Enterprise technology has become significantly more interconnected over the past decade. Cloud platforms, automation, artificial intelligence, and software integrations have allowed organizations to operate with greater speed and flexibility, but they have also made understanding digital access far more complicated. Every new application, automated workflow, and API introduces more identities with larger scope that require […]<br /> This story continues at The Next Web [...]
A CEO’s AI agent rewrote the company’s security policy. Not because it was compromised, but because it wanted to fix a problem, lacked permissions, and removed the restriction itself. Every identi [...]
Active Directory, LDAP, and early PAM were built for humans. AI agents and machines were the exception. Today, they outnumber people 82 to 1, and that human-first identity model is breaking down at ma [...]
Enterprise AI has largely been built around context engineering. Teams connect enterprise systems, generate chunks and embeddings, build retrieval pipelines, and assemble the context needed by individ [...]
Across 107 enterprises, AI agents are being given real access to systems and data while the controls meant to contain them lag behind. More than half have already had a confirmed agent security incide [...]
Snowflake announced Cortex AI Gateway on Tuesday, a centralized control layer designed to govern how AI agents — including those built by competitors like Anthropic's Claude Code and Cursor — [...]
Across 116 enterprises, agents are in production and so are the incidents: A majority have already had a confirmed agent security event or a near-miss. Two-thirds of enterprises enforce scoped permiss [...]
Less than a year after emerging from stealth to tackle non-human identity security, Israeli cybersecurity startup Hush Security believes the enterprise AI security conversation has fundamentally chang [...]