Name: Mitigating AI Security Risks in Content Generation: Securing API-Based AI Systems
Start: 2025-04-16T12:00:00Z
End: 2025-04-16T12:00:19.000Z
Location: BrightTALK
Rating: 4.4

This channel features presentations by leading experts in the field of information security. From application, computer, network and Internet security to access control management, data privacy and other hot topics, you will walk away with practical advice for your strategic and tactical information security initiatives.

Organizations excel at documenting incidents but fail catastrophically at remembering them. Between audits, hard-won lessons evaporate, cultural knowledge resets to zero and enterprises find themselves vulnerable to the same predictable risks that should have been eliminated months ago.

This session reframes security culture as a living control system where organizational memory becomes your strongest defense. Discover how to transform retrospectives into measurable feedback loops, quantify learning as risk reduction and embed institutional knowledge into governance frameworks that create compounding resilience rather than cyclical vulnerability.

Join Oksana Denesiuk, Senior Product Manager at Kaiser Permanente and ISSA Advisory Board Member, to explore proven methodologies for building unbreakable organizational memory.

Key Takeaways: 
- Track how lessons learned translate into behavioral change and improved security posture. 
- Build lasting organizational memory through structured post-incident processes that strengthen defenses over time.
- Measure how well your organization learns from incidents and translate that into reduced security risks.
- Transform retrospectives into measurable feedback loops that prevent incident recurrence. 
- Embed organizational knowledge into leadership and accountability models for sustained cultural transformation.

Transform Security Culture into Measurable Organizational Memory

Since technology cannot keep us completely protected, organizations must embrace a culture of cybersecurity to build true resilience. This cultural transformation is essential to safeguard against risks and ensure readiness to respond effectively when incidents occur.

This session explores how leading organizations are embedding cybersecurity into their values, attitudes, and practices. By fostering a culture of resilience, businesses can strengthen their ability to anticipate, adapt to, and recover from cyber threats. Learn why every manager has a pivotal role in shaping this culture and how to implement strategies that drive lasting change.

Join Dr. Keri Pearlson, Principal Research Scientist at MIT Sloan School of Management, to explore actionable steps for building a culture of cybersecurity that protects your organization and empowers your workforce.

Takeaways:
- Understand cyber resilience thinking and how it differs from traditional protection strategies.
- Discover key mechanisms for fostering an effective cybersecurity culture.
- Gain actionable insights for managers to enhance resilience at work and home.
- Learn from real-world examples of organizations successfully embedding cybersecurity into their culture.

Building Cyber Resilience Through Culture in 2026

Mergers and acquisitions create exponential cyber risk exposure, yet many organizations lack quantified risk frameworks to guide critical business decisions. As cyber threats evolve and regulatory scrutiny intensifies, executives need concrete data to balance growth opportunities against security investments.

Traditional risk assessments fail during rapid organizational change. This session reveals proven methodologies for translating cyber vulnerabilities into financial impact metrics that drive boardroom decisions. Learn to build communication frameworks that align security investments with business objectives while maintaining stakeholder confidence throughout complex organizational transitions.

Join Vincent Amanyi, Founder of Boleaum Inc, to explore actionable strategies for enterprise cyber risk quantification and communication.

Key Takeaways: 
- Develop risk appetite frameworks that identify, prioritize, and absorb organizational risks with minimal business disruption. 
- Master cyber risk quantification techniques that assign tangible dollar values to security threats across all business levels.
- Build structured communication models to effectively convey cyber risk criticality to diverse stakeholder groups. 
- Implement scalable cybersecurity benchmarking practices for growing organizations. 
- Create boardroom-ready risk reports that support strategic decision-making during M&A activities.

Quantify Cyber Risk Impact for Strategic M&A Growth

Breaches have become a daily reality. Dark web activities and emerging threat vectors outpace traditional defenses, creating blind spots that adversaries readily exploit. Without early warning systems, businesses remain vulnerable to sophisticated attacks that could have been prevented.

Effective Cyber Threat Intelligence (CTI) transforms raw intelligence into actionable insights that enable proactive defense strategies. This session demonstrates how to operationalize intelligence, map adversary tactics to business risks, and implement early warning systems that prevent breaches before they occur. Learn to distinguish signal from noise and convert threat intelligence into measurable risk reduction metrics that resonate with executive leadership.

Leverage Cyber Threat Intelligence for Proactive Risk Mitigation

Open-source software drives enterprise innovation, but unmanaged vulnerabilities create operational risks and regulatory exposure. As cyber threats evolve and compliance frameworks tighten, executives face mounting pressure to balance innovation speed with robust security governance.

Traditional approaches to OSS security often create friction between development teams and security requirements, leading to shadow IT practices and increased exposure. This session presents proven frameworks for integrating security into OSS workflows while maintaining developer productivity and meeting emerging regulatory demands like the EU Cyber Resilience Act.

