Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

AI Risk Management: Benefits, Challenges, and Best Practices

Managing the risks of AI development tools is crucial for organizations looking to responsibly and effectively leverage this technology’s potential. AI offers transformative capabilities, particularly in coding assistance, where tools can speed up development and reduce manual workloads. However, these benefits can come with risks, such as security vulnerabilities and compliance challenges, that cannot be overlooked.

Secure Your AI: Protecting Agentic AI in an API-Driven World

As enterprises embrace agentic AI for transformative business opportunities, they face a critical challenge: ensuring these intelligent systems operate securely. Wallarm, the leader in API-first security, invites you to an exclusive webinar to explore how to safeguard AI agents, APIs, and sensitive data from emerging threats. Learn how to protect your AI ecosystem and ensure business continuity with actionable insights from Wallarm Security Lab. Discover why 90% of agentic AI deployments are vulnerable and how to defend them.

EP 3 - Building Trust in AI Agents

In this episode of the Security Matters podcast, host David Puner is joined by Lavi Lazarovitz, Vice President of Cyber Research at CyberArk Labs, to explore the transformative impact of AI agents on cybersecurity and automation. They discuss real-world scenarios where AI agents monitor security logs, flag anomalies, and automate responses, highlighting both the opportunities and risks associated with these advanced technologies.

AI and AI-agents: A Game-Changer for Both Cybersecurity and Cybercrime

Artificial Intelligence (AI) is no longer just a tool—it is a game changer in our lives, our work as well as in both cybersecurity and cybercrime. While organizations leverage AI to enhance defences, cybercriminals are weaponizing AI to make these attacks more scalable and convincing .

Public sector data stewardship for the AI era

Artificial intelligence (AI) and generative AI (GenAI) are rapidly transforming the public sector, moving beyond theoretical possibilities to real-world applications. Proper data preparedness, stewardship, and governance will play critical roles in successful GenAI implementations. We recently hosted a webinar, Public sector data stewardship for the AI era, with industry experts Max Klaps, research director at IDC, and Dave Erickson, distinguished architect at Elastic.

The Rise of AI Agents-Collaborative Intelligence

2025 marks a pivotal moment. It’s the year AI agents transition from experimental technology to an essential business objective in enterprise operations that can enable growth and scale. These digital counterparts extend human intelligence, redefine workflows and create a new frontier in automation, cybersecurity and decision-making.

Egnyte AI Agents: Transforming Enterprise Workflows With Automation and Intelligence

AI agents are revolutionizing how businesses operate by automating tasks, improving efficiency, and accelerating decision making. These intelligent systems leverage advancements in machine learning, natural language processing, and automation to handle complex workflows with minimal human intervention. Unlike traditional rule-based automation, AI agents can interpret unstructured data, follow contextual workflows, and integrate seamlessly with enterprise systems.

#198 - AI risk and safety with John Vaina, AI Researcher & Red Teamer

On this episode of The Cybersecurity Defenders Podcast we talk with John Vaina, AI Researcher and Red Teamer, about AI risk and safety. John is an expert in AI risk, safety, and security. John currently works as an AI red team operator, tackling some of the most complex challenges in the field. His work spans traditional cybersecurity concerns, such as identifying vulnerabilities in AI systems, to cutting-edge tasks like testing for emergent behaviors and conducting AI alignment and safety audits.

AI Code Generation: Code Security & Quality, Benefits, Risks & Top Tools

AI code generation is exactly what it sounds like — using artificial intelligence to write and improve code. Tools powered by large language models (LLMs) and specialized AI systems can help developers generate boilerplate code, fix bugs, and even refactor entire sections of an application. And developers are leaning in. According to a GitHub survey, 92% of developers have already used AI coding tools at work or on personal projects.