Sep 17, 2024

Beyond human IAM: The rising tide of machine identities Remember when managing user accounts was your biggest headache? Those were simpler times. Today, we’re drowning in a sea of machine identities, and it’s time to learn how to swim – or risk going under. In the ever-expanding universe of hybrid and multicloud environments, machine identities have proliferated faster than cat videos on the Internet. According to CyberArk, these non-human entities—think workloads, services, and anything else that goes ‘beep’ in the night—now outnumber human identities by a 45-to-1 ratio. Each one of these digital doppelgangers comes with its own set of credentials, secrets, and keys. But here’s the kicker: while we’ve spent years perfecting the art of human identity management, machine identities represent the complex, obscure, and submerged portion of the identity iceberg. Finding needles in a digital haystack You can’t manage what you don’t know exists. And in the world of machine identities, there’s a lot you don’t know. Discovery of machine identities is critical, but it’s also about as straightforward as solving a Rubik’s Cube blindfolded. You’ll need multiple discovery tools to cover different aspects: SSH discovery: Because those SSH keys you thought were long gone are probably still lurking in forgotten corners of your network. Secrets discovery: To find all those hardcoded credentials that developers swore they’d never use again. Certificate discovery: For hunting down those rogue certificates that are about to expire and take down half your services. This requires an ongoing effort and is a best-effort activity. While you won’t uncover everything, you’ll rest easier knowing you’ve at least examined the digital nooks and crannies. To address the need for managing machine identities, a common first step is creating a dedicated “machine identity” task force. This team is responsible for establishing ownership, governing multiple tools, setting expectations, providing best practices, and helping enforce guidelines across the organization. The key to success lies in the diversity of this group. You’ll want representatives from security, DevOps, cloud teams, and any other stakeholders in the machine identity domain. Best-of-breed vs. all-in-one When it comes to tooling decisions, you’re faced with a classic dilemma: do you go for a best-of-breed approach, cherry-picking the best tools for each specific need, or do you opt for an all-in-one solution that promises to do everything (but might not do anything particularly well)? The answer, as with most things in life, is: it depends. You’ll need to weigh factors like organizational gaps, latency requirements, reach, and control needs. It’s like choosing between a Swiss Army knife and a toolbox – one is convenient but limited, the other is comprehensive but potentially overwhelming. Pro tip: Start with your cloud-native tooling to learn the ropes, then assess what additional capabilities you need. Don’t expect feature parity across all environments – that’s like expecting your cat to fetch a stick. The elusive “single pane of glass” The complexity of machine identity management is compounded by the lack of a “single pane of glass” solution. Organizations are forced to adopt multiple tools and establish cross-functional teams to address this growing concern. One key aspect of this management is the discovery and protection of secrets—an area where GitGuardian has established itself as a leader . GitGuardian’s research has shown an alarming increase in publicly exposed secrets, with 12.8 million occurrences detected on GitHub.com in 2023 alone. These leaks can have devastating consequences, potentially leading to data breaches that cost organizations millions.