Welcome to This Week’s NexaQuanta Newsletter
We’re glad to have you with us for another edition of the NexaQuanta weekly newsletter. Every week, we bring you the most impactful updates in AI, cybersecurity, enterprise tech, and digital transformation—so you stay ahead of the curve.
This week’s highlights include IBM Instana winning a top award based on customer reviews, and how AI is reshaping procurement into a proactive business tool.
We also look at OpenAI’s powerful open weight models now live on AWS, Microsoft’s new Project Ire for automated malware detection, and Google’s $1 billion push to bring AI education to U.S. universities.
IBM Instana Wins TrustRadius 2025 Top Rated Award
IBM Instana Observability has received the TrustRadius 2025 Top Rated award, thanks to strong customer reviews and consistent high performance across several key areas.
The recognition reflects Instana’s impact in four major categories: Observability, Application Performance Management (APM), IT Infrastructure Monitoring, and Kubernetes Monitoring. It achieved a TrustRadius score of 8.6 out of 10, surpassing many of its competitors.
TrustRadius awards are based entirely on verified customer feedback, making this honor a direct result of user trust and satisfaction.
Users highlighted Instana’s real-time monitoring, AI-powered issue detection, support for hybrid and multi-cloud environments, and user-friendly dashboards.
These features are helping businesses reduce downtime, boost performance, and stay ahead of system issues.
One reviewer from Ernst and Young noted that Instana’s automation and serverless support played a key role in their digital transformation efforts.
Another user praised its customizable dashboards and alerting features for keeping systems running smoothly.
This award confirms IBM Instana’s position as a reliable tool for modern IT operations and performance management.
To read more details about this, click here.
AI is Transforming Procurement into a Strategic Powerhouse
Procurement leaders are facing rising uncertainty, from geopolitical risks to global trade tensions. Instead of relying on reactive strategies, many are now turning to AI for smarter, faster decisions.
According to IBM’s Institute for Business Value, AI solutions built into cloud platforms and language models are helping procurement teams replace ambiguity with clarity.
Smarter Workflows with AI Automation
AI is bringing major efficiency to procurement processes. Source-to-pay workflows are being automated, saving time and reducing errors.
IBM research shows:
- 60% of organizations use AI for predictive analytics
- 56% use it for accounts payable
- 55% apply it to purchase order management
These early adopters expect strong returns over the next two years, including a 12% increase in ROI, a 20% gain in productivity, a 14% better operational efficiency, and an 11% boost in profitability.
Agentic AI Brings Strategic Intelligence
Agentic AI takes procurement a step further. These systems can identify ideal suppliers, predict disruptions, and draft strategic contracts that align with business goals.
With routine tasks handled by AI, procurement professionals can focus on relationship building and high-impact negotiations.
Future Outlook: Partnerships and Performance Gains
By 2027, leaders expect AI to deliver:
- 41% more efficiency in source-to-pay processes
- 49% improvement in touchless invoice processing
- 36% higher compliance
- 43% clearer real-time spend visibility
To reach these goals, many are turning to ecosystem partners. Most plan to outsource predictive analytics (88%), purchase order management (77%), and accounts payable (75%).
AI is reshaping procurement into a proactive, strategic function that turns market uncertainty into competitive advantage.
Click here to read this news in detail.
OpenAI’s Open Weight Models Now Available on AWS
For the first time, OpenAI’s open weight models are now accessible on Amazon Web Services (AWS), including through Amazon Bedrock and Amazon SageMaker AI.
This move gives AWS customers access to OpenAI’s latest generative AI technology for advanced use cases like coding, scientific research, and agentic workflows.
The new models—gpt-oss-120b and gpt-oss-20b—are designed for high performance and cost-efficiency. Running in Amazon Bedrock, they offer up to 10 times better price-performance than competing models such as Gemini and DeepSeek-R1.
These models also bring strong reasoning abilities and tool-using capabilities, making them well-suited for real-world applications.
Empowering AI Agents and Enterprise Use
With their advanced features, OpenAI’s models support the development of AI agents that can reason through tasks, follow instructions, and access external tools like web search or code interpreters.
They are also optimized for enterprise-scale deployments with Amazon Bedrock AgentCore, which helps organizations launch AI agents securely and effectively.
The models include a 128K context window, allowing them to handle longer documents and conversations.
