Original analysis and technical commentary on cybersecurity events, detection engineering, cloud security, and enterprise defense — written for practitioners who want clarity alongside context.
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Companies are locking down how employees use AI while ignoring the software that runs it. Vulnerable gateways, framework bugs, and poisoned plugins are turning the AI stack itself into a single point of compromise.
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Generative AI has collapsed the cost of cloning a voice or a face, and attackers are folding it into social engineering that defeats the fallback every organization relies on: "let's get on a call." A $25M deepfake fraud shows how far the channel has shifted.
Organizations are securing their AI platforms while leaving the browser layer wide open. A standard extension with DOM access can silently read every AI session an employee runs and ship the contents to an attacker in real time. No exploit required.
State-backed DPRK hackers are running fake job interviews, backdoored coding tests, and AI-generated personas to compromise developer workstations at scale, funding a nuclear weapons program one stolen wallet at a time.
AI agents do not just answer questions. They take actions, call APIs, read files, and execute code. That autonomy is powerful and it creates a new class of attack surface. Here is how indirect prompt injection works and what defenders need to build into agentic systems now.
Attackers don't need to break in anymore. By poisoning the open-source libraries, CI/CD pipelines, and build tools developers already trust, they execute malicious code inside legitimate environments with real credentials and nothing for traditional defenses to flag.
Voice phishing bypasses email gateways, URL scanners, and awareness training, landing in real time with no artifact to analyze. Attackers impersonate IT helpdesks, banks, and executives to extract credentials and OTPs on live calls.