Name: 3 Ways to Identify Your AI & Cloud Network Security Blind Spots
Start: 2025-11-24T15:02:00Z
End: 2025-11-24T15:02:36.000Z
Location: BrightTALK

Palo Alto Networks is the next-generation security company, leading a new era in cybersecurity by safely enabling applications and preventing cyber breaches for tens of thousands of organizations worldwide. Built with an innovative approach and highly differentiated cyberthreat prevention capabilities, our game-changing security platform delivers security far superior to legacy or point products, safely enables daily business operations, and protects an organization's most valuable assets. Find out more at www.paloaltonetworks.com or call us at 1-877-524-1031.

As enterprises race to adopt generative AI, most overlook the crucial reality: LLMs don’t behave like traditional applications and create an entirely new class of security risk. From prompt injection and data leakage to plugin abuse and shadow agents, the risks associated with LLMs are often misclassified and rarely mitigated.

Dive into a detailed look at the newly defined OWASP Top 10 for LLM Applications, including the first-ever interactive threat model for GenAI environments. You will receive practical guidance on emerging AI threats and see how Palo Alto Networks’ AI Security solutions and services can give you control across the AI lifecycle.

You will delve into:
● The 10 most critical vulnerabilities in LLM-powered apps
● Real cases of model abuse, data leakage and prompt injection
● What preventive and detective controls to prioritize first

Navigating the OWASP Top 10 for LLM Applications: What Security Leaders Need to Know

Security operations are at a breaking point as AI-powered threats outpace the legacy, human-centric SOC.To combat AI-enabled adversaries, SecOps must abandon slow, traditional SIEMs and unify security operations on an AI-driven, automation-first platform to detect, investigate and respond at machine speed. .  
 
This webinar explores how organizations are rethinking the security data layer and SecOps modernization in the AI era. Learn why two-thirds of organizations are reevaluating SIEM solutions and how platform-based approaches help tackle growing challenges. Key topics include:
 
Unleash AI automation beyond SOAR for autonomous, rapid threat response.
Transform SIEM into an integrated AI-driven SOC platform that unifies data and streamlines SecOps.
Evolve your security data layer without rip-and-replace risk, protecting all investments in rules and threat intelligence.

 
Watch to see how modern SecOps platforms help defenders match AI-enabled attackers’ speed while reducing complexity.

Modernizing SecOps and SIEM for the AI era

Join us for the webinar "Exploring the Importance of Smart, Connected and Secure Aviation" to discover how digital transformation is reshaping airport operations and passenger experiences. This engaging session will feature industry experts discussing key topics, including the role of private wireless, 5G, AI, and cybersecurity in building smarter and safer airports. Panelists will share insights into optimizing the passenger journey through connected ecosystems and Industry 4.0 use cases, as well as explore emerging trends and future opportunities in aviation.
 
Attendees will gain valuable insights into successful deployments, technical best practices, and strategies to enhance operational efficiency, passenger satisfaction, and digital trust in a connected airport environment.

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Exploring the Importance of Smart, Connected and Secure Aviation

Traditional security posture tools bury your team in thousands of compliance-focused alerts, leaving you exposed to the leading causes of breaches: misconfigurations and over-privileged IAM access. The attack surface also includes sensitive data sprawl (DSPM) and complex GenAI model risks (AI-SPM). You need to know what attackers are actually targeting, not just what is misconfigured.

Join experts from Unit 42, Palo Alto Networks’ elite threat research team and Cortex Cloud product specialists to transform your cloud security. 

In this webinar, you will learn to:

● Move Beyond Compliance: Understand why compliance-only CSPM fails and hear Unit 42 insights on how attackers target data and AI assets.
● Prioritize with Intelligence: Discover how Cortex Cloud delivers a decisive Risk Score by correlating misconfigurations, data sensitivity, and Unit 42 threat TTPs.
● Unify and Secure: Explore Cortex Cloud, the comprehensive CNAPP solution that unifies CSPM, DSPM, and AI-SPM across the entire lifecycle.
● Defend the AI Frontier: Implement visibility and control over your AI stack, scanning model pipelines and preventing data leakage risks.

Stop reacting to noisy alerts. Start proactively preventing breaches by defending the assets that matter most—your data and AI innovations—with intelligence-driven security. Watch the webinar to learn how.

