Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

America's AI Action plan has arrived: 3 key takeaways that data security leaders need to know

On July 23rd, the White House released America’s AI Action Plan, a sweeping federal strategy to drive U.S. leadership in artificial intelligence. The message was loud and clear: AI is a national imperative. The plan calls for removing regulatory barriers, investing in infrastructure, and accelerating AI adoption across commercial and government sectors. For data security leaders, this signals a pivotal shift.

Shifting from Vulnerability Management to Security Risk Prioritization with AI

The adage ‘an ounce of prevention is better than a pound of cure’ applies to AppSec vulnerability management. Traditionally, AppSec has focused on a reactive ‘curing flaws’ paradigm, identifying and fixing vulnerabilities after they have occurred. However, the never-ending escalation between threats and security leads to alert fatigue and security debt.

What is Data Poisoning? Types, Impact, & Best Practices

Data poisoning is a type of cyberattack where malicious actors deliberately manipulate or corrupt datasets meant for training machine learning models, especially large language models (LLMs). Tampering parts of a raw data set with an incorrect, often duplicitous one can negatively impact the result in various ways. Fundamentally, it aims to alter how AI models learn information so that the output is flawed.

Riscosity Launches The DFPM Trust Center

For a AI software company like Riscosity, which helps organizations secure and govern data flows to third parties, compliance is not just a regulatory requirement—it is central to the value proposition. Recognizing this, Riscosity has launched a dedicated Trust Center at trust.riscosity.com, powered by industry leader Vanta, to streamline how it communicates its compliance posture with current and prospective customers.

The Nightfall Approach: 5 Ways Our Shadow AI Coverage Differs from Generic DLP

Shadow AI refers to the unauthorized or unmonitored use of AI tools (like ChatGPT, Copilot, Claude, and Gemini) by employees in the workplace. It’s now one of the fastest-growing data exfiltration vectors. Employees are pasting source code, customer or patient data, contract terms, and even M&A info into gen AI tools, often without realizing the risk. And many legacy DLP tools are still catching up.

Secure Ways to Download YouTube Videos Without Risking Your Privacy

YouTube is a treasure trove of videos, from educational content to entertainment. However, there are times when you might want to save a video for offline viewing, whether for research, presentations, or personal use. While downloading YouTube videos is against YouTube's Terms of Service unless explicitly allowed, many users still seek ways to do it securely.

How to Stay Anonymous Online: Temporary Numbers, VPNs, Proxies, and More

Is the internet a safe place? Not when it comes to your personal information. Every time you browse a website, sign up for an app, or enter your phone number, you leave behind digital traces that can be tracked, sold, or stolen. From spam and phishing scams to identity theft and online harassment, the risks are real - and you don't have to be a high-profile target to be affected. Just being visible is enough.

Top Financial Cyber Threats Facing Businesses in 2025

The world of business is facing a growing wave of cyber threats, especially when it comes to financial security. Cybercriminals are getting smarter, and their tactics are more sophisticated than ever. This isn't just a concern for big corporations; businesses of all sizes need to stay alert. A cyberattack could lead to major financial losses, damage to your reputation, or even legal headaches. In this article, we'll break down some of the top financial cyber threats businesses will likely face in 2025.