Name: Cybersecurity is a data problem, solving it starts with a single source of truth
Start: 2025-04-16T09:00:00Z
End: 2025-04-16T09:00:28.000Z
Location: BrightTALK
Rating: 4.7

Gain complete visibility and control over your entire attack surface with Axonius. Join us for insights on cybersecurity asset management, vulnerability management, cloud security, and more.

Forget the "new year, new strategy" noise. Let’s fine-tune the strategy you’ve already got and hit the ground running in 2025!
Join our webinar for a deep dive into the Cybersecurity Trends in 2025, where we’ll break down what’s worth your focus and what’s just a passing trend. With the cyber landscape always evolving, we’ll help you stay ahead of the game.

Here’s what we’ll cover:
- 2024 in Review: The big wins, the tough lessons, and what we can learn from them
- 2025 Trends: What’s sticking around and what’s changing (and how to adjust)
Generative AI: Why it matters for your security strategy
How Axonius Can Help: Real, actionable ways to align your strategy with the latest trends

Cybersecurity Trends for 2025: What to Focus On vs What's a Fad?

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

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

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

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

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

Generative AI

Cybersecurity

Threat Horizon

Threat Assessment

CAASM

Machine Learning

Data Security

Cyber Security

Threat Detection

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

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