All posts
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Deepfake Cybersecurity: How AI Voice Cloning Reshapes Fraud
Voice deepfake incidents rose 680% in 2025 as attackers clone executives from seconds of audio. Here is what security teams need to know about detection, FBI advisories, and NIST standards.
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Machine Learning Security: Governance and Supply Chain Risk
Machine learning security requires more than adversarial testing. This guide maps NCSC attack categories to NIST AI RMF controls and covers model supply chain risks that most organizations haven't addressed.
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Most Remediation Programs Never Confirm the Fix Actually Worked
Mandiant M-Trends 2026 puts mean time to exploit at negative seven days while Verizon's 2025 DBIR finds edge devices take 32 days to remediate. The deeper problem: closing tickets is not the same as closing exposures.
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How AI Fraud Detection Works: Techniques, Trade-offs, and Next
AI fraud detection systems catch 70–90% more suspicious activity than rules-based methods. Here's how machine learning, graph neural networks, and behavioral analysis work — and where the structural gaps remain.
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LLM Security Risks: The Top Threats to Language Models in 2025
Prompt injection, data poisoning, excessive agency, and system prompt leakage — a practitioner breakdown of the LLM security risks catalogued by OWASP and NIST for 2025 deployments.
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RubyGems Suspends Signups After Hundreds of Malicious Packages
RubyGems has temporarily disabled new account registrations after attackers uploaded hundreds of malicious packages and launched a DDoS campaign against the popular Ruby package registry.
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Generative AI Risks: A Practitioner's Guide to What Matters
From prompt injection to supply chain poisoning, the generative AI risk landscape is broader than most security teams realize. Here is what the frameworks say and what attackers are doing.
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Machine Learning Security: Key Threats, Attacks, and Defenses
Machine learning security covers adversarial attacks, data poisoning, model theft, and supply chain risks targeting ML systems. Here is what practitioners need to know.
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ChatGPT Security: Key Risks, Vulnerabilities, Enterprise Controls
From DNS-based data exfiltration and command injection in Codex to credential theft and prompt injection, here is what security teams need to know about ChatGPT security in practice.
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AI Agents Are Rewriting the Threat Model: Are Defenders Ready?
Three incidents in three months — Clinejection, the FortiGate campaign, and the OpenClaw exposure wave — show how autonomous AI assistants are collapsing the boundaries security programs were built around.
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Cybersecurity Burnout Is a Structural Problem, Not a Personal One
A Sophos survey of 5,000 practitioners found 76% experiencing burnout — and it's getting worse. As AI accelerates vulnerability discovery, the operating model that created this problem is about to be stress-tested even harder.
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