Name: Unleashing the Power of AI to Transform the SOC
Start: 2025-04-16T18:00:00Z
End: 2025-04-16T18:00:55.000Z
Location: BrightTALK
Rating: 5

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.

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

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

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

According to Unit 42®, 80% of security exposures occur in the cloud, with attacks increasing almost 2x in the past three years. To stay ahead, modern organizations are adopting cloud detection and response (CDR) approaches in record numbers.

Join Forrester VP and Principal Analyst Andras Cser and Palo Alto Networks Technical Evangelist Ory Segal in a candid discussion on the state of CDR. They'll dive deep into cloud security trends, discuss real customer challenges and provide actionable recommendations to help your organization build a resilient CDR program.

What you'll learn:

- The state of cloud security: Understand why traditional security strategies are failing and how attackers are exploiting new cloud vulnerabilities faster than ever.
- Proactive vs. reactive approaches: Discover how a prevention-first approach is crucial to stopping attacks before they escalate.
- A strategic roadmap: Walk away with concrete, actionable steps for building a resilient CDR program, including how to improve threat detection and automate response.

This is a must-attend session for security leaders looking to move beyond reactive defense and stop cloud attacks in real time.

The State of Cloud Detection & Response, Featuring Forrester

Digital transformation is changing how we do business, creating incredible opportunities for growth and innovation. But as we embrace new technologies and workflows, we also open the door to new cyber risks. 

Don't let these challenges slow your progress. Join us to learn how to stop being a gatekeeper and start turning your security operations into an enabler of business growth.

In this session, you'll discover:  
● Discover the latest social engineering trends from Unit 42 research.
● Empower your security teams with automation and machine-learning tools to focus on the most critical threats.
● Strengthen your organization's defenses by leveraging AI to respond faster and more effectively.
● See how the Cortex XSIAM, the AI-Driven SOC Platform makes all of this possible.

Register today and take the first step toward a more secure digital future.

Secure Your Innovations, Outsmart Cyber Risks

Phantom Taurus isn't just another advanced persistent threat (APT), it's an evolution of cyber espionage itself. This highly sophisticated Chinese APT group identified by Unit 42 uses custom-built, evasive malware to bypass traditional defenses and breach high-value targets.

In this live briefing, our Unit 42 experts will share exclusive, actionable intelligence from our investigation conducted over the past two and a half years. You will learn how to:

● Unmask the Adversary: Go behind the scenes of the investigation that began with a single activity cluster and resulted in a newly attributed threat actor.
● Dissect the Novel Malware: Understand the details of the NET-STAR malware suite, including its fileless components and sophisticated evasion techniques.
● Harden Your Defenses: Learn the TTPs of Phantom Taurus to better protect yourself, and see how Palo Alto Networks provides a comprehensive defense against this new threat.

Get the insights you need to stop Phantom Taurus in your organization.

To learn more, check out the threat research: http://unit42.paloaltonetworks.com/phantom-taurus

UNMASKED: Inside a New Chinese Nexus APT

The truth? Upgrading from QRadar to Cortex XSIAM is easier than you think. Join Palo Alto Networks and IBM as we separate fact from fiction when it comes to modernizing your SOC. 

In this fast-paced myth-busting session, we’ll tackle the top concerns about moving to a cloud-native, AI-powered SOC, from fears of time-consuming deployments to worries about cost, complexity, and security. Hear directly from security leaders who’ve made the switch—and haven’t looked back.

Featuring Chris Meenan, formerly the VP of Security Product Management, Threat Management at IBM, now Security Operations Transformation Leader at Palo Alto Networks, Bill Crawford, VP of Sales at IBM, and Danny Milrad, Principal Product Marketing Manager for Unit 42 at Palo Alto Networks, this session delivers expert insights, real customer stories, and practical tips to simplify your journey from QRadar to the future of security operations.

What you’ll learn:
● Why QRadar customers are making the move now.
● What real customers say about migration timelines and outcomes.
● How IBM and Palo Alto Networks can help you upgrade seamlessly.

Don’t let outdated assumptions hold your SOC back. It’s time to debunk the myths and move forward with confidence.

5 QRadar Migration Myths Debunked: Why You Should Move to a Cloud-Native, AI-Driven SOC

The use of AI or Machine Learning is changing the way people work. 69% of organizations say they can't handle cyber threats without AI help. To best leverage AI's ability to improve threat detection accuracy while reducing false positives requires human-AI collaboration. By combining the ingenuity and experiences of human analysts with the speed and efficiency of AI analytic tools will improve threat intelligence operations.   

The presentation professor and consultant Charles Kolodgy will provide useful insight and information, including examples, on how tailoring your threat intelligence program to leverage the best attributes of man and machine will ensure your program is efficient, strategic, and ethical. 

Join this discussion to learn:
- A quick review of threat intelligence.
- Examples of how AI has been used to enhance threat intelligence analysis.
- Discuss what tools and options are available for leveraging human-AI collaboration for the processing of threat intelligence.
- Provide some examples of how man and machine have been combined to improve threat intelligence.

Using Man and Machine to Improve Threat Intelligence Efficiency

As cyber threats grow increasingly sophisticated, traditional reactive approaches to security are no longer sufficient. Proactive defense strategies, powered by artificial intelligence (AI), are revolutionizing how organizations detect, mitigate, and respond to threats. This session explores how AI can predict and prevent potential attacks by analyzing patterns, identifying vulnerabilities, and automating preemptive actions.

Attendees will gain insights into the technologies behind predictive threat mitigation, including machine learning models, behavioral analytics, and anomaly detection. We will discuss how organizations can use AI to anticipate threats, minimize risks, and enhance incident response.

Proactive Defense: Leveraging AI for Predictive Threat Mitigation and Response

Cyber attackers are leveraging advanced technologies to breach systems, but defenders are fighting back with AI-powered solutions. 

