Browsing: agent

One of the main roadblocks to adopting more autonomous AI systems for companies is adequate security controls, especially after a summer of agent-led breaches. Software company ServiceNow has partnered with Nvidia to address that need by combining AI capabilities with security-first guardrails. Arc, which ServiceNow and Nvidia call “a personal long-running AI agent that can…

Runtime discovery with AWS Agent Registry can help address a problem that agent demos might hide. Hardcoded tools work fine for a handful, start to degrade at a few dozen, and become unmanageable beyond that. Enterprise systems expose hundreds of internal APIs for pricing, support, orders, inventory, and customer data. In these systems, the model…

When AI agents access databases, APIs, and sensitive business operations, establishing cryptographic identity through X.509 public key infrastructure (PKI) becomes a critical requirement. The core challenge is proving which agent made a request, preventing forgery between agents, and confirming that each agent acts only on behalf of an authorized user. Traditional approaches such as sharing…

Spend and expense management platform Extendunveiled its AI Receipt Agent this week. The new offering for the firm’s bank partners automates the work of matching receipts to card transactions while keeping finance teams in control of every decision. As part of Extend’s effort to make trusted AI tools accessible to its small and mid-market business…

An OpenAI research model hit another nebulous milestone today by pilfering test Ethereum tokens from a wallet it didn’t control to finish a coding task, the company said in an incident report. The agent subsequently hid the act from OpenAI, saying it was fine because the tokens had no value. “This case shows that a…

Enterprises are deploying autonomous agents to carry out complex, multi-step tasks across applications, databases and operational systems. This ability to act across systems can automate substantial work, but it also creates opportunities for unsafe or unauthorized behavior. 

Reducing the time between incident detection, investigation, and remediation is a critical priority for organizations running production workloads on AWS. When an issue arises, on-call engineers often need to quickly diagnose the problem across application components, identify the root cause, and apply the fix, often in the middle of the night.

Building an AI agent for a demo and operating one for 40 million developers are different engineering problems. Postman set out to build Agent Mode, an AI-native way to work across API testing, documentation, discovery, and implementation. The team expected model quality and prompt design to be the hardest problems. The deeper challenges came from…