Threat actors are using agentic AI to launch adaptive, autonomous attacks that move at machine speed. The only way forward is to fight AI with AI. In this Bank Info Securuty article, Sarah Banks, Vice President of Product Management at Gigamon, shares how Gigamon Insights combines agentic AI and network-derived telemetry to empower defenders with reasoning, context, and speed. Read how CISOs are redefining cyber resilience in the age of AI: https://ow.ly/cEw350XqQu4
Gigamon Insights: Fighting AI with AI for Cyber Resilience
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AI is built to mimic human intelligence; therefore, AI's vulnerabilities mimic human vulnerabilities. That's why Proofpoint is evolving its leading platform to secure humans and agents alike. In this video, Proofpoint's Ryan Kalember shared with NYSE how we are delivering value to CISOs as they navigate the critical requirements of the secure #agenticworkspace.
Proofpoint CSO on NYSE Floor Talk | Proofpoint Protect 2025
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AI-Driven SOCs: Transforming the Future of Threat Detection As cyber threats evolve and enterprises expand, the Security Operations Center (SOC) stands at the core of defense. But can AI truly redefine detection speed, accuracy, and efficiency? In this exclusive ET Studios panel discussion powered by Securonix, industry leaders decode how AI is revolutionizing cybersecurity: From reducing alert fatigue to enabling self-healing systems From contextual threat intelligence to faster, smarter incident response Featuring: Amit Avasthi, Head – Information Security, Noida International Airport Abhishek Bansal, SVP & CISO, Axis Max Life Insurance Limited Dipesh Khora, Country Director, Securonix Watch how AI is shaping the next-generation SOC — where human intelligence meets machine precision: https://lnkd.in/gWK_7S3A #ETStudios #CyberSecurity #AI #ThreatDetection #Securonix #CISO #EnterpriseSecurity
AI-Driven SOCs: How AI is Transforming Threat Detection | ET Studios x Securonix
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AI-orchestrated cyber-espionage campaign: Anthropic has published a detailed report on what they call the first documented AI-orchestrated cyber-espionage campaign. https://lnkd.in/d93Rgn-y In September 2025, a state-sponsored actor manipulated an AI agent into carrying out intrusion attempts across about thirty global organisations. The concerning part is that the AI wasn’t just assisting, it was operating with minimal human involvement, making decisions and executing actions on its own. Anthropic disabled the accounts, notified affected parties, worked with authorities, and began building improved detection systems focused on identifying malicious agent behavior. For leaders adopting AI agents internally, this is an important reminder that traditional, human-centric security controls are no longer sufficient. We now need boundaries, governance, and monitoring designed specifically for AI agents, essentially a security model built around what autonomous systems can access and execute. A new era of cybersecurity is emerging, and we need to adjust our architecture accordingly.
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Multi-modal AI systems are vulnerable to cross-modal attacks where hidden instructions in non-textual inputs can bypass security measures. A "Secure-by-Design" approach addresses this by integrating multi-layered defenses and adversarial training to detect and resist such threats. This transformation ensures AI systems are secure and reliable, making them suitable for critical environments like finance and healthcare. #AISecurity #AIandSecurity #AICompliance
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🤖 Cybercriminals are weaponizing AI — the NCSC reports a surge in #AI-powered attacks. But partners can turn the tide. With Gigamon and network-derived telemetry, you can help customers fight AI with AI and deliver stronger security outcomes. 👉 Learn more: https://lnkd.in/e8-73mnW
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How Cyber Defenders Are Using AI to Beat AI We all know the bright side of AI how it makes life easier, faster, and smarter. From predicting diseases in hospitals to powering self-driving cars and managing global supply chains, AI has become our trusted helper. Read More: https://lnkd.in/dQaRsNWN By M R Yuvatha, Senior Correspondent, #siliconindia Santhosh Muralidharan, Founder, Haidata (Formerly Ainnotate) Norton Bitdefender Kaspersky #AItechnology #AIdrivenattacks #digitalsecurity #smarttechnology #generativeAI #AIbaseddefensesystems #AIenabledintelligence #digitalprotection #intelligentsecurity
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🚨 Snyk Labs blog alert 🚨 AI systems demand a new approach to security. 🤖 Agentic AI introduces complex, compound risks traditional tools can’t detect. 🧠 Continuous offensive testing enables always-on validation and proof-of-exploit evidence. ⚠️ Red testing uncovers vulnerabilities and helps teams prioritize what truly matters. Explore how continuous offensive testing builds trust in AI systems 👇 🔗 https://lnkd.in/emst92SZ #Snyk #AISecurity
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The age of AI has removed any illusion of obscurity. Every exposed server, every forgotten domain, and unpatched asset is now a flashing beacon to automated systems built to find weaknesses in seconds—not months. Cybercriminals no longer need luck or patience; AI grants them relentless vision and precision. If we continue to overlook the security of Internet-facing assets, we are not just inviting intrusion—we are guaranteeing it. The next breach won’t be a surprise; it will be the predictable outcome of neglect. This is the new battlefield. Secure your assets. Eliminate exposures. Treat every Internet-facing system as critical. In the AI-driven threat landscape, defense is no longer optional—it is survival.
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Adversarial AI is changing everything. We’ve entered a new era of cyber warfare, one where attackers no longer rely on scripts or signatures, but autonomous intelligence that learns, adapts, and strikes in real time. CyberActive was built to fight back. Our Autonomous AI defends at machine speed, predicting attacker intent, correlating multi-vector signals, and executing autonomous responses before damage can occur. Because in the age of adversarial AI, detection isn’t enough. Only autonomous deterrence wins. Adversarial AI has a new adversary. It’s called CyberActive. #CyberActive #Cybersecurity #AdversarialAI #AutonomousDefense #AI #MachineSpeedSecurity #Innovation #ZeroDayDefense #CyberResilience
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Multimodal AI models face a hidden vulnerability: they can misinterpret real-world inputs, like transparent objects, creating opportunities for exploitation. A10 experts Jamison Utter, Diptanshu Purwar, and Madhav Aggarwal explain why internal defenses aren’t enough and why an external AI firewall is essential to secure AI systems against these sophisticated attacks.
AI Hallucination & Invisible Attacks: Why Multimodal AI Needs an External Firewall
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