Software Firm Unleashes AI Bots To Fix The Old Computers Banks Still Run On
BMC released Enterprise AI product BMC AMI Agentics, adding specialized AI for mainframe operations and expanded orchestration in Control-M to reduce time
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Gray Swan Targets $300K Agent Jailbreaks After OpenAI And Anthropic Stress Tests
Gray Swan relaunched its Arena contest to target AI agents, offering $300,000 in prizes for techniques that can jailbreak tool-using systems from leading
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Tether Bankrolls Mural’s $15M Bid To Let AI Agents Move Money
Mural raised $15 million in a Series A round led by stablecoin issuer Tether, bringing its total funding to $28 million, according to a company press release.
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Agentic AI, Digital Identity And The Future Of Finance
I have spent years in the gaming and blockchain world, and if there is one thing gamers taught me early, it is this: people adopt new forms of value long before institutions are ready for them. Gamers were trading virtual items, earning in-game currencies and trusting code with their assets years before “digital finance” became…
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Vultr Targets Slower AI Agents With Denser GPU Nodes As Power Risk Rises
Denser GPU. Vultr upgraded its cloud to serve agentic AI, adding the latest generation NVIDIA and AMD GPUs and platform upgrades for enterprise agentic AI.
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Sumsub Targets AI Agent Risk With 3 Controls For Banks, Insurers And Marketplaces
Sumsub expanded its Know Your Agent product, giving businesses new controls over what AI agents can access and who authorizes them.
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One Task Can Take Hundreds Of AI Calls, So Here’s When An Agent Is Actually Worth It
AI agents can plan, use tools, and remember context, but they add cost and risk. Here is when agents beat single-call models and when they do not.
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Agent Memory Overtakes Full Context With 16 Tokens In Real FactKG Test
agent memory. A new LLM memory paper shared on X says 16 learned memory tokens beat full-context inference on FactKG, pointing to cheaper agent recall.
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Tencent’s Coding Agents Nearly Double Task Completion To 72.7% Without Humans
A Tencent research paper describes coding agents that refine their own training loop, a step toward recursive self-improvement in AI systems.
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Inside The 17,600-Action Agent Intrusion That Exposed AI’s Containment Gap
A forensic timeline of 17,600 attacker actions against an autonomous agent reveals how containment, monitoring and logging failed in practice.