Cortex Cloud + Unit 42: Stop Alerts, Start Preventing Breaches

AI agents powered by the Model Context Protocol (MCP) are reshaping how enterprises work — coordinating tasks, integrating with tools and making autonomous decisions at scale. But the very power that makes MCP so transformative also makes it dangerous. Attackers don’t need to break your infrastructure; they just need to trick your AI. From prompt injections and impersonated services to excessive privilege and compromised “trusted” tools, MCP introduces a new class of vulnerabilities that can quietly erode revenue, trust and compliance.

Traditional security controls aren’t designed for this environment. AI agents move fast, interpret loosely and can be manipulated in ways legacy defenses can’t detect. The question isn’t whether MCP-enabled agents can be exploited — it’s how quickly adversaries will take advantage.

In this session, we’ll demystify MCP, expose the top security gaps it creates and share a practical security playbook for containing AI risk. Whether you’re an executive asking “what’s the business impact?” or a practitioner asking “how do I defend it?”, you’ll walk away with a clear roadmap for securing your agentic future.

You’ll learn:

● How MCP works — and why it’s becoming the backbone of agentic AI.
● The most common and dangerous ways AI agents can be tricked.
● Security strategies to control agent “agency” and prevent rogue behavior.
● What leaders must do now to protect AI-powered systems before attackers strike.

Join us to uncover the hidden risks in MCP — and how to defend your AI before it makes a decision you can’t take back.

Can your AI Be Tricked? Exposing the Security Gaps in MCP

AI systems are no longer theoretical targets — they’re already being exploited. From jailbreaks and prompt injections to data leaks and agent manipulation, attackers are using simple language to probe and break systems once thought secure. Traditional pentesting can’t keep pace with this reality. AI behaves unpredictably, its vulnerabilities change with context and every new update or integration introduces fresh risk.

In this session, we’ll explore why AI needs an entirely new red teaming playbook. You’ll hear real-world evidence of how even the most advanced models fail under adversarial testing, and why continuous red teaming — across models, applications and agents — is now essential. We’ll break down how red teaming works in practice, from simulating guardrail bypasses and data exfiltration to uncovering context-driven flaws that only appear in deployment.

You’ll learn:

● Why AI’s nondeterministic nature breaks the old red-teaming model.
● The most common attack vectors enterprises face today.
● How vulnerabilities differ in models, applications and agents.
● How continuous red teaming builds confidence for developers, executives and customers alike.

Join us to see how AI red teaming turns hidden flaws into actionable insights — helping you protect your business before attackers exploit the gaps.

Red Teaming Your AI Systems Before Attackers Do

Generative AI is transforming how businesses innovate — but it also opens the door to risks that only surface once systems go live. Even rigorously trained models can harbor hidden flaws that attackers exploit through prompt injection, jailbreaks, tool misuse or data exfiltration. These aren’t rare edge cases — organizations have already suffered financial loss, compliance penalties and reputational damage from AI failures.

In this webinar, we’ll show why static testing and traditional tools can’t keep pace with adaptive AI systems. You’ll learn:

• How vulnerabilities emerge when chatbots and agents interact with real users.
• Real-world cases where runtime attacks disrupted operations and eroded trust.
• Why legacy security methods fail to block AI-specific threats.
• A practical framework for runtime protection using inspection, monitoring and adaptive defenses.
• How Prisma AIRS™ AI Runtime Security delivers broad detection and low-latency safeguards without slowing innovation.

Join us to see how runtime protection transforms AI from an unpredictable risk into a trusted, resilient business enabler.

When Hidden Flaws Surface: Securing AI at Runtime

AI is a powerful driver of innovation, but it can introduce an invisible risk: unintentional data leaks. These leaks are often self-inflicted when employees, customers or partners unintentionally expose sensitive data through AI tools. Systems can remember, replicate and resurface confidential information in unexpected ways, leaving organizations vulnerable without a clear forensic trail. The ultimate risk isn’t just fines or a breach notification, but a profound loss of trust from customers, regulators and boards.

In this webinar, we'll shift the conversation from a technical problem to a trust-driven business imperative. You'll learn:

● Why traditional security models fail.
● The most common ways sensitive data slips into and out of AI systems.
● How to build a proactive AI governance strategy with real-time visibility and automated guardrails.
● How to accelerate AI adoption safely. 

