Dominic Jainy brings a wealth of knowledge in artificial intelligence and blockchain to the table, offering a unique perspective on the modern threat landscape. As cybercriminals harness machine learning to automate exploitation, the gap between a vulnerability being discovered and a breach occurring is shrinking at an alarming rate. We sit down with him to discuss the shift toward identity-based
Dominic Jainy is a distinguished IT professional with a deep mastery of artificial intelligence, machine learning, and blockchain technologies. With a career dedicated to exploring how these advanced systems intersect with real-world infrastructure, he provides critical insights into the evolving landscape of digital threats. As AI agents become more integrated into professional workflows, his expertise helps bridge the gap between
Dominic Jainy is a seasoned IT professional whose expertise sits at the intersection of artificial intelligence, machine learning, and blockchain technology. With a career dedicated to understanding how emerging technologies reshape industrial landscapes, he has become a leading voice on the security implications of AI-integrated development environments. His insights are particularly vital now, as recent discoveries have shown that even
Dominic Jainy is a seasoned IT professional with a deep mastery of artificial intelligence, machine learning, and blockchain architectures. Throughout his career, he has focused on the intersection of these emerging technologies and enterprise infrastructure, helping organizations navigate the complexities of digital transformation. His insights provide a roadmap for businesses looking to move beyond experimental silos and toward scalable, governed,
The traditional newsletter has transformed from a static, digital flyer into a sentient communication layer that anticipates consumer needs before they are even articulated. While the concept of automated mail has existed for decades, the integration of deep learning and generative models has pushed the industry into a new epoch of efficiency. This shift represents more than just a convenience
The modern corporate landscape has undergone a silent but profound metamorphosis where the back-office ledger has been replaced by sophisticated neural networks capable of predicting financial outcomes with uncanny precision. For decades, the payroll department functioned as a reactive entity, a necessary but isolated silo tasked with the retrospective accounting of hours and the distribution of funds. This traditional model
This integration represents a pivotal moment in the software development lifecycle where the focus shifts from basic automation to cognitive orchestration. Organizations are discovering that machine intelligence does not resolve fundamental process issues but instead exposes them, demanding a higher level of operational rigor than ever before. This research summary explores why the current landscape requires a deeper commitment to
The rapid acceleration of high-frequency deployments has transformed software artifacts from mere static outputs into the lifeblood of the modern digital enterprise. As organizations strive for greater agility, the Harness Artifact Registry has emerged as a pivotal solution designed to unify the fragmented landscape of package management. Traditionally, artifacts were stored in isolated repositories, creating a “black box” between the
The once-absolute rule that a cryptocurrency transaction, once broadcast to the network, is gone forever has finally met its match in the form of sophisticated forensic recovery ecosystems. In the early days of digital finance, losing access to a wallet or falling victim to a phishing scheme was effectively a financial death sentence because the decentralized nature of the ledger
As the Chief Product Officer at Dooap and a former controller, Anna Tujunen brings a unique “for AP professionals, by AP professionals” perspective to the world of financial technology. With her deep roots in the Microsoft Dynamics 365 ecosystem and her active involvement in the US e-invoicing sub-group, she bridges the gap between rigid ERP structures and the fluid needs
The rapid integration of autonomous agency into corporate fiscal frameworks has fundamentally redefined the threshold between simple task automation and intelligent financial orchestration. While traditional Robotic Process Automation relied on rigid, “if-then” scripts, agentic AI utilizes a reasoning layer to navigate ambiguity. This transition marks a shift from tools that merely follow instructions to digital entities capable of understanding intent.
The invisible erosion of proprietary intelligence occurs when automated systems harvest millions of outputs to replicate the internal logic of a frontier model without ever breaching a traditional firewall. This phenomenon, known as industrial-scale model distillation, has transformed from a legitimate research method into a primary tool for state-sponsored and corporate espionage. While distillation was once a benign way to
