Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

ChatGPT Security Risks for Enterprises: Real Incidents, Controls and Best Practices

Security teams often evaluate ChatGPT by examining its outputs. The greater risk, however, lies in the information employees submit before the model generates a single response. As generative AI becomes a big part of daily business operations, prompts increasingly contain confidential customer data, proprietary source code, legal documents, and strategic plans.

AI Governance in Financial Services: The Use Case Sets the Rules

An AI governance framework tells a financial institution to inventory its systems, assess risk and document decisions. Consumer protection law tells it something different and considerably harder, which is that a model unable to produce specific reasons for a credit denial cannot lawfully be used to make one. ‍ That distinction is what separates AI governance in financial services from AI governance generally.

Browser AI Events in the SOC: What to Send and What to Suppress

Browser-layer AI monitoring produces events, and the natural next step is forwarding them to the security operations center. Consider what they arrive into. Industry research for 2026 puts false positives at close to half of all alerts, with around forty-two percent going entirely uninvestigated. ‍ Browser AI events are behavioral anomaly alerts, and behavioral anomaly alerts are the category analysts already deprioritize, precisely because they are noisy by nature.

2026 H1 Threat Review: AI, Ransomware & Emerging Cyber Threats

Cyber threats continue to evolve, and the first half of 2026 delivered no shortage of new challenges. Forescout Research – Vedere Labs' 2026 H1 Threat Review examines the latest trends in vulnerabilities, ransomware, threat actor activity, supply chain security, and AI-driven attacks. Discover the key findings, emerging attack patterns, and practical recommendations security teams can use to better understand and reduce risk.

AI Risk Management: Defining, Measuring, & Mitigating the Risks of AI

AI is merging into the modern workplace at roughly the pace computers did in the 1980s, and the risks are evolving just as fast. IBM and Ponemon found that 97% of organizations hit by an AI-related security incident lacked basic access controls, and 63% had no AI governance policy at all. In this video, Yakir breaks down the seven categories of AI risk every GRC leader needs to understand, and what separates knowing you have a control gap from knowing what it will cost you.

TITAN AI Demo Series: Driftnet Power-Filtering for Threat Hunters

Threat hunting often means following a lead without knowing where it will take you. Your search tools shouldn’t make you choose between exploring a hunch and losing your original results. Driftnet gives threat hunters multiple ways to refine artifact searches as they investigate. Use Add Filter to explore a narrower view without changing the underlying query, Add to Query to make that refinement persistent, or exclude artifacts to quickly zero in on what remains.