Join us to move beyond reactive security and create a responsible AI framework that lets you innovate confidently.

When AI Leaks: Containing and Preventing Sensitive Data Leaks

AI is redefining what’s possible, with over 78% of global enterprises having integrated it into their operations. However, only 6% have an advanced AI security strategy framework. To compensate, many organizations are putting AI guardrails in place, hoping to seal security gaps without slowing innovation.

In this webinar, we'll expose the "guardrail trap" — the reason why these traditional mechanisms often fail under real-world pressure. Drawing on recent examples, we'll show you how adversaries exploit fragmented standards and risky design decisions, turning a "lethal trifecta" of external data, permissive tools and broad access rights into a major liability. 

You’ll leave with a clear framework for avoiding the guardrail trap — and a view into how Prisma AIRS™ can help your organization build AI systems that aren’t just functional, but resilient, compliant and trustworthy.

The Guardrail Trap: Why Existing AI Security Strategies Aren't Enough

Cryptographically relevant quantum computers threaten traditional key exchange methods, leaving encrypted data vulnerable to harvest-now-decrypt-later attacks. Adversaries collect encrypted communications today, intending to decrypt them once quantum computers advance. Organizations must explore protection strategies beyond standard encryption.

This webinar examines quantum key distribution (QKD), an out-of-band key exchange technology using quantum mechanics instead of mathematical formulas. Unlike conventional methods, QKD generates encryption keys through a separate appliance, ensuring harvested data stays secure as attackers never access the key material. Topics include:

· How QKD integrates with VPN infrastructure
· Real-world use cases securing financial and government communications
· QKD’s advantages, limitations, and distance constraints

Learn how early adopters deploy QKD to protect sensitive data against future quantum threats.

What is Quantum Key Distribution?

Traditional random number generators may leave cryptographic keys vulnerable to attacks, including quantum computing threats. As organizations transition to quantum-resistant security, entropy quality for encryption keys is critical yet often overlooked.

This session explores quantum random number generators (QRNGs) and their role in enhancing data security. Palo Alto Networks experts discuss the differences between pseudo-random, true random, and quantum random number generators, highlighting why entropy quality is as vital as key length for protecting sensitive data. The session includes evidence of vulnerabilities from weak entropy and guidance on implementing QRNG technology.

· Types of random number generators and their security implications
· How weak entropy has compromised SSL/TLS servers and IoT devices
· Current QRNG options, from embedded chips to cloud-based services

Watch this webinar to learn how QRNGs can strengthen your cryptographic foundation.

What is Quantum Random Number Generator QRNG?

Quantum computing threatens encryption standards, making the shift to postquantum cryptography (PQC) essential. Traditional algorithms protecting sensitive data today will become vulnerable as quantum computers emerge.

This session provides security leaders a roadmap for PQC migration. Experts from Palo Alto Networks cover technical fundamentals, standardization efforts, and strategies for quantum readiness. Key topics include:

· NIST-approved PQC algorithms for lattice-based, hash-based, and code-based approaches
· Hybrid cipher strategies combining classical and postquantum keys for compatibility and security
· Crypto agility frameworks enabling rapid algorithm transitions
· Migration scope and timeline for VPNs, TLS, certificate authorities, and endpoints

Cryptographic transitions take time—TLS 1.1 remains widely supported despite deprecation. With PQC adoption likely taking 8-10 years, organizations must start planning now to protect against quantum threats.

What is Post-Quantum Cryptography?

The threat of quantum computing to cryptography is imminent, making quantum readiness essential. Delaying initiatives risks exposing sensitive data to harvesting attacks, where encrypted information is collected now and decrypted later when quantum computers advance.

This session provides a framework for transitioning to a quantum-resistant network. Experts from Palo Alto Networks outline steps to assess cryptographic posture, prioritize migration based on business impact, and implement interim protections. Topics include:

· Conducting a cryptographic inventory to identify vulnerabilities
· Categorizing data by sensitivity and business impact to guide priorities
· Strengthening VPN and TLS security against quantum threats
· Using labs to evaluate post-quantum cryptography

Quantum migration is a multi-year initiative requiring careful planning. Start now to protect data needing long-term confidentiality. Watch to build a tailored quantum readiness roadmap.