This presentation from TD Bank's Pankul Chitrav will explore how AI enhances cyber resilience by automating detection, response, and recovery processes. She will analyze how AI models identify subtle anomalies, mitigate risks in real-time, and enable continuous learning to adapt to new threats. Attendees will gain insights into best practices for integrating AI into existing security architectures.

Automated Defense: AI’s Role in Proactive Cyber Threat Mitigation

The EU is ahead of the US when it comes to AI regulation. As my fellow conference attendee in Amsterdam quipped last year “Americans innovate, Chinese replicate and the Europeans regulate”. While the US still must come up with a federal-wide law, the EU already came up with the EU AI Act in 2023. This is mandatory in all 27 full-fledged member states with over 449 million people. Another EU-birthed AI framework is gaining popularity. The ISO 42001, or the Artificial Intelligence Management System, was finalized in the Geneva, Switzerland-based International Standards Organization (ISO) also in the same year. Combined, these provide, a promising way to mitigate AI security risks among other benefits. 

In this presentation, industry thought leader Ralph Villanueva will highlight the relevant aspects of these two regulatory frameworks and how they can successfully mitigate AI security risks in your organization.

Using the EU Approach to Mitigate AI Security Risks

Microsoft Tay's infamous descent into unintended behavior serves as a stark reminder of AI's potential vulnerabilities in cybersecurity contexts. 

This webinar from industry thought leader John Bambenek explores key lessons from Tay’s deployment, highlighting the importance of safeguarding AI systems from exploitation and model poisoning. Participants will gain insight into managing AI securely by employing resource-augmented generation grounded in trusted frameworks like MITRE ATT&CK, D3FEND, and the NIST Cybersecurity Framework (CSF). Learn how these methodologies empower cybersecurity analysts to rapidly, accurately, and securely interpret security events, preventing adversaries from compromising AI integrity. 

Discover practical strategies for ensuring your organization's AI systems remain resilient against sophisticated AI-driven cyberattacks as well as how to transform the security operations center (SOC) from alert triage into a security program that stops the actual attackers targeting your organization.

What Microsoft Tay Teaches Us About Using AI Safely For Cybersecurity

Artificial Intelligence (AI) is often heralded as the ultimate solution to today’s cybersecurity challenges. However, the reality is that whilst AI holds immense potential, it is also surrounded by a lot of hype. Proofpoint invites you to join us in a webinar that cuts through the noise and provides a clear, evidence-based perspective on the true capabilities of AI in cybersecurity. Our experts will share insights from years of experience, demonstrating how AI can be effectively harnessed to protect against sophisticated threats. We’ll also look at cybersecurity trends and discuss AI’s role for 2025 and beyond.

The evolution of AI in cybersecurity: cutting through the hype

AI-powered content generation introduces security risks, including data leakage, prompt injection, adversarial misuse, and compliance gaps. Companies using AI APIs from providers like OpenAI and Claude must address these vulnerabilities to prevent unauthorized data access and model exploitation.

This session breaks down real-world attack scenarios, including users manipulating AI prompts to extract sensitive information and API endpoints being exploited for adversarial attacks. We will introduce a structured AI security framework and a conceptual product design for mitigating these risks.

Attendees will learn how to implement real-time AI monitoring, enforce API-level security controls, and automate content governance to protect their systems without limiting AI-driven innovation.

Mitigating AI Security Risks in Content Generation: Securing API-Based AI Systems

Dean Sysman, CEO of Axonius, discusses the cybersecurity landscape in the context of evolving technology and AI.
- Key points include the disappearing perimeter, the importance of data and truth in cybersecurity, and the need for a platform that enables collaboration and action across security, IT, and engineering teams.
- The interview emphasizes the dynamic nature of modern IT environments and highlights the role of AI and machine learning in managing large-scale data and mitigating vulnerabilities.

Cybersecurity is a data problem, solving it starts with a single source of truth

In the ever-evolving landscape of DevOps, the paradigm is now shifting - where security is taking the central stage. With vast surface areas including containers, cloud, repositories and third-party components, cyber threats became more prominent than ever before in DevOps.

This presentation will delve into the evolution from traditional DevOps to the advanced usage of artificial intelligence (AI) technologies to automate and optimize the software development and delivery processes. This includes automating code scanning, testing and deployment processes while eliminating the threats in each possible way in the cycle. 

In this session, join Jyotirmayee Pradeep Kumar (Vice President - Cloud DevOps at a well-known global bank) as she unravels the stages of integration of AI at each phase of DevOps. Topics for discussion include:
- Types of AI used in DevOps. 
- Benefits of using AI in DevOps.
- Implementation of AI in DevOps.
- Best practices for using AI in DevOps.
- Eliminating security threats using AI in DevOps.

Security Risks to Consider with AI Integration: AI in DevOps

Strengthening Cyber Security with AI

Cyber threats are no longer static; they morph and adapt at an alarming speed, demanding a transformative shift in security operations. In this BrightTalk Summit session, “Unleashing the Power of AI to Transform the SOC,” we’ll explore how Artificial Intelligence is revolutionizing the Security Operations Center (SOC) and empowering proactive threat defense.

Join us to uncover the latest evasion tactics used by adversaries, as revealed by our threat researchers. Discover how Cortex XSIAM leverages advanced detections and machine learning models to rapidly identify and neutralize sophisticated threats. We’ll delve into practical applications of AI across the threat lifecycle, from real-time detection and automated response to predictive prevention. Through real-world examples, learn how AI-driven security is not just a concept, but a tangible solution for strengthening your organization’s defenses.

Unleashing the Power of AI to Transform the SOC

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Threat Intelligence

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Unleashing the Power of AI to Transform the SOC

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