Preparing for 2026: Adapting Identity and Network Security to the Age of AI Agents

Artificial intelligence is reshaping both the defensive and offensive sides of cybersecurity. As I look at the challenges facing organisations in 2026, it is clear that identity and network access are at the centre of this transformation. The recent article from Microsoft outlines four strategic priorities for security leaders, each reflecting the reality that AI—particularly autonomous agents—will fundamentally alter how we defend digital estates. In this post, I will dissect these priorities, highlight the technical innovations announced, and offer my perspective on what they mean for business resilience.

Shifting from Reactive to Proactive: AI Agents as Security Partners

Traditional security operations have struggled to keep pace with attack velocity. While most enterprises have spent years deploying Zero Trust frameworks and best practices, I am seeing attackers weaponise generative AI to automate password attacks, craft convincing phishing lures, join calls as impostors, request IT support, and even rewrite malicious agents on the fly. Human-only workflows are too slow and error-prone when faced with such adversaries.

The article recommends a major shift: integrating AI agents into core workflows. Microsoft Entra now includes built-in AI agents capable of reasoning over users, apps, sign-ins, risks, and configurations. These agents do more than surface alerts—they help design access policies proactively, identify policy gaps, recommend improvements, summarise risky behaviour, investigate anomalies, and continuously tune controls without adding user friction.

A concrete example is the Conditional Access Optimization Agent within Microsoft Entra. According to the article’s cited study, “identity admins using the Conditional Access Optimization Agent in Microsoft Entra completed Conditional Access tasks 43% faster and 48% more accurately across tested scenarios.” This illustrates not only productivity gains but also a direct reduction in exposure windows exploitable by attackers.

Strategic Analysis

In my experience leading cloud transformations, embedding agentic AI into security teams changes the operating model entirely. These systems enable continuous posture assessment while freeing human talent for higher-order work. However, technology leaders must be prepared for organisational change management—collaborating with AI agents will require new skills and mindsets across both IT and business units.

Treating AI Agents as First-Class Identities

As organisations embrace agentic automation, a new risk emerges: “agent sprawl.” Just as unsanctioned SaaS once created shadow IT headaches and data leakage risks, unmanaged proliferation of AI agents threatens control over sensitive data.

The article introduces an essential concept—treat every AI agent as a first-class identity with clear ownership and lifecycle governance. With Microsoft Entra Agent ID, each agent receives its own unique identity profile. Administrators can register agents via familiar interfaces, assign human sponsors for lifecycle management, monitor interactions with external services, enforce guardrails around internet access, and prevent data exfiltration by integrating network filtering with Microsoft Purview classification policies.

Conditional Access policies can be extended to block risky agents or ensure least privilege through just-in-time access grants. Additionally, Microsoft Entra Internet Access acts as a secure web and AI gateway—helping discover unsanctioned private apps or generative AI usage while defending against threats like prompt injection attacks.

Implications for Leadership

I believe technology leaders must invest in unified inventories of both human and machine identities. Orphaned or unmonitored agents present real risks if left unchecked; accountability models must evolve so every agent has an explicit owner responsible for its permissions footprint throughout its lifecycle.

Unifying Identity and Network Layers: The Rise of the Access Fabric

One persistent challenge has been fragmentation across identity providers and network security solutions. The article notes that large enterprises often juggle five different identity solutions alongside four separate network access tools—all enforcing disconnected policies.

To address this gap exploited by sophisticated attackers automating intrusions at scale, Microsoft is advocating for an integrated “Access Fabric” approach powered by Microsoft Entra Conditional Access. This unified policy engine reasons over signals from users, devices, networks, endpoints (such as Microsoft Defender for Endpoint), and other security sources.

Key features include:

  • Continuous monitoring of both user risk and network risk levels
  • Real-time adaptation of controls if risk conditions change during sessions
  • Centralised policy definition enforced consistently across all environments (cloud, on-premises, edge)
  • Protection extended equally to humans, devices, and autonomous agents

This model closes seams between siloed systems that attackers are currently exploiting.

My Perspective

A unified access fabric does not simply reduce operational overhead—it directly improves security outcomes by eliminating visibility gaps between layers. In my view, pursuing this architectural convergence should be top-of-mind for CISOs planning multi-year roadmaps.

Laying a Secure Foundation: Phishing-Resistant Credentials by Default

Finally, no amount of intelligent automation can substitute for a strong foundation anchored in robust authentication mechanisms. Modern cyberthreats demand organisations abandon passwords in favour of phishing-resistant credentials such as passkeys or device-bound tokens (e.g., physical security keys or Microsoft Authenticator).

The article highlights several baseline controls:

  • Enabling phishing-resistant credentials for all admin accounts via Microsoft Entra ID
  • Requiring passkey setup before onboarding new employees
  • Using live-person checks combined with government-issued ID verification through Microsoft Entra Verified ID
  • Combining device compliance checks with threat detection

These measures make it much harder for either human or AI-driven impostors to gain foothold access—even if other defences fail.

Recommendations for Action

Based on these insights:

  • Accelerate adoption of agentic AI within your identity team’s workflows but ensure training accompanies deployment.
  • Inventory all machine identities—including agents—and enforce sponsorship along with automated lifecycle actions.
  • Rationalise fragmented policy engines into a single integrated “access fabric” architecture.
  • Mandate phishing-resistant credentials organisation-wide; use strong proofing steps at onboarding/recovery.
  • Monitor evolving threats closely—attackers’ use of generative tools will only grow more sophisticated.

Looking Ahead

What stands out most from Microsoft’s roadmap is a comprehensive approach linking agentic automation with rigorous governance underpinned by adaptive Zero Trust principles. Technology leaders who move quickly will not only reduce their breach risk but also empower teams to move faster with confidence in an era defined by autonomous digital actors.

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Source: https://www.microsoft.com/en-us/security/blog/2026/01/20/four-priorities-for-ai-powered-identity-and-network-access-security-in-2026/

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