Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

An agent breaks in production. Who's accountable?

Sep 9, 2026 By Teleport In Teleport
We asked eight security and product leaders who's accountable when an agent ships to production and breaks something. Nobody said the model. Harish Gaggar named the reason. An agent runs on permissions someone approved and configuration someone set. Ron Reiter drew the line in the same place, accountability sits with whoever decided what the agent could actually do. As agents act across more systems, the accountability trail gets harder to follow. Most teams cannot determine which human granted an agent access.
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netwrix

AI agents can inherit local admin rights

Sep 9, 2026 By Dirk Schrader In Netwrix
An AI agent runs as a process under whatever account launched it, and it inherits that account's access token. If the account has local admin rights, so does the agent, along with every helper process and script it spawns, an example would be Claude Desktop running under an admin account, spawning PowerShell helpers. What makes agents different from a typical privileged app is that their next action often comes from content parsed at runtime, including untrusted input.
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kovrr

A Complete Audit Trail That Names No One

Sep 9, 2026 By Kovrr In Kovrr
An AI assistant reads four hundred documents across a tenant. Every read is logged. The application is named, the file is named, the timestamp is exact, and the access is attributed to an account that belongs to nobody. ‍ The audit trail is complete and it cannot answer the question an auditor asks. Nobody asks whether an access was recorded. They ask who reached the data and whether that person was authorized, and a shared service account answers neither. ‍
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signmycode

OWASP Top 10 for Large Language Model Applications: Complete Guide to LLM Security Risks

Sep 9, 2026 By SignMyCode In SignMyCode
Companies rush to utilise the potential of large language models; however, every new use case of generative AI introduces attack vectors previously unknown in traditional web security. The present guide provides an overview of the official OWASP GenAI LLM Top 10 2026 list and explains the appearance of each vulnerability in practice along with mitigation recommendations.
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Best Business Management Software in 2026: 10 Options Compared by Category

Best Business Management Software in 2026: 10 Options Compared by Category

Sep 9, 2026 By SecuritySenses In SecuritySenses
Every growing company eventually hits the same wall: the tools that worked at 10 people stop working at 50. Spreadsheets turn into a guessing game about which version is current. Goals live in a slide deck nobody opens after the kickoff. Nobody can say for sure who owns a given process anymore. The fix isn't one universal tool - it's picking the right category for the problem you actually have. Here's how the ten most-recommended options break down.
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Why DevSecOps Teams Are Adopting an AI Pentesting Solution

Why DevSecOps Teams Are Adopting an AI Pentesting Solution

Sep 9, 2026 By SecuritySenses In SecuritySenses
Software teams today are shipping code faster than ever before. New features go live weekly, sometimes daily, and the pressure to stay ahead of competitors means security can no longer be treated as a final checkpoint before release. This shift has pushed DevSecOps teams to rethink how they test for vulnerabilities.
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reach security

Adopting & Implementing Zero Trust: Moving from Concept to Execution

Sep 8, 2026 By CP Morey In Reach Security
Zero Trust is often summarized as “never trust, always verify.” More precisely, it is a security model built on the premise that trust should never be granted implicitly based on where a user, device, workload, or resource sits. That makes Zero Trust much bigger than deploying a particular product or turning on a handful of access policies.
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apono

Vulnerability Assessments in an Agentic World: Step-by-Step Guide

Sep 8, 2026 By The Apono Team In Apono
An old package or a misconfigured cloud storage bucket can be identified by a legacy scanner, but it does not account for the unique risk profile of autonomous systems. It cannot confirm that an AI agent with access to your production environment can chain together a CRM read, an email send and a production write using inherited credentials. Your agents are dynamic: they plan, call tools, and act across multiple environments, and some may retain context or long-term memory beyond the original request.
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