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Planning on using AI Agents? Be aware of these security threats – Node

The rapid emergence of agentic AI is transforming how businesses operate. Acting autonomously behind the scenes, these software agents can trigger workflows, generate outputs and interact with multiple systems without human input. Their potential is undeniable, from forecasting sales to detecting phishing attempts, but their power comes with risk.

For IT leaders, the key challenge is integrating these intelligent agents into their organisation’s broader cybersecurity strategy without compromising trust, compliance or control. Many teams are already familiar with the benefits of large language models and generative AI, and most leadership teams now recognise the associated risks. Yet, without a clear deployment framework, agentic AI can become a security liability, particularly in how it interacts with identity systems.

Agentic AI may mimic human behaviour, but it doesn’t operate like human users. This mismatch creates significant strain on traditional Identity and Access Management (IAM) tools, which were never designed to manage non-human identities operating at scale and struggle to differentiate between trustworthy AI agents and harmful software.

Cybercriminals are increasingly developing AI agents of their own, designed for phishing, deepfakes and scanning for system weaknesses. These malicious agents exploit weak IAM systems by masquerading as legitimate users or generating fake login credentials.

Treating AI agents as an afterthought or applying them as one-off tools leaves businesses vulnerable. Without proper oversight, they can bypass critical controls and create blind spots in security monitoring. To harness their capabilities safely, agentic AI must be embedded into architecture from the start, not bolted on later. hashtag#AI hashtag#cybersecurity hashtag#AgenticAI hashtag#AIAgents hashtag#riskmanagement

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