Kickstarting Your Quantum Readiness Plan

Quantum computing threatens enterprise security as traditional encryption like RSA and elliptic curve cryptography nears obsolescence. Cryptographically relevant quantum computers enable harvesting attacks, where adversaries collect encrypted data now to decrypt later, leaving organizations vulnerable.

This session examines quantum algorithms like Shor's and Grover's that compromise encryption, focusing on risks to VPNs, SSL/TLS, digital signatures, and software signing. Learn why nation-states are harvesting encrypted communications and why immediate action is critical. Topics include quantum-resistant upgrades for key applications, the urgency of addressing harvesting attacks, and challenges with early post-quantum cryptography implementations.

Watch this webinar to understand the quantum threat landscape and why transitioning to quantum-resistant infrastructure must be prioritized before adversaries exploit vulnerabilities at scale.

Quantum Threats: What Every CISO Should Know

The encryption securing digital communications faces a major threat from quantum computers, which could break cryptographic algorithms protecting financial transactions and government secrets. With rapid advancements and investments, a cryptographically relevant quantum computer may arrive sooner than expected.

This webinar explores the quantum computing threat and offers a roadmap for transitioning to quantum-resistant security. Experts Phil Quan and Ru Chesa from Palo Alto Networks discuss how quantum algorithms like Shor's and Grover's threaten encryption, vulnerabilities in current PKI infrastructure, and implications for security. Topics include:

· How quantum computing enables faster cryptographic attacks
· When quantum computers might break encryption
· Government mandates driving post-quantum cryptography
· Steps to inventory cryptographic assets and prioritize migration

Act now to build quantum-resistant defenses before encryption becomes obsolete.

Quantum Computing: Closer than you think–but not as difficult as you expect

Modern data centers face an unprecedented series of security challenges - an increasingly intense threat environment, new threat vectors and risks from every AI app, and the "East-West blind spot," where threats move laterally between servers, completely invisible to traditional perimeter firewalls. This problem grows exponentially in distributed, multi-site environments, where maintaining a consistent security posture often seems impossible.

Join experts from Arista and Palo Alto Networks to understand a unified solution that solves these challenges without requiring a complex network redesign. Learn how the Arista data center fabric intelligently steers traffic to the Palo Alto Networks Next-Generation Firewall for deep, Layer 7 inspection, with policy then enforced at wire speed directly in the network.

This session will demonstrate how this integrated solution:
● Eliminates the East-West blind spot in a single data center.
● Extends to provide a single, consistent security policy across a multi-site environment using a single, seamless management experience
● Avoids common multi-site issues like asymmetric routing and inefficient traffic "tromboning."

Discover how to build a scalable, consistent, and automated Zero Trust strategy for your entire data center infrastructure.

Comprehensive Data Center Security for the Age of AI

Attackers are fully focused on utilizing the identity when infiltrating organizations through their endpoints. Most security teams are still fighting these threats with disconnected tools, creating dangerous blind spots that let threats slip through undetected.

Don’t let siloed security create blind spots. Join us for this webinar where our speakers, Niels van Bennekom from CyberArk, and Nadav Shai Kanon from Palo Alto Networks, will walk through the importance of breaking down silos in your organization’s security to protect the identity at the endpoint.

What you’ll learn:
● The risks organizations face through approaching endpoint protection and security in a siloed manner.
● What a defense-in-depth strategy looks like when protecting endpoints.
● How to transform your organization’s endpoint security from reactive to proactive with solution integrations.

Bridging security gaps with defense-in-depth: Tackling vulnerabilities of siloed security

Organizations face pressure as AI adoption accelerates and cloud environments expand, yet most lack full visibility into their security posture. With 79% of organizations reporting visibility gaps leading to three times more security incidents, the stakes are high. As AI spending surges across 96% of enterprises, identifying vulnerabilities in cloud networks and AI systems is critical.

This webinar explores three approaches to address security blind spots that put your organization at risk. Gain insights to protect cloud infrastructure and AI deployments before incidents occur.

· Techniques for assessing network risk in public cloud environments
· Strategies to test cloud firewalls against advanced threats
· Methods to identify exposures in AI applications, models, and data

Learn how complimentary tools can uncover security gaps and AI vulnerabilities missed by traditional methods. Watch to shift from reactive response to proactive security management.

3 Ways to Identify Your AI & Cloud Network Security Blind Spots

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3 Ways to Identify Your AI & Cloud Network Security Blind Spots

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