Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

In this installment of our AI Developer Edition Set-up series, Dan Johnson, a software engineer at Protegrity, introduces semantic guardrails. Learn how to protect your LLM and chatbot workflows from malicious prompts and insecure AI responses. As AI becomes central to enterprise operations, controlling the context of conversations is a major challenge. Semantic guardrails provide a safety layer that ensures your AI stays on topic and never leaks sensitive PII.

When a critical vulnerability is exploited, the first 72 hours of a cyber incident can determine the outcome. In this scenario-driven webinar, Bitsight experts break down how security, GRC, and threat intelligence teams must work together—fast—to detect risk, prioritize action, and communicate clearly under pressure.

Cyber risk is evolving fast—and 2026 will demand more from security leaders than ever before. In this forward-looking webinar, Bitsight Co-Founder Stephen Boyer and SVP Vanessa Jankowski break down the biggest cyber threats shaping the year ahead, from AI-driven attacks and expanding attack surfaces to third-party and cloud risk.

Let's get tactical.

Most security failures start with access. When the wrong person gets the wrong permissions, risk follows. Netwrix Identity Management helps control access, enforce least privilege, and identify and remove excess permissions before they become a problem.

Compliance. Reporting. Risk visibility. These are no longer checkbox exercises in the boardroom. Today’s boards expect more than confirmation that regulations are being met. With evolving threats and AI-driven risk, they want regular, structured visibility into vulnerabilities, before gaps turn into incidents.

See the future of data loss prevention in action. This live demo showcases Nightfall's breakthrough session differentiation technology that intelligently blocks sensitive file uploads to personal cloud accounts while seamlessly allowing them in corporate environments.

On this episode of Masters of Data, we dive into our 2026 Intelligent Security Operations report. While 90% of 500+ security leaders see AI/ML cutting alert fatigue, actual implementation remains stuck at basic anomaly detection—not the full automation everyone wants. The gap is real: only 51% say their SIEM effectively reduces detection and response times, exposing serious maturity issues. Add rampant tool sprawl (most orgs run 3-10+ security tools that don't communicate), and you've got an integration nightmare. We explore how Model Control Protocol and AI agents could solve this, but here's the truth.