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AI Security has emerged as one of the most critical and rapidly evolving domains in cybersecurity, encompassing both the security of AI systems themselves and the use of AI to enhance cybersecurity defenses. As artificial intelligence becomes deeply integrated into business operations and critical infrastructure, protecting these systems from exploitation has become paramount.
Large Language Models (LLMs) and generative AI systems face unique vulnerabilities including prompt injection attacks, data poisoning, model extraction, and adversarial attacks designed to manipulate AI decision-making. The OWASP Top 10 for LLM Applications highlights risks such as prompt injection, insecure output handling, and supply chain vulnerabilities (genai.owasp.org). Organizations deploying AI systems must address these novel attack vectors while maintaining traditional security controls.
The cybersecurity landscape is experiencing a shift in the offense-defense balance, with AI enhancing both attacker and defender capabilities (securityandtechnology.org). Defenders leverage machine learning for threat detection, anomaly identification, and automated response, while attackers use AI to create sophisticated phishing campaigns, evade detection systems, and automate vulnerability discovery.
Regulatory frameworks are emerging globally to address AI security risks, including requirements for model transparency, bias testing, and security assessments. Organizations must implement AI-specific security controls, conduct regular model audits, and establish governance frameworks to manage AI-related risks throughout the development lifecycle.
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19th November 2025 | The CISO's 2026 SOC Game Plan
This webinar focuses on how CISOs can evolve from traditional detection-first security models to an exposure-first approach powered by AI SOC Agents. With 2026 mandates, rising operational demands, and Gartner predicting that half of all SOCs will rely on AI-driven decision support, security teams must shift away from manual dashboards and firefighting. The session explains how to reduce noise, increase visibility, and build measurable resilience through autonomous security operations.
Experts will cover how to redesign metrics that matter, transform daily workflows with AI, and create a practical 2026 action plan that enhances performance and ROI. Attendees will learn how to forecast emerging risks, plan budgets around autonomy rather than entropy, and rebuild their architecture to meet the next generation of security leadership expectations.
Company_Webinar • Part of Simbian
19th November 2025 | The CISO's 2026 SOC Game Plan
What You’ll Learn:
The 2026 Mandate: How to evolve from detection-first to exposure-first security models. CISO Leverage in the AI Era: Turning operational drag into measurable resilience with AI Agents. Implementing AI in Cybersecurity: Transforming buzzwords into a pragmatic 2026 action plan.
Metrics That Matter: Redefining performance and ROI for the age of autonomous operations.
Online • Part of Simbian
19th November 2025 | You’re not overspending, you’re under-saving
This webinar reframes the FinOps conversation from simple cost reduction to long term value creation as organizations expand their cloud presence. The session explains why teams need to shift their mindset from tracking expenses to understanding how cloud investments support business outcomes. Harness experts will walk through the common issues that limit cloud efficiency, including unallocated spend, idle resources and underused commitments, and show how data driven automation helps resolve these challenges.
Attendees will learn how to align finance, engineering and business teams around shared accountability for cloud value instead of just budget control. The discussion also introduces the next stage of FinOps maturity, where autonomous optimization and Zero Drift operations keep environments continuously aligned with policy, performance needs and financial targets. The session highlights how automation improves efficiency at scale and how leadership alignment strengthens the impact of FinOps across the organization.
Company_Webinar • Part of Harness
9th April 2025 | Trust but Verify? The Risks Lurking in AI-Generated Code
The "Trust but Verify? The Risks Lurking in AI-Generated Code" event provided insightful discussions on the potential vulnerabilities and security challenges posed by AI-generated code. Experts highlighted the importance of rigorous verification processes and the need for robust security frameworks. Attendees appreciated the diverse perspectives and practical advice on mitigating risks. The event successfully raised awareness about the critical balance between leveraging AI advancements and ensuring cybersecurity.
Online • Part of Symbiotic Security
25th April 2024 | Software Supply Chain Assurance
The Software Supply Chain Assurance event provided valuable insights into the complexities of securing software supply chains. Experts shared strategies for mitigating risks and enhancing transparency. Attendees appreciated the diverse range of topics, from vulnerability management to compliance. The event fostered networking opportunities, allowing professionals to exchange ideas and best practices. Overall, it was a well-organized and informative event, contributing significantly to the understanding of software supply chain security challenges.
Online • Part of Harness