Join Yesenia Yser, Security Engineer and Open-Source Advocate, to explore enterprise-grade strategies for OSS risk management.



Key Takeaways: 

Implement governance frameworks that protect OSS dependencies without slowing development
Create shared accountability between security, procurement, and engineering teams
Apply SLSA, SBOM, and OpenSSF standards to build enterprise-wide security trust
Balance regulatory requirements with collaborative open source community practices 
Turn OSS security management into a strategic business differentiator

Securing Open-Source Dependencies at Enterprise Scale

The current data security and privacy protection landscape is awash with tools, acronyms, buzzwords that promise to make data breaches and privacy incidents a thing of the past. Yet hotel chains, healthcare providers, banks, department stores and even governments constantly fall victim to data breaches, ransomware or nation-state attacks. 

The plain truth is that tools are only as good as the people that use them and the processes that go with it. Two thousand years ago, the Roman empire had better military tools than the nations they conquered. Yet through time, the Romans fell to the barbarians and are merely remembered through their ruins. Likewise, companies with the latest and most buzzworthy technology implemented still manage to fall victim to attacks. 

In this presentation, industry thought leader Ralph Villanueva will tap into over 15 years’ experience of data security and privacy protection to show why ultimately, the people behind the tools and the processes they use matter more in securing your organization’s data. 

Key Takeaways:
 - How to best deploy tools in the most cost-effective way to optimize benefits.
 - How to best deploy tools to mitigate data security risks from internal and external threats. 
 - The importance of a balanced and holistic approach to data security that equally considers people, processes and technology.

Tools are Nothing: Why People and Process Matter More in Data Security and Privacy

Data security has entered a new era, one defined by AI-powered threats, expanding cloud ecosystems, and evolving global privacy regulations. 

This session presented by TD Bank's Pankul Chitrav explores the critical shifts reshaping how organisations must protect sensitive information in a boundaryless digital world. We will break down the top risks, the essential capabilities of modern security architectures, and the must-have tools for protecting data across endpoints, cloud platforms, and AI workflows. From zero trust to automated posture management and advanced data discovery, you’ll learn what’s required to stay ahead of adversaries and maintain compliance. Whether you’re modernising your security program or building one from the ground up, this talk equips you with the insights needed to create a future-ready data protection strategy for 2025 and beyond.

Future-Ready Data Protection: Securing Modern Data Ecosystems in an AI-Driven World

Cyberattacks are continuing at pace and we're regularly hearing of new data breaches. But who is responsible for ensuring the security of personal data? 

Traditional data protection approaches are failing against modern attack vectors. Organizations need future-ready strategies that go beyond compliance checkboxes to create resilient security frameworks. In this session, we'll explore the current risks to personal data & privacy and delve into the range of models that can be used to protect your organizations critical assets.

This webinar will take you through examples of recent data breaches, identifying the challenges being experienced, learning from what went wrong and how best organizations can plan for the future. Such planning will investigate current good practice, adding some “steroids” to them such that organizations can hopefully stay in front of the next “breach”!

Steve Yates – Chairman of the Resilience Association, will share frontline experience about critical data assets security and protection of user privacy.  

Key Takeaways:

- Be aware of the challenges being experienced in the protection of data security & privacy;
- Understand how best to plan your data resources and capacity to meet tomorrow’s defense;
- Discover the core organizational elements needed for the establishment of a strategic, tactical and operational solution

Strengthen Data Security Strategy for Tomorrow's Resilience Defense

AWS infrastructure offers robust native security mechanisms, but the shared responsibility model places critical configuration burdens on app owners. This creates gaps that attackers can actively exploit through misconfigurations, privilege escalation, and cross-service vulnerabilities which can compromise entire cloud deployments.

Security automation emerges as an essential defense strategy for threat modeling, enabling businesses to enforce security best practices from deployment through ongoing operations. Automated security controls provide continuous monitoring, real-time threat detection, and optimized remediation across AWS services. This ensures a consistent security posture while reducing human error and response times.

Join Ernesto Marquez, Founder and Project Director at Concurrency Labs, to explore proven AWS security automation strategies for threat mitigation.

Key Takeaways: 

- Implement automated security controls that enforce best practices across AWS services 
- Deploy continuous monitoring and real-time threat detection for multicloud environments 
- Configure automated remediation workflows for common security vulnerabilities 
- Integrate AWS security automation tools into comprehensive threat modeling frameworks 
- Establish governance policies that maintain security consistency across cloud deployments

Deploy Automated AWS Defenses for Threat Prevention

As cloud supply chain attacks escalate in sophistication, traditional SBOMs alone prove insufficient for comprehensive security. While SBOMs provide valuable component inventories, they lack runtime verification capabilities—creating a critical blind spot that malicious actors increasingly exploit. This gap between static analysis and runtime behavior represents one of the most significant vulnerabilities in modern cloud environments.

