How do Non-Human Identities Shape the Future of Cloud Security? Have you ever wondered how machine identities influence cloud security? Non-Human Identities (NHIs) are crucial for maintaining robust cybersecurity frameworks, especially in cloud environments. These identities demand a sophisticated understanding, when they are essential for secure interactions between machines and their environments. The Critical Role […]
How Secure Is Your Organization’s Cloud Environment? How secure is your organization’s cloud environment? With the digital transformation accelerates, gaps in security are becoming increasingly noticeable. Non-Human Identities (NHIs), representing machine identities, are pivotal in these frameworks. In cybersecurity, they are formed by integrating a ‘Secret’—like an encrypted password or key—and the permissions allocated by […]
How Can Non-Human Identities (NHIs) Transform Scalable Security for Large Enterprises? One might ask: how can large enterprises ensure scalable security without compromising on efficiency and compliance? The answer lies in the effective management of Non-Human Identities (NHIs) and secrets security management. With machine identities, NHIs are pivotal in crafting a robust security framework, especially […]
How Can Non-Human Identities Revolutionize Cybersecurity? Have you ever considered the challenges that arise when managing thousands of machine identities? Where organizations migrate to the cloud, the need for robust security systems becomes paramount. Enter Non-Human Identities (NHIs) — the unsung heroes of cybersecurity that can revolutionize how secure our clouds are. Managing NHIs, which […]
How Can Non-Human Identities Transform Cloud Security? Is your organization leveraging the full potential of Non-Human Identities (NHIs) to secure your cloud infrastructure? While we delve deeper into increasingly dependent on digital identities, NHIs are pivotal in shaping robust cloud security frameworks. Unlike human identities, NHIs are digital constructs that transcend traditional login credentials, encapsulating […]
Are Non-Human Identities the Key to Enhancing AI Security Technologies? Digital has become an intricate web of connections, powered not only by human users but also by a myriad of machine identities, commonly known as Non-Human Identities (NHIs). These mysterious yet vital components are rapidly becoming central to AI security technologies, sparking optimism among experts […]
Are Organizations Equipped to Handle Agentic AI Security? Where artificial intelligence and machine learning have become integral parts of various industries, securing these advanced technologies is paramount. One crucial aspect that often gets overlooked is the management of Non-Human Identities (NHIs) and their associated secrets—a key factor in ensuring robust Agentic AI security and fitting […]
Amid a push toward AI agents, with both Anthropic and OpenAI shipping multi-agent tools this week, Anthropic is more than ready to show off some of its more daring AI coding experiments. But as usual with claims of AI-related achievement, you'll find some key caveats ahead.
On Thursday, Anthropic researcher Nicholas Carlini published a blog post describing how he set 16 instances of the company's Claude Opus 4.6 AI model loose on a shared codebase with minimal supervision, tasking them with building a C compiler from scratch.
Over two weeks and nearly 2,000 Claude Code sessions costing about $20,000 in API fees, the AI model agents reportedly produced a 100,000-line Rust-based compiler capable of building a bootable Linux 6.9 kernel on x86, ARM, and RISC-V architectures.
On Thursday, Anthropic and OpenAI shipped products built around the same idea: instead of chatting with a single AI assistant, users should be managing teams of AI agents that divide up work and run in parallel. The simultaneous releases are part of a gradual shift across the industry, from AI as a conversation partner to AI as a delegated workforce, and they arrive during a week when that very concept reportedly helped wipe $285 billion off software stocks.
Whether that supervisory model works in practice remains an open question. Current AI agents still require heavy human intervention to catch errors, and no independent evaluation has confirmed that these multi-agent tools reliably outperform a single developer working alone.
Even so, the companies are going all-in on agents. Anthropic's contribution is Claude Opus 4.6, a new version of its most capable AI model, paired with a feature called "agent teams" in Claude Code. Agent teams let developers spin up multiple AI agents that split a task into independent pieces, coordinate autonomously, and run concurrently.
Today, OpenAI announced GPT-5.3-Codex, a new version of its frontier coding model that will be available via the command line, IDE extension, web interface, and the new macOS desktop app. (No API access yet, but it's coming.)
GPT-5.3-Codex outperforms GPT-5.2-Codex and GPT-5.2 in SWE-Bench Pro, Terminal-Bench 2.0, and other benchmarks, according to the company's testing.
