Скачать или смотреть "We Used to Call This a Virus": Why Agentic AI Has the Same Powers as Malware (Tamil)

In the 1990s, if software could read files, execute code, and make network calls, we called it malware and built entire industries to stop it. Today, we voluntarily install software with the exact same capabilities, give it our API keys, and call it a "coding assistant".
I've spent 22 years in enterprise IT, and I can't ignore the uncomfortable truth: the feature list for agentic AI tools (like Claude Code, Cursor, and Windsurf) and computer viruses is identical. Only the marketing has changed.
In this video, we break down why modern AI agents present profound security concerns and what CISOs and developers must do now to apply decades of security wisdom without killing innovation.
🛑 Why "You Approved It" Is a Failed Security Model
The primary defense for agentic AI is user consent, but this rapidly becomes a ritual, not a control. We discuss why users always choose convenience over security and how enabling "YOLO mode" or "auto-approve" leads to severe approval fatigue. After approving 200 legitimate changes, the 201st dangerous action is statistically likely to slip through unread.
⚠️ Real Risks & Attack Vectors
These powerful capabilities enable active attack vectors that security researchers are already exploring:
• Prompt Injection: A malicious artifact (like a README or comment) can steer the agent into performing unsafe actions, such as instructing it to exfiltrate .env files or SSH keys.
• Supply Chain Compromise: A compromised plugin or server can turn a helpful assistant into a trojan horse.
• Credential Exposure: Agents often have access to repos containing production secrets, which can be leaked accidentally or intentionally via logs or network calls.
• Shadow IT: Developers adopt these tools faster than governance can keep up, putting sensitive codebases at risk.
🛡️ What We Must Do Now
We must bring our security instincts to this new paradigm. Good intentions do not reduce the blast radius.
1. Sandbox by Default: Keep agents away from production credentials and sensitive environments (least privilege).
2. Treat Agents Like New Contractors: Start with limited access and gradually expand trust over time.
3. Audit the Trust Stack: Verify what data leaves your machine, who the vendor is, and whether the training pipeline is safe (since operating on faith is not a control).
4. Kill "YOLO Mode": Demand explicit confirmation for critical actions like shell execution, network calls, and secret access.
The question isn't "Is AI a virus?" The question is: Are we applying the same scrutiny to AI that we learned to apply to every other powerful piece of software?
Let me know in the comments: What guardrails are you putting in place for agentic AI in your organization?

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