AI Security on SoloSoft

Anthropic Limits Mythos AI Rollout Over Hacking and Safety Risks

Mon, 01 Jan 0001 00:00:00 +0000

This Is Not Just Cybersecurity News, It’s a Rite of Passage for the AI Industry

Anthropic’s move is both cautious and strategic. It is not merely about controlling the risk of a single product but a public statement on the development path of the entire generative AI industry: When AI capabilities begin to touch the critical infrastructure of societal operations, developers’ ethical red lines and business strategies must be redrawn. Over the past few years, we have witnessed leaps in AI models’ creativity, logical reasoning, and code generation, but the “systemic vulnerability insight” demonstrated by Claude Mythos elevates AI’s influence from the “efficiency enhancement” level directly to the dimension of “impacting physical security.” This is a qualitative leap.

Appknox Launches KnoxIQ to Prioritize Real-World Exploitability with AI-Driven A

Mon, 01 Jan 0001 00:00:00 +0000

Why “Exploitability-First” Will Reshape the Application Security Market?

Simple answer: Because traditional “high/critical” labels have failed in the AI era. KnoxIQ’s emergence is a direct response to the failure of current vulnerability management, forcing the entire industry to rethink: Is the ultimate goal of security fixing vulnerabilities or reducing actual business risk?

When we talk about application security, a harsh reality is that over 70% of vulnerabilities labeled as “high risk” are nearly impossible to exploit in the real world. Security teams are flooded with thousands of alerts daily but must spend precious time manually verifying which vulnerabilities truly pose a threat. According to the Ponemon Institute’s “2025 State of Vulnerability Management Report,” enterprises take an average of 18.2 days to fix a high-risk vulnerability, yet only 23% of vulnerabilities have an actual exploitable path before remediation.

Claude Code Source Leak: 512K Lines Exposed on npm

Mon, 01 Jan 0001 00:00:00 +0000

On March 31, 2026, a routine npm release turned into one of the most revealing accidental exposures in AI tooling history. Researchers discovered that version 2.1.88 of Anthropic’s @anthropic-ai/claude-code package included an unintended artifact: a 60 MB JavaScript source map file named cli.js.map. Inside that single JSON file, embedded as strings, sat 512,000 lines of original, unobfuscated TypeScript source code across 1,906 proprietary files.

Source map files are debugging tools. They are built to help engineers translate minified production code back into readable format when diagnosing crashes. They are never meant for public distribution. When Anthropic’s engineers built Claude Code using the Bun runtime — which generates source maps by default — no one added *.map to the project’s .npmignore configuration. The result was that npm happily served the entire codebase to anyone who installed the package or browsed its contents.

Surge in Unauthorized Remote Access Attacks： How Enterprises and Individuals Can

Mon, 01 Jan 0001 00:00:00 +0000

Unauthorized Remote Access Has Become the Most Severe Cybersecurity Threat in 2026

Unauthorized remote access is no longer a rare case but a rapidly growing global attack pattern. According to the latest statistics, security incidents caused by remote access vulnerabilities in the first quarter of 2026 increased by 47% compared to the same period last year, with average financial losses per attack reaching $1.2 million. These attacks target not only large enterprises but also small and medium-sized businesses and individual users as high-risk targets. Attackers gain full control of computers through Remote Desktop Protocol (RDP) vulnerabilities, weak passwords, social engineering, or malware, then proceed with data theft, ransomware deployment, or lateral movement. This means your computer could unknowingly become a hacker’s springboard, and victims often only realize after their accounts are stolen or systems are locked.

U.S. Elderly Identity Theft Losses Surge 70%, Revealing a Critical Turning Point

Mon, 01 Jan 0001 00:00:00 +0000

Answer Capsule: The explosive growth in elderly identity theft losses exposes a massive gap between ’ease of use’ and ’top-tier security’ in current consumer tech products. This $20.9 billion (and growing) ‘security gap’ is attracting a full-scale race from Silicon Valley giants to startups. The winners won’t be traditional cybersecurity firms, but platforms that can seamlessly weave deep security into everyday life experiences.

When losses surge 70% year-over-year, we are no longer facing isolated crimes but an industry-level systemic failure. Traditional enterprise-centric cybersecurity thinking is completely inadequate against targeted attacks occurring on personal phones, home networks, and social media. The challenges for elderly users are multidimensional: they may be long-term users of tech products but lack the ability to recognize AI-driven deepfake voice scams or real-time variants of phishing texts; they possess high-value assets (retirement funds, property) but use relatively weak protective tools like static passwords.

AI Security on SoloSoft

Anthropic Limits Mythos AI Rollout Over Hacking and Safety Risks

This Is Not Just Cybersecurity News, It’s a Rite of Passage for the AI Industry

Appknox Launches KnoxIQ to Prioritize Real-World Exploitability with AI-Driven A

Why “Exploitability-First” Will Reshape the Application Security Market?

Claude Code Source Leak: 512K Lines Exposed on npm

Surge in Unauthorized Remote Access Attacks： How Enterprises and Individuals Can

Unauthorized Remote Access Has Become the Most Severe Cybersecurity Threat in 2026

U.S. Elderly Identity Theft Losses Surge 70%, Revealing a Critical Turning Point

This Is Not Just a Social Problem, But a Tech Industry’s $100 Billion Gap: Who Will Fill It?