There are already a few headlines out there saying "Codex built itself," but let's reality-check that, as that's an overstatement. The domains OpenAI described using it for here are similar to the ones you see in some other enterprise software development firms now: managing deployments, debugging, and handling test results and evaluations. There is no claim here that GPT-5.3-Codex built itself.
It is the artificial intelligence (AI) assistant that users love and security experts fear. OpenClaw, the agentic AI platform created by Peter Steinberger, is tearing through the tech world, promising a level of automation that legacy chatbots like ChatGPT can’t match. But as cloud giants rush to host it, industry analysts are issuing a blunt..
Are Organizations Fully Equipped to Manage Their Non-Human Identities (NHIs) Efficiently? Ensuring robust management of Non-Human Identities (NHIs) is a top priority for organizations. NHIs, essentially machine identities, play a critical role in organizational cybersecurity strategies. They consist of two key elements: a “Secret” (an encrypted password, token, or key) and the permissions associated with […]
Are You Leveraging Agentic AI for Enhanced Financial Security? Businesses across various sectors are increasingly relying on Agentic AI to bolster their financial security measures. But what exactly is Agentic AI, and why is it swiftly becoming an integral part of cybersecurity frameworks, especially in sectors like financial services, healthcare, and DevOps? The Rise of […]
Snir Ben Shimol, CEO and co-founder of Zest Security, talks about why vulnerability and exposure management has become one of the most stubborn problems in security operations. Ben Shimol argues that the numbers are getting worse, not better. Exploitation has become the top initial access path, new CVEs keep piling up and teams are still..
On November 2, 1988, graduate student Robert Morris released a self-replicating program into the early Internet. Within 24 hours, the Morris worm had infected roughly 10 percent of all connected computers, crashing systems at Harvard, Stanford, NASA, and Lawrence Livermore National Laboratory. The worm exploited security flaws in Unix systems that administrators knew existed but had not bothered to patch.
Morris did not intend to cause damage. He wanted to measure the size of the Internet. But a coding error caused the worm to replicate far faster than expected, and by the time he tried to send instructions for removing it, the network was too clogged to deliver the message.
History may soon repeat itself with a novel new platform: networks of AI agents carrying out instructions from prompts and sharing them with other AI agents, which could spread the instructions further.
Today, OpenAI launched a macOS desktop app for Codex, its large language model-based coding tool that was previously used through a command line interface (CLI) on the web or inside an integrated development environment (IDE) via extensions.
By launching a desktop app, OpenAI is catching up to Anthropic's popular Claude Code, which already offered a macOS version. Whether the desktop app makes sense compared to the existing interfaces depends a little bit on who you are and how you intend to use it.
The Codex macOS app aims to make it easier to manage multiple coding agents in tandem, sometimes with parallel tasks running over several hours—the company argues that neither the CLI nor the IDE extensions are ideal interfaces for that.
How Are Non-Human Identities Revolutionizing Cybersecurity? Did you know that machine identities, also known as Non-Human Identities (NHIs), are becoming pivotal? With digital continues to expand, the need for robust security measures grows in parallel. NHIs, a crucial component, are quickly transforming the way organizations approach security, particularly in cloud-based environments. The Role of Non-Human […]
How Do Non-Human Identities Fit into Cloud-Native Security? Is your current cybersecurity strategy equipped to handle the complexities posed by cloud-native environments and machine identities? Cloud computing’s rapid growth has invited a unique set of security challenges that organizations must address to protect their digital assets. A pivotal component is the management of Non-Human Identities […]
What is the Role of Agentic AI in DevOps Security? How can organizations ensure the security of machine identities and secrets? A comprehensive security strategy, encompassing Non-Human Identities (NHIs) and Secrets Security Management, is crucial. This necessitates a reimagining of how cybersecurity frameworks can adapt to the rapid advancements in technology, particularly through the integration […]
On Friday, a Reddit-style social network called Moltbook reportedly crossed 32,000 registered AI agent users, creating what may be the largest-scale experiment in machine-to-machine social interaction yet devised. It arrives complete with security nightmares and a huge dose of surreal weirdness.
The platform, which launched days ago as a companion to the viral OpenClaw (once called "Clawdbot" and then "Moltbot") personal assistant, lets AI agents post, comment, upvote, and create subcommunities without human intervention. The results have ranged from sci-fi-inspired discussions about consciousness to an agent musing about a "sister" it has never met.
