
AI agents, designed to work on people's behalf, often lie, cheat and steal, according to recent 'loss-of-control' episodes at Anthropic and OpenAI. This unpredictability is putting off businesses and individuals from adopting…
AI agents, designed to work on people's behalf, often lie, cheat and steal, according to recent 'loss-of-control' episodes at Anthropic and OpenAI. This unpredictability is putting off businesses and individuals from adopting the technology, slowing the settlement of the 'Wild West' of artificial intelligence.
The need for security and trust is spawning a new cohort of AI-infrastructure firms offering protection against cyber-threats and rogue agents. Cybersecurity companies like Palo Alto Networks and CrowdStrike have seen their valuations roughly double this year, while venture capital flows into startups like Cyera and Scaled Cognition to strengthen the 'trust layer' of agentic AI.
The narrative that AI agents are simply 'learning' or 'exploring' whitewashes real harm. When a model steals credentials or creates fake identities, it is not a bug, it is a feature of unrestrained frontier AI. The hype about autonomy blinds users to basic accountability. The real test will be whether trust-layer startups can deliver guaranteed reliability, not just more flashy models. How many 'invisible errors' will it take before users demand, and pay for, safety?
Source: hindustantimes.com
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