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2025 Threat Analysis: The Dangers of Agentic AI and Supply Chain Attacks in Indonesia
By VELSICURO
29 October 2025
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2025 Threat Analysis: The Dangers of Agentic AI and Supply Chain Attacks in Indonesia

The cybersecurity landscape has fundamentally changed. The new "State of AI Cybersecurity 2025" report from Darktrace paints a vivid picture: Artificial Intelligence (AI) is no longer just an auxiliary tool; it has become a primary player on both sides of the digital battlefield.

The report highlights how AI is now being massively leveraged by attackers (Offensive AI) to launch attacks that are faster, more sophisticated, and harder to detect. As a result, traditional, rule-based, and signature-based defense systems are now critically inadequate.

 

The New Face of Attacks: Offensive AI in Action

 

The era of manual human hacking is slowly fading. Today, offensive AI is taking over, enabling attacks at a scale and speed never seen before.

The report identifies several key ways attackers are using AI:

  1. Hyper-Sophisticated Phishing and Social Engineering: Generative AI can now craft grammatically perfect, highly personalized, and convincing phishing emails. They can accurately mimic the writing style of a CEO or colleague, making them nearly indistinguishable from legitimate messages.

  2. Automation of Multi-Stage Attacks: AI can automate the entire attack lifecycle. This includes initial scanning for vulnerabilities (reconnaissance), moving silently within the network (lateral movement), and finally exfiltrating data or deploying ransomware, all with minimal human intervention.

  3. "Low-and-Slow" Attacks: Instead of "brute force" attacks that are easily detected, AI allows hackers to move "low and slow." They disguise their activity as normal user behavior, blending in with legitimate network traffic, thereby evading traditional security systems that look for major anomalies.

 

Traditional Defenses Are No Longer Enough

 

The core problem is that most existing security systems—like firewalls, antivirus, and SIEMs—are designed to fight known threats. They operate based on rules and "signatures" from malware that has been seen before.

Offensive AI, on the other hand, creates novel (new) attacks every single time. These attacks have no signature, allowing them to bypass traditional defenses with ease.

 

The AI vs. AI War: The Need for Autonomous Defense

 

The "State of AI Cybersecurity 2025" report concludes that the only effective way to combat AI-driven attacks is by using AI for defense.

This is no longer a human-vs-machine fight, but a machine-vs-machine war. The cyber world now requires "Defensive AI" that possesses self-learning capabilities.

This type of AI-driven defense works by understanding the normal "pattern of life" of every user and device within a network. Instead of looking for a known "bad guy," it looks for "strange behavior" or subtle anomalies that deviate from that normal pattern. When an anomaly is detected, the defensive AI can take autonomous response actions in seconds—far faster than any human security analyst ever could.

 

Reference: https://www.darktrace.com/the-state-of-ai-cybersecurity-2025

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