Why most organizations are getting AI security wrong (and why it’s about to catch up with them)
THE SO WHAT
Most teams are still treating AI security as model and data protection, while runtime issues — prompt injection, data exfiltration, agent abuse — remain exposed. If you’re in production with LLMs, add a dedicated review of inference-time threats and access paths this week, not after your first incident.
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