AI is no longer just assisting human users. Increasingly, it is acting on their behalf.
From automating workflows to interacting with SaaS platforms, infrastructure and data stores, AI agents are becoming an active part of modern digital estates. They can send emails, query systems, trigger actions and, in some cases, make changes autonomously. That shift changes the cyber security challenge.
The question organisations are now facing is not whether AI agents are being used, but whether they are being governed.
From User Security to Agent Governance
Traditional cyber security models assume a human sits behind every action. Identity systems, access controls and monitoring tools were built around that assumption, and AI agents challenge it.
Agents operate continuously, interact with APIs at machine speed and respond to prompts, context and external inputs. In many environments, they rely on permissions and service access models that were never designed for safe delegation or oversight.
Recent announcements at RSAC 2026 highlighted a clear shift in approach. The industry is no longer treating AI agents as background processes. Security leaders increasingly recognise them as identities that require governance.
This reflects what is happening in real environments. As organisations move from experimentation into operational use, controls need to match the autonomy being introduced.
Identity is Now the Primary Control Point
One of the most important developments is the extension of identity and access governance to AI agents.
If an agent can access a system, it should have a registered identity. If it has an identity, it should have a clearly defined human owner. If it is granted permissions, those permissions should be granular, time-bound and auditable.
This brings agent activity into the same zero trust framework organisations already apply to people. Instead of shared credentials or static service accounts, AI agents become governed entities with enforceable policy.
The impact is practical and immediate. When agents have identities, security teams can understand what they are allowed to do, what they are attempting to do and when behaviour deviates from intent.
Why Intent-Aware Security Matters
Agent traffic often appears legitimate at a network level. AI agents call approved APIs and interact with trusted services as part of their design.
The real risk sits in the ‘why’, not just the ‘where’. Security teams need to understand why an action occurred, not only the destination or protocol.
- Was the agent authorised to perform that action?
- Is the behaviour consistent with its defined role?
- Is it operating within an expected time window?
Intent-aware inspection enables meaningful enforcement without blocking innovation. Instead of relying on blanket restrictions, organisations can apply controls that reflect purpose and context.
Key Questions Organisations Should Be Asking
AI adoption is accelerating, but many organisations are unsure how much autonomous activity already exists in their environment.
These questions highlight the areas security and technology leaders should review as AI agents become embedded in day-to-day operations.
How many AI agents are active in your environment? Most organisations do not have a complete view of agent activity until something goes wrong.
Visibility is the foundation of safe AI adoption.
Do your AI agents have identities and owners? Without a registered identity and accountable owner, agents cannot be governed, audited or controlled effectively.
Are agent permissions limited and time-bound? Agents often operate with excessive or permanent access that goes far beyond their intended role.
Can your SOC detect and prioritise risky agent behaviour? Autonomous systems create new attack paths that require fast, contextual detection and response.
Is shadow AI use being monitored and governed? Employees regularly use consumer AI tools in browsers, creating data leakage risks without realising it.
The Evolving SOC Challenge
Security operations teams are already under pressure. Autonomous systems add speed and scale to security operations.
Agent-driven activity can generate large volumes of signals, many of which require context to assess accurately. Without automation and prioritisation, teams risk either missing genuine threats or burning out analysts.
To keep pace, security operations must shift from volume-based alert handling to outcome-focused response. Automation supports analysts by enriching signals and surfacing what matters most.
Where Cisilion Fits
At Cisilion, we see organisations moving quickly to adopt AI while governance lags behind. In most cases, this is not because capability is missing, but because existing platforms have not yet been extended to support agentic use cases.
Our role is to help clients:
- Gain visibility of AI agents and shadow AI activity
- Extend identity, access and policy controls to non-human actors
- Align SOC processes and tooling to agent-driven risk
Because our cyber security capability spans Cisco and Microsoft environments, we focus on helping clients apply consistent governance across identity, network, endpoint and security operations layers, using platforms they already trust.
Looking Ahead
RSAC 2026 reinforced a clear message: Cyber security is no longer just about defending systems from external threats. It is about governing autonomous activity within the organisation.
For organisations at an early or experimental stage, this does not require wholesale change. A focused review of what AI agents are running today, how they are identified and how their activity is monitored can quickly highlight where governance is strong and where it needs to evolve.
If you want to take a practical first step, Cisilion can help you assess your current position and understand what good looks like for governing AI agents within your existing security architecture.