Agentic AI Becomes Top Cyber Threat in 2026
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Agentic AI & Autonomous Systems Become Primary Cyber Targets
The latest Dark Reading readership poll reveals that nearly half of respondents believe agentic AI will represent the top attack vector for cybercriminals and nation-state threats by the end of 2026, with 48% of the vote. This is due to the growing adoption of agentic AI in enterprises, which is expected to increase the attack surface and vulnerability to attacks.
Why This Matters
The rise of agentic AI poses significant security risks, as it can scale productivity by five to ten times, but also exponentially increases attack surfaces, including access points with non-human identities. The lack of confidence in password security and the potential for insecure code deployment further exacerbate these concerns, with the potential for massive financial losses and reputational damage.
Key Insights
- 48% of respondents believe agentic AI will be the top attack vector for cybercriminals by the end of 2026, according to the Dark Reading readership poll.
- Agentic AI can scale productivity by five to ten times, but also exponentially increases attack surfaces, including access points with non-human identities, as noted by Melinda Marks, practice director for cybersecurity at Omdia.
- The enterprise AI control plane needs to shift from trying to secure the models themselves to enforcing continuous authorization on every resource those agents touch, as emphasized by Geoffrey Mattson, CEO at SecureAuth.
Practical Applications
- Use Case: Companies like SAP, Oracle, Salesforce, and ServiceNow are leveraging agentic capability to stitch together business solutions, but this also increases the risk of emerging threats from these vectors.
- Pitfall: The lack of investment in defenses against deepfakes and the potential for insecure code deployment can lead to significant security breaches and financial losses.
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