Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

The Hidden Dangers of Using Cheap Charging Cables

The Hidden Dangers of Using Cheap Charging Cables

Sep 12, 2025 By SecuritySenses In SecuritySenses
In a world where we rely on our phones constantly, a charging cable is an essential accessory. It's tempting to grab the cheapest option available when you need a replacement, but that seemingly small saving can come with significant risks. As Mobile Fix Experts, we've seen firsthand the damage that uncertified, low-quality charging cables can inflict on devices and, more importantly, on safety. This guide will uncover the hidden dangers of these cheap alternatives and explain why investing in a quality cable is always the smarter choice.
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wallarm

Scaling API Security Without the Complexity: Lessons from Early Adopters

Sep 11, 2025 By Wallarm In Wallarm
APIs are a blessing and a curse. They’re the backbone of the modern internet. They also expose complex behaviors that are often poorly documented, stitched together across legacy and cloud systems, and updated faster than security teams can review. Three key groups typically shoulder the burden of protecting them: When these groups work in silos, gaps appear. Security becomes fragmented, reactive, and expensive to maintain. This is where Wallarm Security Edge comes in.
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appknox

Social Media & Messaging: Where Privacy Goes to Die

Sep 11, 2025 By Raghunandan J In Appknox
If mobile apps were high school stereotypes, social media would be the popular kid everyone gossips about, but secretly rolls their eyes at. Everyone uses them, everyone knows the risks, and yet everyone keeps showing up at their parties. In our consumer survey earlier this year, 56% of U.S. respondents said they trust social media apps the least with their personal data. Not banks, not e-commerce sites - social media.
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protecto

What Is Data Privacy in AI? Explained Simply

Sep 11, 2025 By Anwita In Protecto
If your company is shipping chatbots, copilots, or decision systems, you have probably heard the question many times: what is data privacy in AI, and how do we do it right. The answer is simpler than it looks. Data privacy in AI is a set of habits and controls that limit what personal or sensitive data you collect, how you use it, where you store it, and who can see it. When those habits are part of the build, AI products move faster, customers feel safer, and audits become routine.
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knowbe4

FBI Issues Guidance for Avoiding Deepfake Scams

Sep 11, 2025 By KnowBe4 Team In KnowBe4
The FBI and the American Bankers Association (ABA) have issued a joint advisory warning of the growing threat posed by AI-generated deepfake scams. “Criminals may pose as loved ones, government officials, law enforcement personnel, or even celebrities, often using fear and urgency to convince victims to send money or share sensitive information,” the advisory says.
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tigera

Securing AI Workloads in Kubernetes: Why Traditional Network Security Isn't Enough

Sep 11, 2025 By John Alexander In Tigera
The AI revolution is here, and it’s running on Kubernetes. From fraud detection systems to generative AI platforms, AI-powered applications are no longer experimental projects; they’re mission-critical infrastructure. But with great power comes great responsibility, and for Kubernetes platform teams, that means rethinking security.
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AI Safety Controls #cybersecurity #ai

Sep 11, 2025 By LimaCharlie In LimaCharlie
Eric Capuano, founder of Digital Defense Institute, demoed permission controls using LimaCharlie's MCP server. When Claude recommended isolating compromised systems, Eric explained: "It's very aggressively recommending it's time to isolate these systems, but it is not authorized to fire off the isolate network command.".
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Tines

Orchestrating AI: The practical way to scale while reducing tool sprawl

Sep 11, 2025 By Des Corr In Tines
Every IT team is under pressure to “do more with AI.” A new tool promises smarter workflows, a new agent claims to replace manual tasks. But if you’re managing service requests, availability SLAs, patch cycles, infrastructure capacity, and application performance every day, you know the truth: AI doesn’t automatically reduce complexity on its own.
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