Meet Aardvark, OpenAI’s security agent for code analysis and patching
OpenAI has introduced Aardvark, a GPT-5-powered autonomous security researcher agent now available in private beta. Designed to emulate how human experts identify and resolve software vulnerabilities, Aardvark offers a multi-stage, LLM-driven approach for continuous, 24/7/365 code analysis, exploit validation, and patch generation! Positioned as a scalable defense tool for modern software development environments, Aardvark is […]
Why IT leaders should pay attention to Canva’s ‘imagination era’ strategy
The rise of AI marks a critical shift away from decades defined by information-chasing and a push for more and more compute power. Canva co-founder and CPO Cameron Adams refers to this dawning time as the “imagination era.” Meaning: Individuals and enterprises must be able to turn creativity into action with AI. Canva hopes to […]
Meta researchers open the LLM black box to repair flawed AI reasoning
Researchers at Meta FAIR and the University of Edinburgh have developed a new technique that can predict the correctness of a large language model’s (LLM) reasoning and even intervene to fix its mistakes. Called Circuit-based Reasoning Verification (CRV), the method looks inside an LLM to monitor its internal “reasoning circuits” and detect signs of computational […]
Vibe coding platform Cursor releases first in-house LLM, Composer, promising 4X speed boost
The vibe coding tool Cursor, from startup Anysphere, has introduced Composer, its first in-house, proprietary coding large language model (LLM) as part of its Cursor 2.0 platform update. Composer is designed to execute coding tasks quickly and accurately in production-scale environments, representing a new step in AI-assisted programming. It’s already being used by Cursor’s own […]
Anthropic scientists hacked Claude’s brain — and it noticed. Here’s why that’s huge
When researchers at Anthropic injected the concept of “betrayal” into their Claude AI model’s neural networks and asked if it noticed anything unusual, the system paused before responding: “I’m experiencing something that feels like an intrusive thought about ‘betrayal’.” The exchange, detailed in new research published Wednesday, marks what scientists say is the first rigorous […]
From static classifiers to reasoning engines: OpenAI’s new model rethinks content moderation
Enterprises, eager to ensure any AI models they use adhere to safety and safe-use policies, fine-tune LLMs so they do not respond to unwanted queries. However, much of the safeguarding and red teaming happens before deployment, “baking in” policies before users fully test the models’ capabilities in production. OpenAI believes it can offer a more […]
Agentic AI is all about the context — engineering, that is
Presented by Elastic As organizations scramble to enact agentic AI solutions, accessing proprietary data from all the nooks and crannies will be key By now, most organizations have heard of agentic AI, which are systems that “think” by autonomously gathering tools, data and other sources of information to return an answer. But here’s the rub: […]
IBM’s open source Granite 4.0 Nano AI models are small enough to run locally directly in your browser
In an industry where model size is often seen as a proxy for intelligence, IBM is charting a different course — one that values efficiency over enormity, and accessibility over abstraction. The 114-year-old tech giant’s four new Granite 4.0 Nano models, released today, range from just 350 million to 1.5 billion parameters, a fraction of […]
Security’s AI dilemma: Moving faster while risking more
Presented by Splunk, a Cisco Company As AI rapidly evolves from a theoretical promise to an operational reality, CISOs and CIOs face a fundamental challenge: how to harness AI’s transformative potential while maintaining the human oversight and strategic thinking that security demands. The rise of agentic AI is reshaping security operations, but success requires balancing […]
The missing data link in enterprise AI: Why agents need streaming context, not just better prompts
Enterprise AI agents today face a fundamental timing problem: They can’t easily act on critical business events because they aren’t always aware of them in real-time. The challenge is infrastructure. Most enterprise data lives in databases fed by extract-transform-load (ETL) jobs that run hourly or daily — ultimately too slow for agents that must respond […]