Hardware Ready Ready to Bench?
non-human identities. Corporate cybersecurity infrastructure, built for over a decade around the assumption of a human user authenticating a session and maintaining control, shows signs of weakness in the face of the spread of autonomous software agents, coding assistants, and automated workflows operating on cloud, APIs, and code repositories without continuous supervision.
The main problem is no longer verifying who logged in, but understanding what happens afterwards, when software rather than a person makes real-time decisions. The economic scope of the problem concerns the entire perimeter of modern enterprise security.
non-human identities: why it matters
Organizations are adopting artificial intelligence tools at a speed exceeding the capacity of security teams to adequately protect them, creating what experts define as visibility and governance gaps destined to persist if not addressed structurally. Attackers, for their part, no longer seek complex technical vulnerabilities but exploit the simplest path: stolen or compromised credentials become the primary target because they allow appearing legitimate without resorting to sophisticated methods.
Complicating the scenario are so-called shadow AI, short-lived credentials, and machine-initiated actions, factors that expand the attack surface in proportion to the speed of adoption of automated tools. Traditional identity and access management (IAM) systems and privileged access tools prove effective in validating an access at a precise moment, but remain static in the face of entities that do not limit themselves to authenticating.
Artificial intelligence agents make choices, invoke tools, and modify systems well beyond the initial login, a behavior that requires controls capable of evaluating context while the action is taking place, not just at entry. Many organizations still lack a clear inventory of which AI agents exist, what data they can access, who approved them, and what actions they are performing on behalf of others.
This lack of inventory becomes particularly critical in fragmented cloud and SaaS environments, where answering elementary questions about ownership, authorization, and responsibility of agents requires increasing efforts as their distribution multiplies. Added to this is the risk related to credential exposure: long-lived secrets, shared credentials, and broad delegated access, already problematic in human-operator-driven contexts, become even more dangerous when entrusted to autonomous tools operating at machine speed.
What Changes and What Are the Effects
The response outlined by industry analysts does not consist of limiting the operational capabilities of agents, but rather in building an infrastructure capable of supporting both human and artificial identities simultaneously. This evolution rests on three pillars: governance, understood as identifying agents, assigning clear ownership, and defining operational boundaries; runtime trust, which involves contextual evaluation of access and rapid containment of risky behaviors without relying on static credentials; finally operability, made necessary by the shift of work towards APIs, terminals, and orchestration levels that require identity management systems usable beyond the simple administrative console.
The agentic enterprise is no longer theoretical. Artificial intelligence is already influencing operations and decision-making processes within enterprises, a fact that shifts the center of gravity of the discussion from theory to the daily operational practice of security teams. The question to ask is no longer just who logged in, but what is acting in the environment, with what authorization, and whether teams have the tools to intervene when the risk profile changes.
According to reports, governance will be one of the most important factors in determining whether a company will succeed or fail long-term with its artificial intelligence programs. It remains to be seen how many organizations are truly willing to invest in governance before an incident makes it mandatory, and whether the security vendor market will manage to offer runtime control tools at the same speed at which enterprises are deploying autonomous agents in their critical systems.
Source and further reading on non-human identities: original article.
* Content created with the assistance of artificial intelligence systems.