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TechRadar Pro reported that cybercriminals are increasingly using AI to scale fraud, impersonation, and cyberattack workflows. Citing Flashpoint research, the article highlighted how threat actors are using AI for deepfake-based KYC bypass, synthetic video, voice cloning, fake documents, jailbreak methods, phishing scripts, and prompt workflows. The findings show that AI misuse is becoming more organized, making it harder for businesses to detect fraud, social engineering, and AI-enabled security threats.

Source: TechRadar Pro

What to know:

• Cybercriminals are using AI to create more convincing phishing, fraud, and impersonation campaigns.
• Flashpoint research found AI being used for deepfake-based KYC bypass, synthetic video, and voice cloning.
• Threat actors are also using AI to generate fake documents, phishing scripts, jailbreak methods, and prompt workflows.
• AI tools are making it easier to scale attack tactics that previously required more time, skill, or manual effort.
• The article highlights the need for defenders to understand how AI-enabled threats are evolving across real-world attack scenarios.
• Businesses face growing risks around fraud, identity misuse, social engineering, and AI-generated malicious content.

Why it matters:

For mid-sized businesses adopting GenAI, AI security risk is no longer limited to internal tool usage. Attackers are also using AI to make fraud, phishing, and impersonation more believable and harder to detect. This increases the need for AI security monitoring, employee awareness, governance controls, and stronger visibility into how AI-generated content may be used to target employees, customers, and business systems.

TechRadar Pro reported that autonomous AI agents are creating new security risks as they begin to access systems, move data, and execute workflows without constant human oversight. The article warns that “Shadow AI 2.0” may emerge when unsanctioned agents operate outside traditional identity, access, and monitoring controls, creating hidden paths to sensitive business data.

Source: TechRadar Pro

What to know:

• Self-running AI agents can perform multi-step tasks across business systems with limited human involvement. These agents may access sensitive files, applications, workflows, and enterprise data.
• Unsanctioned agents can operate outside standard identity and access management controls.
• The article warns that “Shadow AI 2.0” could make AI-driven activity harder for IT and security teams to track.
• Key risks include excessive permissions, hidden data movement, prompt injection, and unauthorized workflow execution.
• Businesses need stronger observability, access governance, anomaly detection, and policy controls for AI agent activity.

Why it matters:

For mid-sized businesses adopting GenAI, AI agents expand risk because they can act across systems, not just generate answers. Without clear visibility into what agents access, change, or share, organizations may face data exposure, compliance gaps, security incidents, and weak accountability. This reinforces the need for AI observability, usage monitoring, and governance controls that help businesses detect risky AI behavior before it affects operations.