The "Bill of Behavior" (BoB) approach addresses this challenge by providing vendor-supplied profiles of expected runtime behaviors. Generated using eBPF technology, BoBs codify legitimate syscalls, file access patterns and network communications. This enables immediate anomaly detection without custom rule creation, allowing organizations to verify software integrity throughout the supply chain and during execution, dramatically reducing the attack surface while simplifying security operations.

Join Dr. Constanze Roedig, Key Researcher at SBA-Research and Founder of Fusioncore.ai, to discover how this emerging standard complements existing SBOM frameworks to create verifiable trust in your cloud ecosystem.

Key Takeaways:
- Understand how Software Bills of Behavior (SBoBs) create verifiable trust between vendors and clients
- Learn practical implementation strategies using existing OCI distribution standards
- Discover how BoBs significantly reduce attack surfaces across both runtime and supply chain vectors
- Explore immediate benefits of receiving vendor-supplied behavior profiles with software packages
- Discover how CNCF Kubescape allows anomaly detection out of the box

Beyond SBOMs: Runtime Verification for Bulletproof Cloud Supply Chains

Organizations are rapidly adopting AI technologies without fully understanding the security implications. This is creating unprecedented vulnerabilities in cloud environments. In turn, with AI accessible to all stakeholders, the human factor has become the weakest link in cybersecurity defense strategies.

This session addresses critical considerations for IT and cybersecurity leaders to balance business innovation with risk management. Learn how to establish ethical AI frameworks, implement proper access controls, and build awareness programs that protect your organization while enabling AI adoption.

Join Kathleen Mullin, vCISO and Consultant, to explore practical strategies for securing AI in cloud environments while maintaining business agility.

Key takeaways:

• Define clear RACI matrices for AI business risk ownership and accountability 
• Assess whether AI solutions truly meet business requirements vs. alternative approaches
• Establish data governance and access controls specifically for cloud-based AI systems 
• Develop comprehensive AI awareness programs for organizational stakeholders 
• Evaluate current and future cloud AI risks within your security framework

Considerations: Securing the Cloud And In Specific AI

As organizations accelerate cloud adoption, sophisticated security technologies often create a false sense of protection while the most significant threats emerge from within. Human behaviour continues to be the weakest link in cloud security, not due to malicious intent, but through everyday mistakes that inadvertently expose critical systems.

When they create friction, security measures designed to protect can inadvertently increase risk as users will find shortcuts to achieve their legitimate objectives. This session explores the psychology behind user decision-making and reveals how threat actors exploit human nature to bypass cloud defenses, turning legitimate business processes into attack vectors.

Join Simon Ratcliffe, independent management & technology consultant, to discover practical strategies for human-centered cloud security.

Key Takeaways:

- Identify psychological triggers that make users vulnerable to cloud-based attacks 
- Recognize how security friction drives risky user behaviors and workarounds
- Design user-centric security that reduces human error without compromising protection 
- Develop indicators to detect insider threats before they escalate 
- Build security awareness programs that create lasting behavioral change

Securing the Human Element: Why People Remain Cloud Security's Top Vulnerability in 2025

Insider threats are one of the most challenging security risks in multicloud environments, where authorized users can exploit fragmented access controls and limited visibility across platforms. When organizations lack comprehensive oversight of user activities, data flows and privilege escalation paths, the risk posed by human error and malicious insiders is much greater.



Multicloud architectures amplify insider threat risks through inconsistent identity management, scattered audit trails, and complex permission structures that create blind spots for security teams. Strategic threat modeling designed around insider risks enables organizations to map user access patterns, identify privilege abuse scenarios, and implement behavioral monitoring across all cloud platforms before incidents occur.



Join Sandeep Tripathi, IT Solutions Designer at Daimler Truck AG, to discover systematic approaches for detecting and preventing insider threats in complex multicloud environments.



Key Takeaways: 

- Identify insider risk scenarios across cloud platforms using threat modelling frameworks
- Implement comprehensive user behavior analytics and cross-cloud activity monitoring
- Limit insider threat impact and lateral movement using zero-trust access controls.
- Develop incident response protocols for insider-driven security breaches
- Create governance frameworks for managing privileged access in multicloud environments

Mitigate Insider Threats in Multicloud Through Strategic Modeling

Every minute your cloud infrastructure grows, it creates new entry points for potential attacks. As organizations rush to embrace cloud innovations, they're unknowingly building digital labyrinths where traditional security measures fall short.

Cloud security threats are often perceived as purely technical challenges, but the human factor remains one of the most significant and underestimated risks. Misconfigurations, weak passwords, phishing attacks, and inadequate training open doors to breaches even in sophisticated environments. Employees inadvertently expose sensitive data through social engineering, while administrators overlook crucial updates. Insider threats pose significant risks when cloud systems are accessible from anywhere.

