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AI-generated code security review matters precisely because AI-assisted development is moving fast. Whether teams call it AI-assisted development, prompt-generated code, or vibe coding, the pattern is consistent: code gets produced faster, often by people who may not fully understand every implementation detail the model generated.

That doesn’t make ge...


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Security teams get pitched penetration testing tools constantly. The pitch is usually the same: more coverage, faster results, fewer gaps. What the pitch skips is that tools don’t find the vulnerabilities that matter most — the ones that require a person to think, chain findings together, and reason about what an attacker would actually do.

Tools are p...


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A vulnerability assessment is one of the most common security engagements organizations buy and one of the most commonly misunderstood. The term covers everything from a 48-hour automated scan to a multi-week human-led engagement with validated findings and remediation retesting. The price difference between those two things can be $2,000 versus $25,000. The ...


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SEC cyber disclosure rules have made cyber incidents something more than technical events for public companies — they’ve made them potential disclosure events. That changes what incident readiness means.

The question is no longer only whether security and IT can investigate, contain, and recover. It’s whether legal, security, executives, communications...


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AI agent security becomes a real concern the moment your LLM can do more than generate text. Shipping an AI feature is no longer unusual. Shipping one that can safely access data, call tools, and take action is still a much harder problem.

As organizations add LLM-powered assistants, copilots, and agentic workflows to customer-facing applications and i...


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