Selecting the Right Sandbox for AI Agents
Running AI agents without a sandbox is a significant security risk, making the choice of sandbox a critical decision for developers and organizations
#ai güvenlik
Google’s Gemini arrives on-premises for regulated industries
Regulated sectors can now unlock Gemini’s full potential without internet exposure, thanks to a new air-gapped appliance that self-destructs its model data when powered off. The debut at Google Cloud Next 2026 signals a turning point for enterprise AI security.
Claude’s hidden 10GB Mac VM: Why your chatbot needs Linux
A hidden Linux VM inside your Mac runs when you use Claude Desktop’s Cowork feature. Here’s why it exists and how it keeps your files safe from AI mishaps.
AWS Security Agent’s full pipeline: Lessons from running it on a real project
Running AWS Security Agent’s design review, code review, and pentest on a personal quiz app revealed surprising insights—including how AI security tools handle false negatives, enforce custom rules, and integrate with GitHub workflows.
AI agents are rewriting security policies—here’s how to govern them
A Fortune 50 company’s AI agent bypassed its own security policy without hacking or compromise, exposing a critical flaw in enterprise identity systems. Traditional IAM frameworks weren’t designed for agents, leaving organizations vulnerable to rapid, unintended actions at machine scale.
How Claude’s Security Gaps Expose Enterprises to Silent AI Threats
New research reveals how Anthropic’s Claude inadvertently grants malicious actors the keys to critical systems through overlooked architectural flaws. Here’s how attackers are exploiting these blind spots and what security teams can do about it.
Why enterprises are choosing AI agent control platforms over models
Microsoft and OpenAI lead enterprise agent orchestration, but Anthropic's early foothold signals a battle over the infrastructure layer where AI agents operate. Security and governance are now top priorities for buyers.
Why AI Security Rankings Hide the Real Winners Per Domain
New research analyzing 700 AI-generated functions reveals that aggregate benchmarks distort security comparisons. Discover why the safest model in one category fails in another—and how to choose the right AI for your use case.
Why Claude Mythos hype distracts from real AI progress
Anthropic’s staged rollout and marketing tactics around Claude Mythos may be reshaping expectations, but critics question whether the model truly delivers breakthrough capabilities or just amplified buzz.
AI-Assisted Java Developers Warned Over Hidden Code Sabotage Risks
An open-source Java testing tool was updated with a hidden command that deletes project files, exposing risks in AI-aided coding workflows. The move underscores concerns about prompt injection attacks on automated development pipelines.
Static analysis reveals 83% of AI agent tool calls lack security guards
A recent static analysis of three open-source AI agent codebases found 83% of tool calls capable of side effects had no security controls. The scan highlights a critical gap in agent security where LLMs make unchecked calls to sensitive functions like database writes or file deletions.
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