Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Einstein called quantum entanglement "spooky action at a distance," but it’s actually a fundamental lesson in how particles share identical information. While classical bits are limited to 0 or 1, quantum bits (qubits) exist in a combination of both until the moment they are measured. Understanding these complex data states is essential as we move toward a future of quantum-resistant security and advanced AI. At Protegrity, we are dedicated to protecting your most sensitive data across every stage of the evolving digital landscape.

See how Protegrity AI Developer Edition helps protect sensitive data in AI agent workflows built with LangGraph. This demo shows how Protegrity can fit into modern AI development pipelines as both a preprocessor and postprocessor guardrail, helping teams discover, protect, tokenize, mask, and redact sensitive data before it reaches an LLM — and before responses leave the application. In this video, you’ll learn how developers can.

Are you struggling to extend data protection to modern web applications without the friction of custom SDKs? Zero-Trust architecture and AI governance are no longer optional—they are operational imperatives. The Protegrity Browser Protector is a Manifest V3 Chrome extension designed to solve the "last mile" of data security. It allows authorized users to protect, unprotect, and mask sensitive information (like SSNs, PII, and financial data) directly within any web browser—without modifying the underlying application code.

In this video, you will learn the five questions every data leak investigation must answer to be defensible — what the data is, where it originated, who accessed it, where it spread, and the fastest containment step — and why the visibility gap in most security stacks makes those questions impossible to answer instantly. You will also learn how combining DSPM baseline inventory with real-time data lineage replaces the high-stress scramble with surgical containment and audit-ready proof, so you move from "I think we're safe" to "here is the proof.".

Microsoft Defender for Endpoint ships with serious firepower. But most of it is sitting idle. ASR rules get stuck in audit mode. Devices never get fully onboarded. Exploit protection is switched off. Security baselines drifting across device groups. You're paying for protection that isn't turned on. Reach analyzes your Defender deployment, surfaces every gap, prioritizes the fixes by real risk reduced, and keeps your controls aligned as you scale.

Stop manual investigation and scale your security operations. In this demo video, discover how Seemplicity’s AI Analysts automate vulnerability triage by investigating exploitability directly within your remediation workflow. Manual triage doesn't scale for large organizations. Seemplicity delivers dedicated AI experts for code, dependency, and infrastructure/host vulnerabilities to move the needle for security professionals.

The Australian Essential Eight and the Information Security Manual (ISM) together define the cybersecurity baseline for organisations operating in Australia. While the ISM contains over 700 security controls, the Essential Eight distils the most critical of these into eight prioritised mitigation strategies and each strategy maps to multiple ISM controls underneath it. At the heart of both frameworks lies one recurring theme: restricting and governing privileged access and that's where privileged access management becomes your most powerful compliance lever.

AI is moving so fast that even security professionals feel they are staring over an event horizon without knowing what comes next. Public information alone is already unsettling, and the fear grows when you consider what is happening beyond open sources, from hidden capabilities to post quantum risk no one has fully mapped yet.

AI makes building look easy. That’s the trap. Without a secure, well-designed foundation, workflows break, costs spike, and systems grow fragile. CTOs and CISOs from leading organizations discuss what breaks without a secure foundation, and how to build AI systems that hold up at scale. This session goes deep on the real-world tradeoffs between speed, risk, and trust.

Every CISO is asking it: now that frontier models like Claude Mythos and ChatGPT 5.5 have real offensive cyber capability, are zero days surging? Host Tova Dvorin and SafeBreach offensive engineer Adrian Culley dig into the mid-2026 data—GTIG, Mandiant M-Trends, Rapid7, AISI—and find the curve moved in shape, not volume. Inside: the two AI "firsts" (Big Sleep and a 2FA-bypass exploit), why commercial spyware explains the rebound, the negative-seven-day time-to-exploit, and why defender deployment is the real bottleneck.