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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AI agents don't just answer questions — they take actions, call APIs, read files, and execute code. That capability makes them powerful. It also makes them a new class of attack surface. Here is how indirect prompt injection works, why it is difficult to detect, and what defenders need to build into agentic systems now.
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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.
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.
Attackers are no longer breaking in. They are logging in. Compromised credentials and session tokens have made identity the primary attack vector in modern intrusions, and conventional security tooling was not built to detect it.
Attackers posed as venture capital firms on LinkedIn, guided victims through a spoofed meeting flow, and used clipboard injection to execute malicious code without a single exploit. The user completed the attack chain.
Attackers are using Google Cloud Storage, LinkedIn, and other trusted platforms as phishing redirectors, bypassing SPF, DKIM, and URL filters because the initial link points to a legitimate domain.