In the era of digital transformation, businesses increasingly rely on Electronic Quality Management Systems (eQMS) to manage quality and ensure regulatory compliance. But many companies still operate on legacy eQMS platforms that were once effective but now hinder growth and efficiency. These traditional systems are often rigid, siloed, and fail to meet the demands of a fast-paced, data-driven environment.
Technical defenses keep evolving but attackers have learned that people are often the weakest link. Social engineering has quietly outpaced many technical intrusions because it reliably targets human behavior rather than firewalls or intrusion detection systems. 2025 Verizon Data Breach Investigations Report highlights that social engineering remains one of the top three breach patterns, with phishing and pretexting consistently leading incident categories.
As Australian government agencies and regulated industries move sensitive workloads to the cloud, they need observability solutions that meet highly stringent data protection standards. To address this need, Datadog has pursued and received an Infosec Registered Assessors Program (IRAP) assessment at the PROTECTED level. This is an advanced classification under the Australian Cyber Security Centre (ACSC) framework for cloud and SaaS security.
When it comes to safeguarding digital assets, institutions require optionality: secure digital assets self-custody for day-to-day control, and access to qualified custody when regulatory or fiduciary obligations demand it. All delivered through integrated, trusted infrastructure.
When you’re moving fast, you can’t waste cycles on noise—you’ve got to focus on what actually matters. Compliance is no different. If you’re trying to lock in SOC 2 so you can close bigger deals, you don’t have time to vet claims in the market or to deep dive into a Reddit rabbit hole. That’s why we pulled together a crew of certified experts—and startup operators who’ve actually been through it—to cut through the myths.
AI is no longer a pilot project. In 2025 it sits inside support desks, developer tools, clinical workflows, loan underwriting, and public services. The regulatory landscape has shifted from paper policies to real-world evidence in production. Buyers, auditors, and regulators want to see controls in place where data flows and models are operational.
In most organizations, identity is everyone’s responsibility, and yet no one’s accountable. Security defines the policy, but IT carries out the execution. IAM workflows span cloud and on-prem systems, multiple departments, and often rely on manual processes. The result? Delays, inconsistent access, audit gaps, and mounting operational risk.
Most companies think their AI is secure — but the truth is far more complex. In this episode of AI On The Edge, Amar Kanagaraj (Founder & CEO, Protecto) and Sabrykrishnan Loganathan (Strategy Advisor, Peloton Interactive) break down what really goes into building secure, trustworthy AI systems for enterprise. You’ll learn: This is your masterclass on enterprise AI security. Don’t be in the 99% — watch and join the top 1%.
What does it really mean to be AI-native? In this episode of AI On The Edge, host Amar Kanagaraj (Founder & CEO, Protecto) chats with Manoj Mohan — a veteran AI leader who has built large-scale data & AI platforms for Intuit, Meta, and Apple. Manoj shares practical insights on: Whether you’re a CTO, engineer, or AI enthusiast, you’ll walk away with actionable lessons on how to build and scale AI responsibly.