Join Jyotirmayee Pradeep Kumar, Vice President of Cloud DevOps at a leading global bank, to explore human factors in cloud security threats.

Key Takeaways: 
- Human error as the leading cause of cloud security breaches 
- Phishing attacks and social engineering threat vectors 
- Managing insider threats in distributed cloud environments 
- Essential security awareness training and culture development 
- Zero Trust architecture implementation strategies

Managing Human Risk in Cloud Security Operations

AI technologies are simultaneously completely transforming business operations and creating new security vulnerabilities that cannot be addressed by technical safeguards alone. When implementing AI-driven solutions, human oversight is the biggest differentiator between secure innovation and catastrophic data breaches. As such, human intervention is both the biggest vulnerability and most significant defense in organizational security architectures.

To address this challenge, IT leaders can build a security champions program—a network of engaged employees who understand AI-specific threats and serve as frontline defenders. This group bridges the gap between security teams and other business units. They spread security awareness throughout the organization while maintaining operational efficiency.

Join Vincent Amanyi to discover proven strategies for empowering a team of security champions who can help safeguard your organization's AI initiatives and digital assets.

Key Takeaways:

- Learn to assess AI-related security risks across all business functions
- Design a people-centric security strategy that combines technical controls and human intelligence
- Establish and structure an effective Security Champions Committee with clear roles and responsibilities

Fortifying the Human Firewall: Cultivating Security Champions in Today's AI Landscape

In today's threat landscape, where the average data breach costs organizations $9 million, your employees represent both your greatest vulnerability and your strongest defense. As AI-powered threats become more sophisticated and remote work expands the attack surface, traditional security awareness approaches are failing to create lasting behavioral change. The human element remains implicated in over 80% of breaches, yet most training programs still focus on compliance checkboxes rather than cultivating security champions.

Effective security awareness requires a strategic approach that addresses psychological barriers, leverages behavioral science and creates sustainable security habits. By reimagining how we engage employees—from executive leadership to frontline staff—organizations can transform their security culture from a perceived burden into a competitive advantage that measurably reduces incident rates and response times.

Join Ralph Villanueva, with 15+ years leading enterprise security awareness programs, to discover proven methodologies that transform employee behavior.

Key takeaways:

- Implement psychological triggers that convert passive training participants into active security defenders
- Design role-specific awareness programs that address the unique risks of different departments
- Measure training effectiveness beyond completion rates with behavior-based security metrics
- Secure executive buy-in by connecting awareness initiatives to tangible business outcomes
- Deploy just-in-time learning techniques that deliver training when employees are most receptive

Transforming Human Risk: 10 Battle-Tested Strategies for Modern Security Awareness

Organizations are investing heavily in advanced security tools. But the most critical—and vulnerable—component of cybersecurity defense is people. As AI-driven attacks and quantum-era risks emerge, the gap between technological capabilities and human cognitive readiness threatens to widen dramatically.

Security professionals face unprecedented pressure when responding to incidents. Even with robust detection and recovery tools, factors like stress, fatigue and decision paralysis can significantly increase recovery times and amplify damage. This presentation introduces an expanded MTTR formula incorporating the "Human Cognitive Factor"—a groundbreaking approach that addresses the psychological dimensions of security response that technology alone cannot solve.

Join Sandra Estok (Founder & CEO, Way2Protect) to discover why preparing employees will determine your organization's survival in the 2026 threatscape.

Key Takeaways:

- Master the expanded MTTR formula that quantifies how human cognitive factors impact recovery timelines
- Identify early warning signs of team cognitive impairment before they compromise your security posture
- Implement practical strategies to build psychological resilience and decision-making clarity under pressure
- Establish metrics that measure human performance alongside technical metrics for comprehensive security assessment
- Learn how leadership decisions about culture, team structure, and psychological safety directly influence threat response effectiveness

Strengthening Your Human Firewall: Closing Cognitive Security Gaps Before 2026

Both endpoint security and endpoint management are becoming more challenging, largely driven by an increasingly complex threat landscape and a greater number (and assortment) of both managed and unmanaged endpoint devices. This, combined with an overabundance of tools deployed to deal with these threats and devices, has created a false sense of security and the inability to process all the data being collected.

 To combat this, organizations are making efforts to integrate the teams, tools, and processes involved, and these efforts are having a positive impact on visibility and awareness. Similarly, organizations are eager to adopt new tools like Autonomous Endpoint Management to help them achieve their goals.

In this session from Endpoint Management and Security Gabe Knuth, you’ll learn both what research reveals about the challenges facing organizations, the risks associated with the status quo, and the path forward to improving overall endpoint management and security.

Overcoming Increasing Endpoint Security & Management Challenges

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

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

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

API Management

APIs

Content Management

Security Risk

data leakage

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

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