Customers can use them to analyze technical manuals, academic papers, or customer service transcripts. Built-in safety features, like Guardrails and comprehensive evaluation by OpenAI, support responsible use.
Strategic Expansion of AI Tools on AWS
The availability of OpenAI’s models adds to AWS’s growing portfolio of generative AI tools. Customers using Amazon SageMaker AI can now pre-train, fine-tune, and deploy these open weight models using AWS’s full suite of AI tools.
This development strengthens AWS’s position as a top destination for building next-gen AI applications. Major companies, including DoorDash, Pfizer, GoDaddy, and Siemens, are already using Amazon Bedrock to innovate across industries.
With this partnership, AWS and OpenAI aim to accelerate access to powerful generative AI, giving developers and businesses the flexibility to scale and customize solutions for their evolving needs.
Want to read more about this? Click here.
Microsoft Introduces Project Ire: AI That Classifies Malware on Its Own
Microsoft has unveiled a prototype AI system called Project Ire, designed to autonomously analyze and classify software files without human input. This move marks a major step forward in automating malware detection and reducing the workload on cybersecurity analysts.
Project Ire is powered by a large language model (LLM) and mimics the detailed process of reverse engineering—a method typically used by security experts to examine unknown software. The system determines if a file is safe or malicious, even when no prior data is available.
How It Works
The system uses several tools and techniques to study software files:
- Reverse engineers code using decompilers and memory analysis tools
- Builds control flow graphs to map software behavior
- Summarizes key functions and features of the code
- Verifies results using a validation tool, creating a traceable “chain of evidence”
It integrates Microsoft’s Project Freta for memory analysis, alongside popular reverse engineering frameworks like angr and Ghidra. This toolset helps Project Ire deliver accurate results even on complex or unfamiliar files.
High Accuracy in Early Testing
In recent evaluations:
- Project Ire correctly flagged 90% of malware in public Windows driver datasets
- It had a false positive rate of just 2%
- On a second test with 4,000 high-risk files, it accurately identified nearly 9 out of 10 malicious samples, with a 4% false positive rate
These results have led Microsoft to begin using the system internally in its Defender platform under the name Binary Analyzer.
Future Vision for Threat Detection
Microsoft plans to scale Project Ire to classify software from any source instantly, even on the first encounter. The long-term goal is to detect new types of malware directly in memory, helping organizations respond to threats faster and more effectively.
This announcement follows Microsoft’s disclosure that it awarded $17 million in bug bounties over the past year to security researchers worldwide, highlighting its continued investment in cybersecurity and threat prevention.
Follow this link to read more details about this news.
Google Pledges $1 Billion to Support AI Training at U.S. Universities
Google has announced a major three-year initiative to support artificial intelligence education in the United States. The company is committing $1 billion to help universities and nonprofits train students in AI and support related research.
Over 100 universities have already joined the program, including major public institutions like Texas A&M and the University of North Carolina.
What the Program Includes
Participating institutions may receive a mix of funding and resources, including:
- Cloud computing credits for student training
- Free access to advanced AI tools, including a premium version of Google’s Gemini chatbot
- Support for research on AI-related topics
Google plans to offer this program to all accredited nonprofit colleges in the U.S. and is also exploring similar partnerships in other countries.
Broader Industry Context
This move comes as other tech companies, including Microsoft, OpenAI, and Amazon, invest heavily in AI education. In July, Microsoft committed $4 billion to global AI learning efforts.
By offering AI tools and training to students, companies aim to build early familiarity with their platforms—potentially leading to long-term business relationships when students enter the workforce.
Addressing Concerns About AI in Education
As AI becomes more widespread, educators and researchers have raised concerns about its role in learning—particularly around issues like cheating and reduced critical thinking. Some schools have even discussed banning AI tools in classrooms.
Google says it has not yet faced pushback from university leaders, but it recognizes the concerns. According to James Manyika, Google’s Senior Vice President, the company wants to work alongside universities to understand the best ways to use AI in education. He said the feedback could help improve future AI tools.
This billion-dollar initiative signals Google’s strong commitment to shaping how AI is taught and used across the academic world.
Check the details of this news by clicking here.
Stay Ahead with NexaQuanta
If you found these updates helpful, make sure to subscribe to our weekly NexaQuanta newsletter. We share practical insights, enterprise trends, and major tech movements—all in one place, every week.