All things IAM
Public Key Infrastructure (PKI) is foundational to cryptographic security — it’s how systems establish trust, authenticate identities, and secure communications. For human users, PKI is primarily invisible: a certificate bundled…
Biometric security research has consistently documented a gap between how human users operate and how AI agents function within enterprise systems. That gap is widening, and it reveals a critical…
Identity and access management (IAM) systems were architected around a fundamental assumption: that principals requesting access are human users operating during business hours, following documented workflows, and maintaining relatively stable…
Private Public Key Infrastructure (PKI) has emerged as a critical layer in securing non-human identities, particularly as organisations scale their deployment of machine identity principals across cloud, on-premises, and hybrid…
The convergence of AI deployment and identity governance has created an acute problem that traditional IAM solutions were never designed to solve. AI agents operate at machine speed — making…
The traditional identity and access management stack was designed for a world of human users with relatively predictable behaviour patterns. IAM systems assume users authenticate once per session, operate within…
Financial services organizations operate under particularly stringent regulatory requirements: SOX compliance, data residency mandates, audit logging obligations, and risk management frameworks that mandate control over every system touching customer data.…
Enterprise security programs face an uncomfortable truth: the majority of identities in production are not human. Service accounts, API credentials, SSH keys, application certificates, and now AI agents—these non-human identities…
As AI agents become embedded in critical business workflows, organizations face a fundamental identity crisis. Traditional approaches to service accounts and machine identity were designed for static, long-lived workloads with…
SailPoint has extended its identity governance platform to address the emerging challenge of AI agent security. As organizations deploy autonomous agents into production environments, the ability to govern non-human identity…
As enterprises accelerate their adoption of AI agents, a critical gap has emerged in identity and access management architecture. Traditional IAM frameworks were built to govern human users with predictable…
As AI agents become embedded in enterprise workflows, a fundamental crisis is unfolding: enterprises have no standardized approach to managing, auditing, or revoking agent identities. When a language model-based agent…