Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

The Future of Developer Upskilling Is Human-Led, AI-Supported

In the last year, generative AI has dramatically accelerated how software is written. Developers can generate entire functions with a prompt, automate repetitive logic, and offload everything from boilerplate code to documentation. But with this newfound speed comes a deeper, more complex challenge: ensuring that what’s being created is secure, trustworthy, and production-ready.

Validating the Mission: Zenity Labs Research Cited in Gartner's AI Platform Analysis

Research is what turns cybersecurity from a reactive scramble into a proactive discipline. It’s how security teams uncover new threats, pressure-test defenses, and understand the unintended consequences of innovation (especially as AI Agents reshape the attack surface).At Zenity, research isn’t a side effort. It’s how we build, challenge, and ultimately secure what’s next.

Shadow AI: Managing the Security Risks of Unsanctioned AI Tools

The explosion of generative artificial intelligence tools is sparking a wave of enthusiasm in workplaces, with employees eagerly embracing new applications to boost productivity and innovation. However, this adoption often leads to a new phenomenon known as shadow AI—the use of artificial intelligence tools within an organization without explicit approval or oversight from IT and security teams. Unsanctioned use of AI creates significant (and often invisible) security blind spots.

AI and Cybersecurity: Trends That Prove the Fundamentals Matter More Than Ever

AI is not just reshaping cybersecurity. It is exposing where many organizations remain vulnerable. While attackers are racing ahead with AI-powered tools, too many defenders are still relying on outdated strategies, siloed data, and manual processes. In conversations with security leaders, I hear the same concern repeatedly. The anxiety is not just about AI-enhanced threats. It is about the growing sense that defenders are falling behind.

AI Agents Never Sleep. The Future of Cybersecurity SOC Operations

AI agents are revolutionizing cybersecurity by handling the tedious false positive alerts that drain SOC analysts. As our security perimeter expands to the cloud, we're drowning in red blinking lights - but AI agents never tire and never sleep! Grant Oviatt from Prophet Security explains how AI is solving the alert fatigue problem that's plaguing security teams worldwide. Key Points: AI agents handle repetitive security tasks False positive alerts are overwhelming analysts Cloud expansion = more security alerts AI works 24/7 without fatigue.

Don't Be a Statistic: Proactive API Security in the Age of AI

Your business depends on APIs, which are essential for contemporary digital experiences, encompassing everything from mobile applications and IoT devices to the rapidly evolving AI landscape. With more than 80% of internet traffic now routed through APIs—a number projected to rise significantly due to AI developments—their security is crucial. Unfortunately, this vital infrastructure faces growing attacks, with these threats being a real and current danger to many.

The Growing Threat: Cybersecurity Challenges for SMBs in 2025

Hackers no longer target only the large players. In fact, cyberattacks on small to medium-sized businesses (SMBs) are becoming increasingly prevalent, with greater accuracy, frequency, and impact. Whether you operate an e-boutique or an offshore-first marketing firm, cyber threats are pounding at your virtual door-and they're not knocking, they're demanding entry. So, what's new? And why are SMBs now such tempting targets? Let's get to the bottom of it.

DeepSight by Protecto: AI-Native Sensitive Data Detection for Developers

Thanks to a wide range of use cases that automate manual activities, enterprises are rushing to integrate GenAI into their IT stack, only to realize they’ve hit a privacy wall. A concerning number of use cases involve the use of sensitive data like PII and PHI, risking data privacy and compliance. Enterprises today are becoming increasingly aware of these multifaceted risks associated with unfiltered AI usage and turning to the common solution available in the market – AI privacy tools.

AI Applications in Cybersecurity with Adam Winston - The 443 Podcast - Episode 331

This week on the podcast, recent guest Adam Winston hops back on to continue our discussion on Artificial Intelligence in cybersecurity. This week, we focus on how attackers are using AI, what to worry about and what not to lose sleep over, and guidance for evaluating AI for use within your own organization. The 443 Security Simplified is a weekly podcast that gets inside the minds of leading white-hat hackers and security researchers, covering the latest cybersecurity headlines and trends.

New Unrestricted AI Tool Can Assist in Cybercrime

Researchers at Certo warn that a new AI chatbot called “Veniceai” can allow cybercriminals to easily generate phishing messages or malware code. The tool, which only costs $18 per month, is growing in popularity on criminal forums. “One of the starkest contrasts between Veniceai and more mainstream AI systems like ChatGPT is how each responds to harmful or malicious requests,” Certo says.