Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Don't Let AI Put Your Jira Data at Risk

Artificial Intelligence is everywhere nowadays. It helps teams to be more productive, but at the same time, it can threaten your critical project management data. The introduction of AI into Jira opened up new paths for attackers to exploit, new vulnerabilities coming up internally, and human errors. So, in this article, let’s speak about AI data loss in Jira and what measures to take to protect your sensitive data in Jira Cloud.

Cybersecurity in Healthcare: Protecting Patient Data in the Age of AI, IoMT, and Ransomware

Over the past decade, the global healthcare sector has undergone a sweeping digital transformation. Electronic Health Records (EHRs) moved to the cloud, hospitals adopted remote telemetry systems, pharmacies automated workflows, and AI-powered diagnostics entered day-to-day clinical practice. The result is a faster, more connected, and more data-rich healthcare ecosystem. But this connectivity has a cost.

Advanced Data Tokenization: Best Practices & Trends 2025

Breaches got faster. Architectures got messier. And data stopped living in tidy tables. Modern stacks push personal and regulated data through microservices, data lakes, event streams, vector stores, and LLM prompts. Encryption still matters, but it protects containers, not behaviors. As soon as an app decrypts a record, risk comes roaring back.

Snyk Log Sniffer: AI-Powered Audit Log Insights for Security Leaders

Snyk empowers organizations to build fast and stay secure. As security and engineering teams scale their use of Snyk across the enterprise, understanding what's happening across your group and organizations becomes critical–from API integrations and user access patterns to policy changes and security events. However, raw audit logs alone can be overwhelming and difficult to interpret. Security leaders need instant visibility into critical events, risk patterns, and user activity.

AI hype & the future of SecOps, what's changed in 30 years? With Erik Bloch from Illumio [271]

On this episode of The Cybersecurity Defenders Podcast we speak with Erik Bloch, VP of Security at Illumio, about better tools to combat burnout rate and discuss the reality of AI in security. Erik Bloch has 30+ years of information and cyber security experience, both as an IC and as a leader of teams. “People first” has always been his approach. He has led entire security and IT functions at smaller companies, and been the CISOs leading big teams at larger orgs.

Enterprise PII Protection: Two Approaches to Limit Data Proliferation

As enterprise data moves across applications, databases, and analytics pipelines, uncontrolled proliferation of PII increases compliance risk and a potential breach. IT leaders and product managers are often struggling to find the best way to protect data. Protecto Vault helps organizations contain this risk by centralizing PII governance and offering two powerful architectural models to minimize data exposure – the Tokenization Model and the Centralized Profile Model.

EP 20 - Why agentic AI is changing the security risk equation

As enterprises embrace agentic AI, a new security risk equation emerges. In this episode of Security Matters, host David Puner sits down with Lavi Lazarovitz, VP of Cyber Research at CyberArk Labs, to unpack how AI agents and identity security are reshaping the threat landscape. Learn why privileged access is now the fault line of enterprise security, how attackers exploit overprivileged AI agents, and what security teams must rethink before scaling AI. Packed with real-world examples and actionable insights, this is a must-listen for anyone meeting the challenges of AI and cybersecurity.

19 AI Risk Leaders Driving Enterprise Transformation

‍ AI has moved from experimentation to everyday infrastructure, shaping decisions and workflows across nearly every industry. However, in the rush to harness its speed and efficiency, many enterprises adopted GenAI and other AI systems faster than they built the structures necessary to govern them. The result is an all-too-familiar pattern of powerful technology being deployed widely before its risks are fully understood, let alone managed. ‍