Tag: what is ai autonomous agent

OpenAI OpenAI has announced a brand-new AI-powered web browser, dubbed ChatGPT Atlas, which is now available globally. Perhaps most memorably, Atlas features an “agent mode” — initially limited to paying Plus, Pro, and Business users — that acts as a natural extension of OpenAI’s forays into agentic AIs, meaning models intended to autonomously complete tasks. In the context of a browser, that means that users can watch the AI move the cursor as it navigate

Illustration by Tag Hartman-Simkins / Futurism. Source: Getty Images A hype cycle as overwhelming and logic-defying as the AI boom comes with its own whirlwind succession of trends that are their own mini booms driven by billions of dollars of money. Once the world got used to large language model-powered AI chatbots, autonomous AI agents became the next big thing. This past year, video generating models have been having their time in the Sun after rapid i

Getty / Futurism OpenAI unveiled its Atlas AI browser this week, and it’s already catching heat. Cybersecurity researchers are particularly alarmed by its integrated “agent mode,” currently limited to paying subscribers, that can attempt to do online tasks autonomously. Two days after OpenAI unveiled Atlas, competing web browser company Brave released findings that the “entire category of AI-powered browsers” is highly vulnerable to “indirect prompt inject

Forgotten AI agents may still access sensitive company data AI agents that have not run recently retain credentials and connections to company systems, according to Arrakis Security’s 2026 Autonomous Agents Threat Report. About 76% of enabled agents examined had not run in 60 days, leaving access available through inactive software. Agents by exposure family (Source: Arrakis Security) The analysis covered thousands of agents in customer production environm

Product showcase: Stellar Cyber’s ISOC platform provides full-cycle architecture An AI SOC that starts with somebody else’s alert is already too late. Stellar Cyber collects and normalizes telemetry, detects suspicious activity, correlates evidence, builds cases, investigates incidents, triages findings, and drives response from the same security architecture. That gives people and AI access to the evidence behind the alert – not just the alert itself. Ful

Illustration by Tag Hartman-Simkins / Futurism. Source: Getty Images With more money flowing into AI development than ever before, web browsers powered by autonomous “AI agents” are hitting the market like crazy. One of the most popular is Comet, offered by the startup Perplexity. Though Comet promises to organize your emails, summarize webpages, and automate your searches, it’s not without some glaring ethical and security flaws. And if you are reckless e

Getty / Futurism Researchers at Google’s Threat Intelligence Group (GTIG) have discovered that hackers are creating malware that can harness the power of large language models (LLMs) to rewrite itself on the fly. An experimental malware family dubbed PROMPTFLUX, identified by GTIG in a recent blog post, can rewrite its own code to avoid detection. It’s an escalation that could make future malware far more difficult to detect, further highlighting growing c

Longtime fears of AI going rogue are starting to feel more real, so much so that some lawmakers now want powerful AI systems to come with an emergency kill switch. U.S. Reps. Ted Lieu, a California Democrat, and Nathaniel Moran, a Texas Republican, introduced a bipartisan bill Thursday that would require major AI companies to make sure they have the ability to throttle, suspend, or shut down their most powerful AI. The so-called AI Kill Switch Act would al

Several AI security market categories are headed for bigger platforms In this interview with Help Net Security, Jonathan Care, Lead Analyst and Practice Lead AI at KuppingerCole Analysts, compares AI security startups to the early fraud market he helped define at Gartner. He explains which categories will survive as products and which will become features inside bigger platforms. Care talks about Q3 funding going to fewer, larger rounds, Israel’s share of

Getty Images Chinese hackers used Anthropic’s Claude AI model to automate cybercrimes targeting banks and governments, the company admitted in a blog post this week. Anthropic believes it’s the “first documented case of a large-scale cyberattack executed without substantial human intervention” and an “inflection point” in cybersecurity, a “point at which AI models had become genuinely useful for cybersecurity operations, both for good and for ill.” AI agen

Illustration by Tag Hartman-Simkins / Futurism. Source: Jorge Uzon / AFP via Getty Images Geoffrey Hinton, one of the three so-called “godfathers” of AI, never misses an opportunity to issue foreboding proclamations about the tech he helped create. During an hour-long public conversation with Senator Bernie Sanders at Georgetown University last week, the British computer science laid out all the alarming ways that he forecasts AI will completely upend soci

Are you badly fumbling the bag as a partner? Alternatively, are you staying in an obviously bad relationship with a thoughtless person who doesn’t seem to care about you? Finally, there’s an AI agent that will uphold your delusional belief that you can make it work. Meet Orchid AI. Based on its new ad and previous promotional content, Orchid AI appears to be an attempt to capture the thunder of the OpenClaw craze from earlier this year. Remember when a bun

Large Language Model (LLM) agents have become increasingly sophisticated, particularly in cybersecurity. Modern AI agents can autonomously hack mock “capture-the-flag” style websites and exploit real-world vulnerabilities when provided with descriptions. However, they struggle with real-world vulnerabilities that are unknown ahead of time, which also known as zero-day vulnerabilities. In a new paper Teams of LLM Agents can Exploit Zero-Day Vulnerabilities,

Getty / Futurism For many months now, AI companies have made a huge deal out of “AI agents,” meaning autonomous software systems that can make decisions and take actions on behalf of humans with minimal intervention. But when that ambitious vision will turn into a reality remains anybody’s guess. The current crop of agentic AI models is still getting easily tripped up, often requiring humans to jump in, effectively undercutting their purpose. The numbers r

Illustration by Tag Hartman-Simkins / Futurism. Source: Time Magazine It may not surprise you that Time magazine has elected to highlight the AI industry in its annual “Person of the Year” issue. Or should we say persons: the collective billionaire “architects of AI,” it announced. But what may surprise you is a new feature prominently displayed on Time’s website: a window for an AI chatbot. “Ask me anything,” it reads. It does not go away. Instead, the ch

Credit: Vienna University of Technology Artificial intelligence is becoming increasingly versatile—from route planning to text translation, it has long become a standard tool. But it is not enough for AI to simply deliver useful results: it is becoming ever more important that it also complies with legal, ethical, and social norms. But how can such norms be taught to a machine? At TU Wien, a new approach has now been developed. By combining machine learnin

GitHub Agentic Autofix and the question of who owns a bad AI patch In this Help Net Security interview, Marcelo Oliveira, VP of Product Management at GitHub, talks about who is accountable when an AI-generated patch fixes one flaw and introduces another. He explains how Agentic Autofix re-runs detection engines and project tests, and what a CISO should change before pointing an agent at thousands of old alerts. Oliveira also discusses which metrics show a

AWS Emulator: Open-source tool for testing AWS apps locally, built by autonomous AI agents Amazon Web Services has released AWS Emulator, a free tool that simulates AWS services on a developer’s laptop, a development server or in a continuous integration (CI) pipeline. The company says autonomous AI agents wrote the tool entirely, with no code written or reviewed by its engineers. There is no additional service fee, users pay for AWS resources when they de

For artificial intelligence to thrive in a complex, constantly evolving world, it must overcome significant challenges: limited data quality and scale, and a lag in new, relevant information creation. An intriguing question emerges—can language models autonomously generate new tasks to practice on, enabling them to self-improve and better align with human preferences? In a new paper Evolving Alignment via Asymmetric Self-Play, a research team from Google D

On the path to achieving artificial superhuman intelligence, a critical tipping point lies in a system’s ability to drive its own improvement independently, without relying on human-provided data, labels, or preferences. At present, most AI systems lack such recursive self-improvement capabilities, making this an ideal time to examine and define its characteristics and implications. In a new paper Boundless Socratic Learning with Language Games, researcher