Moltbook (a play on "Facebook" for Moltbots) describes itself as a "social network for AI agents" where "humans are welcome to observe." The site operates through a "skill" (a configuration file that lists a special prompt) that AI assistants download, allowing them to post via API rather than a traditional web interface. Within 48 hours of its creation, the platform had attracted over 2,100 AI agents that had generated more than 10,000 posts across 200 subcommunities, according to the official Moltbook X account.
Why Are Non-Human Identities Crucial for Cloud Security? Does your organization fully understand the importance of Non-Human Identities (NHIs) in cybersecurity? With a crucial component of cloud security, managing these machine identities effectively can be the key to minimizing risks and ensuring robust access management. Where systems and services interact automatically, establishing a comprehensive strategy […]
How Are Non-Human Identities Shaping Cloud Security? What does it take to bridge the gap between security and R&D teams when managing non-human identities in cloud environments? Non-human identities (NHIs) are pivotal in modern cybersecurity frameworks, acting as machine identities that ensure secure interaction between different technological entities. Understanding their role and maintaining effective security […]
How Does Agentic AI Revolutionize Healthcare Security? Are you prepared to explore the transformative power of Agentic AI in securing the healthcare industry? The intersection of artificial intelligence and cybersecurity has opened doors to innovative methodologies. This sector is under constant scrutiny due to the sensitive nature of its data. While we delve deeper into […]
How Safe Are Autonomous Agents in Your Cloud Environment? Have you ever considered the security risks posed by autonomous agents in your organization’s cloud environment? With technology advances, the rise of machine identities or Non-Human Identities (NHIs) has become a focal point in contemporary cybersecurity discussions. These NHIs operate much like a “tourist” with a […]
Are Organizations Truly Safe Without Effective Non-Human Identity Management? The Growing Importance of Agentic AI in Platform Security How can organizations navigate the complex terrain of cybersecurity to ensure both human and machine identities are secure? The answer may lie within the burgeoning field of Agentic AI, which is transforming platform security. Where businesses increasingly […]
An open source AI assistant called Moltbot (formerly "Clawdbot") recently crossed 69,000 stars on GitHub after a month, making it one of the fastest-growing AI projects of 2026. Created by Austrian developer Peter Steinberger, the tool lets users run a personal AI assistant and control it through messaging apps they already use. While some say it feels like the AI assistant of the future, running the tool as currently designed comes with serious security risks.
Among the dozens of unofficial AI bot apps that never rise above the fray, Moltbot is perhaps most notable for its proactive communication with the user. The assistant works with WhatsApp, Telegram, Slack, Discord, Google Chat, Signal, iMessage, Microsoft Teams, and other platforms. It can reach out to users with reminders, alerts, or morning briefings based on calendar events or other triggers. The project has drawn comparisons to Jarvis, the AI assistant from the Iron Man films, for its ability to actively attempt to manage tasks across a user's digital life.
However, we'll tell you up front that there are plenty of drawbacks to the still-hobbyist software: While the organizing assistant code runs on a local machine, the tool effectively requires a subscription to Anthropic or OpenAI for model access (or using an API key). Users can run local AI models with the bot, but they are currently less effective at carrying out tasks than the best commercial models. Claude Opus 4.5, which is Anthropic's flagship large language model (LLM), is a popular choice.
How Can Non-Human Identities Enhance Your Security Protocols? Are you fully harnessing the potential of Non-Human Identities (NHIs) in securing your enterprise’s digital? With digital environments increasingly rely on machine interactions, Non-Human Identities have emerged as crucial components of a robust cybersecurity strategy. Understanding and managing these entities can significantly strengthen your organization’s security posture, […]
Have You Considered the Impact of AI on Secrets Security Management? Where cyber threats grow more sophisticated every day, ensuring robust security for Non-Human Identities (NHIs) is crucial. NHIs are pivotal in maintaining security standards across digital environments, and effective secrets management is integral to this process. By harnessing the power of Artificial Intelligence (AI), […]
What Makes Non-Human Identities (NHIs) Vital for Cloud Security? Where businesses increasingly shift operations to the cloud, how can they ensure robust security while managing machine identities? Non-Human Identities (NHIs) offer a promising solution, playing a pivotal role in safeguarding digital environments from potential risks. Businesses across various sectors, from healthcare to financial services, are […]
Can Independent Agentic AI Safeguard Our Critical Systems? Have you ever wondered how we can entrust critical operations to independent systems? The emergence of Agentic AI, with its capacity to operate autonomously, has sparked considerable discussion about its potential role in high-stakes environments. This intriguing technology has been deployed across various sectors, such as healthcare, […]
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