%term

Seedance 2.5: AI Video Is Learning to Handle What Happens Between the Shots

Sep 10, 2026 By SecuritySenses In SecuritySenses

Turning a photograph into moving footage has become familiar. The details that make people keep watching usually come from the relationships inside the frame: why a character turns at that moment, why the product appears there, why the music lands on that beat, and how the camera carries the viewer toward what comes next.

Read Post

SecuritySenses

Read more about Seedance 2.5: AI Video Is Learning to Handle What Happens Between the Shots

Securing AI API Keys From Development to Production

Sep 10, 2026 By Zoey, Growth at OfoxAI In SecuritySenses

An AI feature can reach production before anyone has decided who owns its credentials. A developer creates an API key for a prototype, a colleague copies it into a background worker, and a troubleshooting session puts the same value into a support ticket. The application works, but the team can no longer say exactly where its access begins or ends.

Read Post

SecuritySenses

Read more about Securing AI API Keys From Development to Production

SpyCloud 2026 Identity Threat Report Finds Non-Human Identities Are Now the Leading Path into the Enterprise

Sep 9, 2026 By SpyCloud

Ninety-five percent of organizations believe they have visibility into their AI and machine identity exposures, yet only 36% are actually monitoring them.

Read Post

Read more about SpyCloud 2026 Identity Threat Report Finds Non-Human Identities Are Now the Leading Path into the Enterprise

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.

Read Post

SignMyCode

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

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. ‍

Read Post

Kovrr

Read more about A Complete Audit Trail That Names No One

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.

Read Post

Netwrix

Read more about AI agents can inherit local admin rights

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.

View Video

Teleport

Read more about An agent breaks in production. Who's accountable?

Demo: Sophos AI Defense in Action

Sep 9, 2026 By Sophos In Sophos

Sophos AI Defense is available as an add-on and is fully integrated with Sophos EDR, Sophos XDR, and Sophos MDR. The result is practical AI security: better visibility, faster investigation, and stronger protection against the real ways AI agents are being used in the enterprise. To learn more, visit Sophos.com/AI Defense.

View Video

Sophos

Read more about Demo: Sophos AI Defense in Action

How Is AI Transforming Identity and Access Management?

Sep 9, 2026 By Pratish Ray In miniOrange

Traditional Identity and Access Management (IAM) relies on authentication methods, predefined roles, and access policies to control who can access business applications and data. These controls remain essential, but they do not always provide enough context to identify unusual behavior or changing access risks. AI in Identity and Access Management (IAM) adds another layer of intelligence by analyzing login context, user behavior, device information, access patterns, and identity activity.

Read Post

miniOrange

Read more about How Is AI Transforming Identity and Access Management?

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.

Read Post