Notifications
Clear all
Topic starter
02/09/2026 3:57 pm
TL;DR: Dark Reading’s 2026 poll found 48% of cybersecurity professionals expect agentic AI and autonomous systems to become the primary cyber targets next year, underscoring how quickly AI-driven attack surface expansion is outpacing current security thinking, according to SecureAuth. The core issue is not model safety alone, but continuous authorization, least privilege, and scoped access for every resource an agent can touch.
NHIMG editorial — based on content published by SecureAuth: AI Agents: The New Attack Surface
By the numbers:
- 48% of cybersecurity professionals believe agentic AI and autonomous systems will become the primary cyber targets in 2026.
Questions worth separating out
Q: How should security teams govern AI agents that can access enterprise systems?
A: Security teams should govern AI agents as non-human identities with explicit ownership, scoped privileges, and continuous monitoring.
Q: Why do AI systems increase the risk of data breaches and compliance failures in enterprises?
A: AI systems concentrate sensitive data, automate decisions, and often connect to third party ecosystems, which expands the attack surface.
Q: What are the signs that AI agent access is becoming unsafe in enterprise environments?
A: Common warning signs include broad standing permissions, unclear ownership of agent credentials, excessive access to multiple data domains, and weak logging around agent actions.
Practitioner guidance
- Inventory every AI agent and connector path Map AI agents, service accounts, tokens, MCP servers, and API connectors into one inventory so unmanaged access is visible before scale creates blind spots.
- Move from static entitlements to runtime authorization Apply policy checks to each sensitive agent action using context such as task scope, data sensitivity, and risk signals instead of trusting the original login event.
- Scope agent permissions to a single task boundary Give agents only the access needed for the current workflow and revoke anything broader, especially where one agent can reach multiple downstream systems.
What's in the full article
SecureAuth's full analysis covers the operational detail this post intentionally leaves for the source:
- How SecureAuth frames continuous authorization across agent sessions and connected tools
- Practical guidance on microperimeters for AI agent workflows and access boundaries
- The article's discussion of MCP governance, API connector risk, and shadow AI exposure
- The vendor's interpretation of how identity control shifts when autonomous systems scale
👉 Read SecureAuth's analysis of agentic AI attack surface and continuous authorization →
Agentic AI attacks in 2026: are your identity controls keeping up?
Explore further
02/09/2026 3:58 pm
Continuous authorization is now an identity control requirement for agentic AI. The article makes the right distinction between model safety and resource access, because compromised agents do not need to break the model if they can already reach sensitive systems. IAM and NHI controls built around static session assumptions fail once the identity can choose tools and act at runtime. The implication is that agent governance has to move from initial authentication to persistent authorisation.
A few things that frame the scale:
- 92% agree governing AI agents is critical to enterprise security, yet only 44% have implemented any policies to do so, according to AI Agents: The New Attack Surface report.
- Only 52% of companies can track and audit the data their AI agents access, leaving 48% with a complete blind spot for compliance and breach investigation.
A question worth separating out:
A: Yes. If AI agents can call tools or query data sources, organisations should control prompts and tool access before granting broader autonomy. The safest approach is to inspect sensitive content at ingress, apply least privilege, and block or redact data when it is not needed for the task. That reduces accidental leakage and limits how far an agent can move data.
👉 Read our full editorial: Agentic AI attacks expose the real identity control gap in 2026
