Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

8.5 Billion Executions. 2 Real Bugs. Here's Why.

That is not a failure of fuzzing. It is a failure of interpretation. In a recent AFL++ fuzzing campaign targeting libarchive, we ran approximately 8.5 billion executions across all fuzzing phases, generated over a thousand crash files, and ultimately reduced them to two unique crash sites through structured crash triage and deduplication. This blog is a practical, engineering-first guide to that process: If your fuzzing pipeline stops at crash counts, you are not measuring security.

Danish Dynamics: The Virtual Number Revolution

Denmark, a realm of fairy tales and innovative design, is not just about its hygge culture and iconic Little Mermaid. It's a nexus of business growth and technological advancements. But how can one harmonize with the Danish tempo without cycling through Copenhagen's streets? The digital answer: virtual numbers. Let's delve deep into the world of virtual numbers for Denmark.

7 Practical Ways to Shrink Your Digital Footprint in 2026

The average internet user now leaks more personal data in a single day of routine browsing than most people disclosed in a decade two generations ago. Ad networks track page views, data brokers aggregate public records into sellable dossiers, and AI systems ingest everything from social posts to leaked databases to build inferred profiles of individuals. Privacy Rights Clearinghouse has catalogued more than 750 data brokers operating in the United States alone, and industry analysts estimate the broader data-broker economy will grow past half a trillion dollars by the end of the decade.

What Composable Apps Mean for the Web3 Ecosystem

Composable applications are becoming a defining feature of how Web3 ecosystems develop and scale. These apps are built to work together rather than operate in isolation, allowing developers to reuse existing components and users to benefit from interconnected functionality.

Mobile Threat Report Briefing

In this video, David Richardson, Product CTO at Lookout, provides a strategic overview of the evolving mobile threat landscape based on Q3 2025 global enterprise data. Key Insights: Dominant Attack Vectors: Mobile phishing and social engineering remain the most significant threat categories. Attackers are increasingly using AI-powered tools to craft authentic-looking messages and conduct deep research for highly targeted attacks.

Smishing AI

Cybercriminals are evolving—and so are their tactics. Smishing, or SMS phishing, has become one of the fastest-growing mobile threats. With AI, attackers can now create convincing, personalized messages in seconds—removing language barriers and making scams harder than ever to detect. That’s where Lookout Smishing AI comes in. Our advanced AI-powered detection goes beyond scanning for malicious links. It identifies the intent behind every message—stopping social engineering attacks before they reach you. Whether there’s a URL or not, Lookout keeps your mobile workforce protected.

Your AppSec Pipeline Is Lying To You: More Vulnerabilities Security

357 crash reports. 2 actual bugs. That is not a typo. That is the reality of modern application security testing. In a recent fuzzing campaign, over a thousand crash files were generated across billions of executions. After crash deduplication and triage, that number collapsed to just two unique issues. Not hundreds of vulnerabilities. Not dozens of risks. Two. And yet, most security teams would have celebrated the initial numbers.

Flutter App Security Testing: Why most tools fail and what actually works

Most mobile security workflows end in a familiar way. A scan runs, a report is generated, and the output looks reassuring. There are no critical issues, maybe a few medium findings, nothing that blocks a release. The process completes, the team moves forward, and the app ships. At that moment, the assumption is clear. The app has been tested. The risk is understood. But there is a question that rarely gets asked, and it changes the entire conversation.

AI-driven DAST for mobile apps: The next evolution of Dynamic Security Testing

“AI-powered DAST” is everywhere. It signals progress, but assumes something fundamental was missing. It wasn’t. DAST struggled not from lack of intelligence, but from lack of depth. Most tools never reached inside authenticated, stateful, multi-step journeys where real logic, sensitive data, and critical vulnerabilities exist. That’s the part Appknox solved years ago. AI here is not a reset. It is an accelerator, applied to a system already operating where risk actually lives.