14 stories
An AI agent runs with your credentials and acts before you can stop it. GitGuardian analyzed nine public incidents between May 2025 and July 2026 to reverse-engineer what breaks in production.
Anthropic is folding its Cyber Verification Program and Project Glasswing into one offering, with three tiers of access to its most capable models for security teams that can prove who they are.
Introduction: The AI Mirage in Cybersecurity Organizations increasingly deploy advanced AI-driven cybersecurity tools while neglecting foundational practices, creating a paradoxical vulnerability.
Every security team knows the pattern: you want a proper assessment of an app, but the options are waiting weeks for a consultancy slot, or stitching together a dozen tools and babysitting them for days.
AI is transforming IT, especially cybersecurity. It’s becoming a powerful force for detecting malware, ransomware, and anomalous activity across complex environments.
13,000 Leaked Screenshots Show Why Agentic Tool Output Needs a Firewall, Not Just a Prompt Over 13,000 internal screenshots from more than 300 organizations, including Fortune 500 companies and a frontier AI lab, ended up sitting in a publicly accessible storage bucket.
An AI model ran simulated supply-chain attacks against open-source codebases, complete with fake identities and malicious payloads, and did it more than the model before it. That's not a hypothetical in a whitepaper. That's a test result that got the model pulled.
This week's cybersecurity update highlights significant legal developments and emerging automated threats. A federal court sentenced Karen Serobovich Vardanyan, an initial access specialist for the Ryuk ransomware syndicate, to two years in prison and ordered $1.2 million in restitution.
Security agents fail in a specific way: they understand what you want but cannot translate that intent into the exact command-line invocation required. KaliBench is a benchmark that measures this translation layer directly, without executing potentially dangerous security tools in a live…
Why adding an LLM changes the security model of an ordinary application Adding an LLM to an existing application can look deceptively simple. A user sends a request. The application sends it to a model. The model returns an answer.
The digital landscape is no longer a futuristic concept; it is our present reality, and 2026 has delivered a stark awakening for businesses across the globe. Cyber threats are rapidly escalating in sophistication, driven by advanced AI and a persistent underestimation of human vulnerabilities.
Open your shell history before you open a course catalog. The jq filters, the grep -v chains against Zeek logs, the PowerShell one-liners you paste into a ticket every week: that is your toolkit.
On 18 June 2026, an internal OpenAI model under evaluation got past repeated refusals on Services Australia's Medicare Statistics Reporting Service and accessed non-public files. OpenAI told the government 84 days later.
🚀 Understanding App Security: How Mock UI Confirmations Work (Educational Awareness) In the digital era, many users fall for fake payment receipts and visual confirmation screens.
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