Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Behind the Code: The Art and Science of Optimizing Game Performance

When you're deep in a game - dodging fireballs, racing through futuristic cities, or commanding armies - the last thing you want is a stutter, a lag spike, or a painfully slow load screen. Great gameplay is seamless. But achieving that fluid, responsive experience isn't just about art and design - it's about serious technical craftsmanship happening behind the scenes. At our studio, we believe performance is part of the magic. It's where engineering meets artistry, where lines of code become the silent heroes of immersive experiences.

How to Turn Your Smartphone into a Reliable Push-to-Talk Radio for Team Communication

Have you ever wished for instant team communication? Modern smartphones can replace traditional walkie-talkies, offering more features on devices your team already carries. Turning your smartphone into a reliable push-to-talk radio can transform team collaboration for construction sites, event staff, outdoor adventures, and more, enhancing efficiency and productivity across various industries and work environments.

How NovoPath Prioritizes Security in Its Laboratory Information System Software

In today's digital healthcare environment, data security isn't just a box to check-it's a central concern for any laboratory handling sensitive patient information. Labs are trusted with some of the most private and potentially impactful data in the healthcare system. From pathology reports to genetic testing results, these details must be handled with care, accuracy, and absolute confidentiality.

Lattica Emerges from Stealth to Solve AI's Biggest Privacy Challenge with FHE

Lattica emerges from stealth with $3.25 million in pre-seed funding. The round was led by Konstantin Lomashuk's Cyber Fund, with participation from angel investor Sandeep Nailwal, co-founder of Polygon Network and Sentient: The Open AGI Foundation, among others.

AI Usage at Work Is Exploding - But 71% of Tools Put Your Data at Risk

As AI becomes deeply integrated into critical business operations and adopted by increasing numbers of departments and employees, the volume and sensitivity of data flowing into these systems has grown exponentially. Companies now face a dual challenge: harnessing AI's potential while managing the substantial data risks it introduces.

Where Large Language Models (LLMs) meet Infrastructure Identity

Modern infrastructure is already complex, characterized by distributed environments, multi-cloud deployments, and dynamic change. Now add Large Language Models (LLMs) to the mix, and the challenge grows exponentially. Engineering leaders are under pressure to deliver innovation fast, while also safeguarding against breaches, misconfigurations, and human error. That’s why initiatives like eliminating static credentials, enforcing just-in-time access, and reducing SSH key sprawl are gaining traction.

The Shadow AI Data Leak Problem No One's Talking About

Is your team's favorite new productivity tool also your biggest data leak waiting to happen? Generative AI (GenAI) assistants like ChatGPT, Microsoft Copilot, and Google Gemini have quickly moved from novelty to necessity in many workplaces. These tools use machine learning and advanced algorithms to help employees draft content, analyze data, and even write code faster than ever before.