Tech
ThreatModeler Accelerates Secure Cloud Migrations with its AWS Advanced Technology Partnership
Technology today has brought along ease and convenience in our everyday lives. The internet was a technological breakthrough and changed the way we function, share and do business. Cloud-based services have revolutionized the way we access, store and utilize data, with its scalability and price flexibility. It’s no surprise that increasingly, organizations are migrating their files and information to the cloud. Despite its innumerable advantages, individuals and businesses must also be mindful of the need to keep their data safe during and after cloud migrations.
A skilled hacker can unethically enter your systems, applications, networks, and devices to extract information, expose your customers’ private data, or cause your company irreparable harm. Therefore, it is imperative to take concrete measures to keep your data and information safe in the digital realm.
Large volumes of information and data are processed and transferred in a given workspace daily. As a business owner, it is essential to keep all this information safe from hacks and leaks. Increasing, threats and cybercrime is running rampant in systems, applications, networks and devices. The digital space inherently results in an expanded attack surface when you migrate all your information to the cloud. In such a scenario, proactive security serves as your primary means of defense against hackers and data theft.
Headquartered in Jersey City, New Jersey, ThreatModeler Software Inc. was established by CEO Archie Agarwal, a web security veteran. ThreatModeler is an automated platform that analyzes an IT infrastructure against its Threat Intelligence library, with content from trusted, authoritative resources. ThreatModeler can be used for on-premise and cloud-based services.
Agarwal has trained hundreds of developers in his career in tackling issues related to information security. “ThreatModeler helps provide complete cloud security, which prevents attacks and keeps infrastructure free from any breaches,” he says. “It works effectively irrespective of the size of an organization.”
As ThreatModeler saw the potential for cloud and remains a leading company responsible for protecting sensitive data that belongs to numerous businesses, it became an AWS Technology Partner. The offering: AWS Assist. This feature simplifies the process flow diagram construction automatically with complete accuracy by analyzing the live AWS environment. As you drag and drop components onto your diagram “canvas,” ThreatModeler assesses the architecture you’re building against existing AWS security rules that it accesses through the AWS Assist integration . This helps developers, security architects, even C-Suite management to get an accurate depiction of the threats that can cause a data breach. Organizations of any size that utilize AWS services can count on ThreatModeler to make their security efforts more precise, efficient and scalable.
ThreatModeler is continuously evolving its product offering, which makes it one of the most scalable, reliable, and robust pieces of technology in the security realm. Agarwal’s goal is to “champion the combination of people, processes, and technology to build and elevate the conversation – and approach – around security within organizations.”
Today, businesses realize the importance and sensitivity of data. It is essential to leave no stone unturned while creating a hardy security system to protect sensitive data. With cloud-based storage and processes becoming increasingly popular, investing in the most full proof security possible is the need of the hour. Threatmodeler is doing its best to ensure that users remain one step ahead when it comes to cloud-based security, to ensure that businesses and their data remain safe and secure.
Tech
Evo Tech Reveals New Features for Evolution AI to Improve Threat Detection
Byline: Mae Cornes
MADISON, Wis— Evo Tech announced new updates to its flagship platform, Evolution AI, designed to enhance threat detection and real-time data analysis for intelligence, security, and law enforcement agencies. The upgraded system introduces expanded capabilities in pattern recognition, automated alerts, and data aggregation to improve response accuracy in critical operations.
The company’s latest release focuses on enabling faster identification of potential threats across multiple data streams, including text, imagery, and audio inputs. By combining adaptive machine learning models with advanced verification tools, Evolution AI now provides a more precise and scalable method for detecting irregular or suspicious activity.
“Security challenges are growing more complex as data sources multiply,” said Maria Pulera, Evo Tech’s representative. “Our goal with these new features is to help agencies detect threats earlier and reduce the time between data discovery and action. These tools are built to support real-world decision-making in fast-moving environments.”
Among the new enhancements are:
- Automated Threat Classification: The platform can now categorize potential risks based on severity and relevance, allowing analysts to prioritize investigations more effectively.
- Cross-Platform Data Fusion: Evolution AI aggregates data from both structured and unstructured sources, presenting analysts with unified, real-time insights across visual, audio, and textual inputs.
- Adaptive Anomaly Detection: Using machine learning, the platform learns from historical data to recognize unusual activity patterns and flag potential security concerns automatically.
- Enhanced Visualization Tools: New dashboard designs allow users to view correlations, track trends, and monitor data sources simultaneously with improved clarity.
Evo Tech’s development team designed these upgrades to help intelligence and defense organizations address increasing information volume and data fragmentation. According to industry reports, global data generation is expected to exceed 175 zettabytes annually by 2026, underscoring the need for advanced analytical tools that can handle large-scale, multi-format data securely.
Pulera added, “Our technology aims to reduce the manual burden on analysts while maintaining the highest standards of data integrity. We’ve focused on features that allow agencies to operate more efficiently without compromising security.”
The company’s engineering team also confirmed that Evolution AI’s infrastructure supports deployment in secure, private networks, aligning with the data protection requirements of defense and intelligence clients. Evo Tech plans to continue rolling out additional modules throughout 2025, with a focus on multilingual data analysis and predictive threat modeling.
Evo Tech’s latest updates come as governments and private institutions invest heavily in AI-driven security technologies. Market forecasts from MarketsandMarkets estimate that AI in defense and security applications will surpass $13 billion by 2028, reflecting a growing global emphasis on automation and early threat detection.
About Evo Tech
Evo Tech is an artificial intelligence company specializing in data analysis and intelligence automation for security and defense operations. Its flagship platform, Evolution AI, integrates machine learning, big data processing, and adaptive analytics to enhance decision-making in high-volume, high-security environments. The company’s mission is to deliver reliable, real-time solutions that strengthen operational efficiency and intelligence accuracy across the public and private sectors.
Contact Information:
Maria Pulera, Representative
EVO Tech
https://evoai.tech/
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