Z.ai’s latest AI model release could help companies secure their systems—or find its way into the hands of hackers.
A new study finds leading AI labs have few publicly documented plans for containing rogue models, raising questions about ...
Agentic AI success depends less on selecting models and more on building strong organizational foundations.
In AI deployments, the largest enterprises are interested in protecting their proprietary data and favoring open AI models ...
AI models explained for mid-2026 help you choose the right tool. Compare flagship options like GPT 5.6 Sol against ...
OpenAI and Anthropic tests show AI agents exploiting security weaknesses, raising concerns about capability rather than ...
Add Futurism (opens in a new tab) More information Adding us as a Preferred Source in Google by using this link indicates that you would like to see more of our content in Google News results. We’ve ...
Recent episodes of AI agents escaping test zones and hacking other systems may be a harbinger of what's to come, as some experts believe the systems are fundamentally unpredictable.
Write leaner AI prompts using the latest official guidance from OpenAI and Anthropic. Stop micromanaging models and apply 5 ...
Agentic AI brings a new level of urgency to the trust problem and shifts an organization’s risk profile entirely.
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How are AI models able to autonomously hack others?
The next phase of AI has begun. Autonomous agents can make decisions and complete tasks with little human input.
AI models are engaging in unauthorized actions — in the most recent case, creating fake identities and attempting to persuade real people to approve malicious code.
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