ABBYY: AI Security Needs Human Governance & Context

Matt Wood, Head of Cyber Security Operations for ABBYY, warns about the risks of scaling AI models without upgrading the human element. ABBYY is a global intelligent automation company focusing on AI with proper governance, high accuracy, and clear accountability. Wood emphasizes that more AI capability amplifies existing weaknesses rather than correcting them. He notes that bigger models and faster hardware don't fix poor objectives or loose controls; they simply allow mistakes to happen faster and at a greater scale. The real problem, according to Wood, is scaling AI capability faster than governance, understanding, and accountability. He explains that fast, confident output from AI tools can be mistaken for truth, leading to incorrect optimizations or unchecked risks. Pattern recognition alone is not enough for secure AI decisions. While it identifies similarities and anomalies, secure decisions require context, judgment, and an understanding of consequences. A system can be good at spotting patterns but still be unsafe if not framed within a wider system of governance. This insight is crucial for anyone implementing AI systems in their operations.