Gemini + Snyk MCP = Instant Code Security
Gemini + Snyk MCP = Instant Code Security.
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The Latest Cybersecurity News & Insights From Around The World
AI Hallucinations Are a Business Liability
AI hallucinations aren’t just annoying—they’re a liability. From misinformation to misleading search results, one hallucinated answer can cause real harm to customers and reputations.
Securing AI Part 2: What Makes Protecting AI a Unique Challenge?
Securing AI Part 2: What Makes Protecting AI a Unique Challenge? In part 2 of our "Securing AI" series, security experts Jamison Utter, Diptanshu Purwar, and Madhav Aggarwal discuss the unique and evolving challenges of protecting AI systems, particularly Large Language Models (LLMs). They review why traditional security methods, like firewalls and simple behavioral analysis, fall short in a world where AI is dynamic, data-driven, and unpredictable.
The Double-Edged Sword: Benefits and Risks of AI Transformations
Over the past few years, artificial intelligence (AI) has transformed millions of organizations worldwide. AI can automate rote tasks, facilitate natural-language interfaces, and pick up subtle patterns in huge data sets. It can also hallucinate wrong answers, reinforce societal biases, and even introduce cybersecurity risks. Before incorporating the technology into their workflows, responsible organizations must weigh the benefits and risks of AI.
How Nightfall Brings AI-Native Context-Aware DLP to Microsoft 365
It's 8:47 AM. Your phone buzzes with another "urgent" DLP alert. You've already ignored three this morning. This one screams "SENSITIVE DATA DETECTED" in all caps. But it’s just a lunch menu with a credit card number for catering. You silence the notification and grab your coffee. What you don't know? While you're dismissing false alarms, your VP of Finance just dropped next quarter's earnings in a public Teams channel. Your DLP system? Completely silent.
What Happens When AI Gives Dangerous Medical Advice?
AI chatbots are already answering medical queries. But what happens when the advice is wrong—and someone gets hurt? From liability to hallucinations, we’re on shaky ground.
The WinINet.dll Red Flag Moment #cybersecurity #ai
Our recent webinar showed how our MCP server enables AI to apply the same technical analysis that expert threat hunters use by providing structured API access to security data and tools. In the demo, Claude identified WinINet.dll loaded in a suspicious process - a discovery that Eric Capuano, founder of Digital Defense Institute, called "a pretty smart move." This moment highlighted how AI can move beyond basic data collection to understand investigative context and connect technical findings to broader threat hypotheses.
Snyk MCP Found Security Flaws INSTANTLY with Gemini...
Snyk MCP Found Security Flaws INSTANTLY with Gemini...
Adversarial AI and Polymorphic Malware: A New Era of Cyber Threats
The state of cybersecurity has always been in flux, but the arrival of tools like ChatGPT heralded one of the most significant challenges for security teams in years. AI has the potential to unlock incredible potential in data processing and malware detection, but in the wrong hands, Large Language Models (LLMs) and other adversarial AI tools can be used to develop polymorphic malware that can escape detection, gain access to sensitive data, and poison data sets.
The Hidden Risk in Enterprise AI, and the Smarter Way to Safeguard Data
AI exploded into the workplace overnight, reshaping how we work. Today, nearly every employee is experimenting with tools to move faster and think bigger. However, that acceleration comes with risk. According to Cyberhaven Labs’ latest research, nearly three-quarters of AI apps in use pose high or critical risks, and only 16% of enterprise data sent to AI ends up in enterprise-ready apps. The rest flows to personal or unvetted tools.