Future cyberattacks will be autonomously run by AI: Palo Alto's Oswal - Business Standard

2026-06-23 · Source: artifical intelligence via Google News · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Cybersecurity & Data Privacy · Depth: Fundamental Awareness, quick

Summary

Palo Alto Networks executive vice-president Anand Oswal warns that AI agents are significantly escalating the enterprise threat landscape, a trend expected to intensify with broader agent deployment. Oswal highlighted findings from Project Glasswing, a collaboration with Anthropic, where the AI model Mythos demonstrated approximately a 50% improvement in code writing ability. This enhanced capability is approximated to translate into a greater capacity for vulnerability detection. Notably, Mythos achieved in just two to three weeks what would typically require a full year of manual penetration testing by human researchers. The company also acquired Portkey earlier this year, further indicating its strategic focus on AI-driven security solutions. Oswal emphasizes the critical need for robust governance, real-time controls, and AI-powered security measures for enterprises.

Key takeaway

For AI Security Engineers evaluating defenses against emerging threats, Palo Alto Networks' findings underscore the urgent need to integrate AI-driven security solutions. Your organization should prioritize implementing robust governance frameworks and real-time controls specifically designed for AI agents. This proactive approach is crucial to counter the accelerated vulnerability discovery capabilities demonstrated by models like Mythos, which can achieve in weeks what manual efforts take a year. Evaluate new AI-powered security tools to stay ahead of autonomously run cyberattacks.

Key insights

AI agents, exemplified by Mythos, can accelerate vulnerability discovery by orders of magnitude, significantly escalating cyber threats.

Principles

• AI agents will autonomously run future cyberattacks.
• Better code writing improves vulnerability detection.
• AI-driven security is critical for enterprises.

In practice

• Implement real-time controls for AI agents.
• Develop AI-driven security solutions.
• Prioritize AI governance frameworks.

Topics

• AI Agents
• Cybersecurity
• Vulnerability Detection
• Project Glasswing
• Palo Alto Networks
• AI Governance

Best for: CTO, Investor, VP of Engineering/Data, AI Security Engineer, Security Engineer, Tech Journalist

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Editorial summary, takeaway, and curation by AIssential. Original article published by artifical intelligence via Google News.