𝗡𝗼𝗻-𝗛𝘂𝗺𝗮𝗻 𝗜𝗱𝗲𝗻𝘁𝗶𝘁𝗶𝗲𝘀: 𝗧𝗵𝗲 𝗦𝗶𝗹𝗲𝗻𝘁 𝗔𝘁𝘁𝗮𝗰𝗸 𝗦𝘂𝗿𝗳𝗮𝗰𝗲
You know your employee count. You likely do not know your non-human identity count.
Most companies focus on protecting people. You use SSO and MFA to secure human users. This works. Human accounts are now harder to hack.
While you protect humans, machine identities grow. Service principals, workload identities, and AI roles now outnumber humans by 10 to 50 times.
These identities do not show up in HR systems. They do not appear on org charts. Yet they often hold the highest level of access in your cloud.
High-risk areas include: • OAuth apps with broad access to Slack or Salesforce. • Service principals and managed identities. • CI/CD pipeline identities. • AI service roles.
Attackers look for the easy path. Since human accounts are secure, they target machines. Machines suffer from three main problems: • Privilege Creep: Permissions stay active long after they are needed. • Lack of Visibility: You have no list of active service roles or OAuth grants. • Long-Lived Credentials: Static keys create permanent backdoors.
You must treat machine identities as a priority.
Follow these steps to secure them: • Use Workload Identity Federation. Replace static keys with short-lived tokens via OIDC. • Monitor constantly. Use tools like AWS IAM Access Analyzer to find unusual behavior. • Automate least privilege. Remove unused permissions automatically. • Govern AI identities. Inventory every AI service role from the start.
Security has moved from networks to endpoints to humans. The next stage is non-human identities.
In the age of AI agents, attackers do not need to hack an employee. They only need one token.
Identity is your new perimeter. Often, that identity is not human.
Source: https://dev.to/alifunk/non-human-identities-the-silent-attack-surface-no-one-is-monitoring-45ie
Optional learning community: https://t.me/GyaanSetuAi