It’s not just about economics anymore. Pricing is starting to shape how people behave. It looks like a response to a crisis, but it nudges people to use less or act differently. Over time, it sets expectations about what’s “normal” to consume. Less about policy and more about using price to guide behavior.

https://www.visiontimes.com/2026/03/17/chinas-early-2026-trade-boom-reveals-structural-paradox-in-the-economy-analysts.html #MachineIdentity

Meta's HyperAgents paper: AI agents that rewrite their own approach based on what worked, develop persistent memory of target environments, and transfer meta strategies to new attack surfaces.

PAM session management assumes a human. Credential rotation assumes human timelines. Machine identity governance hasn't accounted for identities that autonomously evolve their behaviour.

https://arxiv.org/abs/2603.19461

#AI #CyberSecurity #PAM #MachineIdentity

Hyperagents

Self-improving AI systems aim to reduce reliance on human engineering by learning to improve their own learning and problem-solving processes. Existing approaches to self-improvement rely on fixed, handcrafted meta-level mechanisms, fundamentally limiting how fast such systems can improve. The Darwin Gödel Machine (DGM) demonstrates open-ended self-improvement in coding by repeatedly generating and evaluating self-modified variants. Because both evaluation and self-modification are coding tasks, gains in coding ability can translate into gains in self-improvement ability. However, this alignment does not generally hold beyond coding domains. We introduce \textbf{hyperagents}, self-referential agents that integrate a task agent (which solves the target task) and a meta agent (which modifies itself and the task agent) into a single editable program. Crucially, the meta-level modification procedure is itself editable, enabling metacognitive self-modification, improving not only the task-solving behavior, but also the mechanism that generates future improvements. We instantiate this framework by extending DGM to create DGM-Hyperagents (DGM-H), eliminating the assumption of domain-specific alignment between task performance and self-modification skill to potentially support self-accelerating progress on any computable task. Across diverse domains, the DGM-H improves performance over time and outperforms baselines without self-improvement or open-ended exploration, as well as prior self-improving systems. Furthermore, the DGM-H improves the process by which it generates new agents (e.g., persistent memory, performance tracking), and these meta-level improvements transfer across domains and accumulate across runs. DGM-Hyperagents offer a glimpse of open-ended AI systems that do not merely search for better solutions, but continually improve their search for how to improve.

arXiv.org

Interview with Dino DiMarino, CEO at AppViewX, on why machine identities are outpacing user identities in critical infrastructure.

🔐 “You can’t plan for post-quantum cryptography without an accurate cryptographic bill of materials.”

Full interview: https://www.technadu.com/explaining-why-certificate-failures-are-still-taking-down-critical-systems/614681/

#CyberSecurity #MachineIdentity #PKI #ZeroTrust #CryptoAgility

NHIs (Non-Human Identities) are the silent gatekeepers of dynamic networks—yet many remain unmanaged. Secrets, permissions, and visibility must be secured end-to-end. 🧠🔐 #NHIManagement #MachineIdentity

https://securityboulevard.com/2025/09/how-protected-are-your-nhis-in-dynamic-networks

Is having a new machine-id after every boot a bad idea if using #impermanence in #nixos ? Why? Or is it precisely a good thing? Thanks for any advice. #machineidentity
Dealing with the challenge of securing machine identities [Q&A]

Machine identities have proliferated in recent years, but while they offer convenience they also introduce new vulnerabilities.

BetaNews
The rise of the machine identity and what it means for cybersecurity [Q&A]

This leads to a wider attack surface leaving many organizations vulnerable to cyberattack and loss of data. We spoke to Refael Angel, the co-founder and CTO

BetaNews
Machine identities outnumber humans 40,000 to one

Are you ready to welcome our new machine overlords? Okay, that might be a bit drastic, but the latest report from Sysdig reveals that there are now 40,000x more machine identities than human identities.

BetaNews
Access tokens and service accounts next target for cyberattacks

New research shows 88 percent of security leaders believe machine identities, specifically access tokens and their connected service accounts, are the next big target for attackers.

BetaNews

Is the most important security domain -- identity -- getting lost in all the AI noise?

You can't implement your zero trust strategy without identity. And, with machines outnumbering humans in most enterprises, ranging from 7 to 45 more machines than humans, securing machine identities is paramount to secure your organization.

Securing machine identities is the focus of @TokenSecurity which just raised $7M seed funding.

#security #cybersecurity #identity #identitysecurity #machineidentity #funding #zerotrust

https://siliconangle.com/2024/05/08/token-security-raises-7m-change-focus-identity-management-machines/

Token Security raises $7M to change the focus of identity management to machines - SiliconANGLE

Token Security raises $7M to change the focus of identity management to machines - SiliconANGLE

SiliconANGLE