Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

It's a familiar story: a new employee shows up on day one, laptop in hand, ready to work, only to spend the next three days waiting for access to email, shared drives, and the applications their job depends on. IT teams juggle tickets, managers chase approvals, and productivity stalls before it starts. Manual provisioning doesn't just slow onboarding. It also creates security gaps. Teams often grant access on an ad hoc basis, assign more permissions than users need, and fail to remove unnecessary access.

Identity has become the new security perimeter. With over 80% of breaches involving compromised credentials, how organizations manage and govern identities is now the defining factor in both security posture and regulatory compliance. The stakes have risen sharply. Cloud adoption, remote workforces, AI-driven automation, and expanding third-party ecosystems have multiplied the volume of identities organizations must manage, and the consequences of mismanaged access have never been more severe.

The Digital Personal Data Protection (DPDP) Act, 2023, has shifted data privacy from a regulatory obligation into a critical business risk. With the DPDP Rules, 2025 providing operational clarity, businesses are expected to implement reasonable security safeguards, manage consent, protect children's data, and respond promptly to personal data breaches.

Privileged Access Management (PAM) has become a cornerstone of enterprise security, but the environments it protects have changed dramatically. Organizations now manage cloud infrastructure, SaaS applications, remote workforces, third-party vendors, machine identities, and AI-driven workloads that constantly request privileged access. Security teams need to verify every identity, understand the context of each request, and grant only the minimum level of access required.

Your enterprise probably has a few thousand employees with managed identities. HR provisioned them, IT governs them, and your IAM platform watches them. Now count the AI agents running across your org. The Claude Code and codex instance that sit inside every dev's IDE. The Salesforce Einstein bot with access to every open deal. The Zapier AI that reads your CRM, writes to your Slack, and forwards summaries to email. You can't count, secure, or govern them with traditional IAM, can you?

Wouldn't it be great if managing user accounts didn't take hours of manual effort? For many IT teams, unfortunately, that's exactly the reality. Every new employee needs access for all the apps they intend to use. When someone switches roles, permissions need updating. And when someone leaves, all their access needs to be revoked immediately. These tasks might sound simple, but they become exponentially more challenging as your company grows.

Most organizations deploy access management tools and believe they have identity security covered. They do not. What they have is a way to let users in, but no systematic way to ask whether those users should still have that access at all. Access governance and access management are related but distinct disciplines.

The Digital Personal Data Protection (DPDP) Act, 2023, has established a new privacy framework for organizations handling digital personal data, while the DPDP Rules, 2025, provide greater clarity on how businesses should implement these obligations in practice. For many organizations, however, translating legal requirements into day-to-day operational processes remains a significant challenge.

Your DevOps team doesn't log into one app from one office. They're in cloud consoles, Git repos, CI/CD pipelines, and production, often at 2 am, often from home. IAM for DevOps has to work for that reality, not the one from 2016. Traditional identity and access management was built for employees signing into a handful of business apps from a managed laptop. But the DevOps team blew past that model years ago.