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Improving Resilience for GenAI Workloads on AWS

GenAI can do incredible things, but like any technology, its success depends on how we implement and use it. Without proper implementation, GenAI failures can pose significant risks to your organization's reputation and customer trust, leading to real financial impact. And like any other application, regulatory rules, SLAs, and reliability standards still apply to GenAI. With more companies integrating GenAI into their systems and products, it’s essential to make sure GenAI workloads and applications are highly available to deliver an exceptional user experience.

Beyond the Hype Blog Part 2 - DeepSeek and Other AI Models

The recent introduction of the DeepSeek R1 (DeepSeek) Large Language Model (LLM) has shaken up the AI landscape, suggesting that new low-cost and open-sourced providers could enter the market. This disruption creates huge opportunities for service providers to drive innovation and for their vendors and suppliers to enhance or innovate in economically feasible ways.

Torq's AI-Native Autonomous SOC Wins Check Point's CPX 2025 Innovation Sandbox Competition

Torq took home the top prize at Check Point’s 2025 Innovation Sandbox Competition during their annual CPX conference in Las Vegas. Chris Coburn, Torq’s Sr. Director of Tech Alliances, faced off against 13 other companies to pitch Torq’s AI-native autonomous SOC to a panel of judges and voting audience.

It's time for a new approach: Edwin AI solves ITOps biggest challenges with agentic AI

For years, the term “AIOps” has been tossed around, but for IT teams, it hasn’t really brought the change it promised. Gartner coined the term, promising that machine learning and AI would forever change how we manage IT operations. Yet, the reality has been underwhelming. For most teams, traditional AIOps has amounted to little more than event management with a shiny new label.

The Role of Facial Recognition Cameras in Modern Surveillance AI Technologies

Facial recognition cameras have rapidly emerged as one of the most advanced tools in modern surveillance AI technologies, transforming security measures across industries. These intelligent systems integrate artificial intelligence with real-time data processing to identify individuals with remarkable accuracy, enhancing law enforcement, border control, and corporate security. Surveillance systems that leverage facial recognition cameras provide unmatched capabilities in monitoring and streamlining identity verification, making them an indispensable asset in today's security landscape.

AI Governance in 2025: A Full Perspective on Governance in Artificial Intelligence

In a world where artificial intelligence (AI) is leaping forward — growing at a CAGR of almost 36% from 2024 to 2030 — questions about governance and ethics with the use of AI are surfacing. As humans continue to develop AI systems, it is crucial to establish proper guidelines to ensure powerful technologies like generative AI and adaptive AI are used in a responsible manner.

Introducing Observo Orion: Your AI Data Engineer for Security and DevOps

I’m thrilled to announce the general availability of Observo Orion, the industry’s first Agentic AI Data Engineer. This launch represents more than just a new product — it’s a fundamental shift in how organizations will manage their security and observability data pipelines. For years, I’ve watched organizations struggle with data engineering challenges. It’s been a highly specialized discipline, requiring deep technical expertise and significant manual effort.

How to avoid blowing the budget on Azure AI

So you had a great day playing with really awesome new tech, solving big business challenges, and feeling like you really nailed it. Then you wake up the next day to an alert from Azure telling you you've blown your monthly budget and its only the first week of the month. We've all been there... right? Using any cloud service comes with a cost, but for most services the budget risk is low. Cost calculated daily isn't a problem when usage is predictable, but not everything works like that.

How to Achieve Ethical Quality Assurance (QA) for Your Software Using Artificial Intelligence (AI)

As the use of artificial intelligence (AI) for software testing and quality assurance (QA) becomes increasingly prevalent, there are ethical considerations that must be addressed to ensure fairness, transparency, and accountability.