We analyzed the security architecture of OpenAI's Atlas browser 🔍 Atlas browser integrates ChatGPT with direct access to every open tab, form field, and authenticated session across all domains. When you enable agent mode, it can programmatically click, submit forms, and navigate using your credentials. This architecture expands the attack surface beyond traditional browser threats. The article breaks down: - Traditional browser security vs. agentic AI - OWASP LLM risks that Atlas introduces, including prompt injection via CSRF attacks, and data exfiltration - OpenAI's advise on enterprise deployment, and regulated environments Full analysis 👉 https://lnkd.in/e7kkDNf2 #OpenAI #Atlas #AISecurity
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🚨 Protect Your AI Systems from Emerging Threats! 🚨 In today's fast-paced digital landscape, the APIs powering AI systems are under unprecedented attacks, such as prompt injection and jailbreaking. 89% of enterprises are unprepared for these AI-specific threats, with breach costs averaging $4.2M. Discover how Apire transforms AI security: ✅ Zero-code deployment with our transparent proxy architecture. ✅ Comprehensive 4-layer defense system. ✅ Full compatibility with OpenAI APIs. Act now and safeguard your AI investments. #AISecurity #EnterpriseProtection #PromptInjectionPrevention
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AI-generated vibe coding speeds up production but introduces vulnerabilities and anti-patterns like excessive comments and poor optimization. Enhanced AI and security guidelines are essential to improve quality. #CodeQuality #AIIntegration link: https://ift.tt/y41deit
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OpenAI launched Atlas this week. Security researchers broke it in 24 hours. Prompt injection attacks. Clipboard hijacking. Unencrypted OAuth tokens. OpenAI's own security chief admits: "This remains an unsolved problem." They shipped it anyway. This is the AI industry in 2025: remarkable innovation, premature deployment, and users as guinea pigs. Read the full analysis: https://lnkd.in/dGavXizU
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In this clip from Securing AI Part 4: The Rising Threat of Hidden Attacks in Multimodal AI, Diptanshu Purwar and Madhav Aggarwal explain why external guardrails are essential for defending against bias, model drift, and emerging multimodal threats. Jamison Utter introduces the next focus in the A10 security series—API and application security for AI-enabled systems—where traditional and AI security intersect to protect the protocols that power intelligent applications.
Application Security for AI: Protecting the Protocols and Systems
https://www.youtube.com/
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In this clip from Securing AI Part 4: The Rising Threat of Hidden Attacks in Multimodal AI, Diptanshu Purwar and Madhav Aggarwal explain why external guardrails are essential for defending against bias, model drift, and emerging multimodal threats. Jamison Utter introduces the next focus in the A10 security series—API and application security for AI-enabled systems—where traditional and AI security intersect to protect the protocols that power intelligent applications.
Application Security for AI: Protecting the Protocols and Systems
https://www.youtube.com/
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In this clip from Securing AI Part 4: The Rising Threat of Hidden Attacks in Multimodal AI, Diptanshu Purwar and Madhav Aggarwal explain why external guardrails are essential for defending against bias, model drift, and emerging multimodal threats. Jamison Utter introduces the next focus in the A10 security series—API and application security for AI-enabled systems—where traditional and AI security intersect to protect the protocols that power intelligent applications.
Application Security for AI: Protecting the Protocols and Systems
https://www.youtube.com/
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In this clip from Securing AI Part 4: The Rising Threat of Hidden Attacks in Multimodal AI, Diptanshu Purwar and Madhav Aggarwal explain why external guardrails are essential for defending against bias, model drift, and emerging multimodal threats. Jamison Utter introduces the next focus in the A10 security series—API and application security for AI-enabled systems—where traditional and AI security intersect to protect the protocols that power intelligent applications.
Application Security for AI: Protecting the Protocols and Systems
https://www.youtube.com/
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In this clip from Securing AI Part 4: The Rising Threat of Hidden Attacks in Multimodal AI, Diptanshu Purwar and Madhav Aggarwal explain why external guardrails are essential for defending against bias, model drift, and emerging multimodal threats. Jamison Utter introduces the next focus in the A10 security series—API and application security for AI-enabled systems—where traditional and AI security intersect to protect the protocols that power intelligent applications.
Application Security for AI: Protecting the Protocols and Systems
https://www.youtube.com/
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In this clip from Securing AI Part 4: The Rising Threat of Hidden Attacks in Multimodal AI, Diptanshu Purwar and Madhav Aggarwal explain why external guardrails are essential for defending against bias, model drift, and emerging multimodal threats. Jamison Utter introduces the next focus in the A10 security series—API and application security for AI-enabled systems—where traditional and AI security intersect to protect the protocols that power intelligent applications.
Application Security for AI: Protecting the Protocols and Systems
https://www.youtube.com/
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In this clip from Securing AI Part 4: The Rising Threat of Hidden Attacks in Multimodal AI, Diptanshu Purwar and Madhav Aggarwal explain why external guardrails are essential for defending against bias, model drift, and emerging multimodal threats. Jamison Utter introduces the next focus in the A10 security series—API and application security for AI-enabled systems—where traditional and AI security intersect to protect the protocols that power intelligent applications.
Application Security for AI: Protecting the Protocols and Systems
https://www.youtube.com/
To view or add a comment, sign in