star Trek gave us a glimpse of the future with the Universal Translator it seemed like a far-off science-fiction. However, newer features of mobile operating systems have made this more science-fact.
Mobile devices are indispensable tools in the modern workplace. The vast amount of data stored on these devices makes them invaluable sources of evidence in digital forensics investigations.
Air‑gapped forensic labs are essential for protecting sensitive evidence—but that isolation often slows investigations. As mobile devices increase in volume and complexity, fragmented workflows and manual evidence transfer can create costly bottlenecks.
In this webinar, learn how modern mobile forensics teams are bridging the air gap without compromising security. Drawing on real‑world law enforcement lab workflows, we’ll explore how combining Graykey with Magnet Forensics mobile solutions enables faster extractions, streamlined processing, and scalable collaboration entirely within an offline environment.
See how Axiom Express Extraction, Graykey Fastrak, and automated processing workflows help labs free up access devices, run simultaneous extractions across multiple workstations, and deliver analysis‑ready mobile evidence faster—while preserving the integrity of an air‑gapped lab. Whether you’re tackling backlogs or planning to scale, this session shows how to unlock speed, efficiency, and confidence across your mobile forensics workflow.
As digital crime grows more complex, disconnected tools and delayed evidence can slow investigations. Magnet One changes that.
As more digital activity migrates to the cloud, investigators need to adjust their legal processes to align with the realities of online data storage. In this episode of Legal Unpacked, Justin Fitzsimmons will examine how to draft effective search warrants for cloud-based data, including the need to understand the types of user information providers actually collect and store.
You’ll learn the importance of reviewing and preserving key service documents, including terms of service, privacy policies, cookie policies, and screenshots of provider-facing dashboards or archive tools, to demonstrate what data exists and how the companies retain it.
There will also be an emphasis on defining, with precision, the types of data relevant to the investigation and supporting each request with the information courts expect: a clear explanation of the specific data sought, how that data is generated through user or system activity, where it resides within the provider’s infrastructure, why it is relevant to proving elements of the offense, and how it may help attribute the activity to a specific user. This approach provides a practical framework for satisfying the requirements of probable cause and particularity, while making your request intelligible and credible to both courts and service providers.
Artificial intelligence is increasingly being invoked in child exploitation cases as a defense strategy, with claims that images are AI-generated, deepfakes, and that no real child is being depicted—all to create confusion and undermine proof.
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.
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.
Effective, fast, and precise incident response is a team effort.
