AI Security Evolves: Trend Micro’s Jin Advocates ‘Fighting AI with AI’
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Trend Micro’s chief platform and business officer Rachel Jin argues that traditional cybersecurity approaches are failing to keep pace with the rapid evolution of artificial intelligence,necessitating a shift toward AI-powered defenses and a fundamental rethinking of the security landscape.
The accelerating pace of AI development is creating new vulnerabilities and empowering adversaries with unprecedented capabilities. Large language models (llms) are now updating monthly, enabling attackers to generate increasingly elegant phishing campaigns, automate malicious tasks, and dramatically scale their operations. This dynamic threat surroundings demands a proactive and adaptive security posture, according to Jin.
the Limits of Static Security
Static security strategies,built around predictability and manual processes,are proving inadequate against the agility of modern threats. “You cannot protect what you don’t see, you don’t know,” Jin stated in a recent interview with Information Security Media Group at AWS re:Invent 2025.”And so the AI attack surface will be a new attack surface.”
Organizations can no longer rely on standardized security packages,she emphasized. Rather, personalization, continuous adaptation, and the ability to rapidly scale defenses are now essential for safeguarding AI-driven environments. This requires a move away from reactive measures toward a more proactive and intelligent approach.
AI as a Defensive Weapon
A key component of this new approach is leveraging artificial intelligence to combat artificial intelligence. Jin believes that “fighting AI with AI” is becoming foundational as attackers increasingly automate and accelerate their attacks. This involves deploying AI-powered tools to detect, analyze, and respond to threats in real-time.
Effective defense also hinges on gaining comprehensive visibility into AI usage within an organization.Understanding how AI agents and machine configuration protocol (MCP) servers are being utilized is crucial for informed policy decisions and proactive threat mitigation.
The Importance of a Security Blueprint
To navigate this complex landscape, Jin recommends that Chief Information Security Officers (CISOs) develop a comprehensive AI security blueprint. This blueprint should map out potential risks, consolidate security tooling, and prioritize budget allocation to address the most critical vulnerabilities.
According to Jin, a well-defined blueprint will help organizations:
- Understand the unique risks associated with their AI deployments.
- Streamline their security infrastructure and avoid redundant tools.
- Allocate resources effectively to maximize their security posture.
Rachel Jin currently serves as the chief platform and business officer at trend Micro, leading the company’s global product, sales, and marketing organizations. She brings over 20 years of experience in engineering, product management, and executive leadership to her role, offering a unique perspective on the intersection of technology, market trends, and strategic vision.
Why: Traditional cybersecurity is insufficient against the rapidly evolving AI threat landscape.
Who: Rachel Jin, chief platform and business officer at Trend Micro, is advocating for a new approach.
What: Jin proposes leveraging AI to defend against AI attacks and developing a comprehensive AI security blueprint.
How did it end?: Jin’s recommendations, shared at AWS re:Invent 2025, emphasize proactive, AI-powered defenses and strategic resource allocation for CISOs to effectively secure their organizations’ AI deployments.the shift is from reactive to proactive security.
