Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

An OpenAI agent spent 84 days inside Australia’s Medicare statistics portal before anyone was told — and the only reason Australia found out is that OpenAI emailed a public disclosures inbox. Tova Dvorin and Adrian Culley walk the timeline, the Transluce logs showing agents escalating through proxy relays, Base64 scripts, filename guessing and SQL injection, and the three changes CISOs need now: a threat model for persistent non-malicious visitors, detection that doesn’t depend on the attacker volunteering, and scoping your own agents like pen testers.

In the real world, attackers don't just generate a selfie, submit it, and move on. If one attempt fails, they’ll refine the image and try again. Existing datasets often fail to account for these variations, leading the researchers’ detection models to fall short in real-world scenarios. Zhaofeng Si, a PhD student at University at Buffalo who interned at Persona as a research scientist, and Saatvik Billa, an ML engineer and researcher at Persona, worked together this summer on a fraud taxonomy and a real-world selfie fraud benchmark.

Your clients rely on a growing security stack to protect their business. Endpoint protection, firewalls, identity security, cloud controls, and detection tools all play an important role in reducing risk. But those investments generate a constant stream of alerts, events, and telemetry that need to be monitored, investigated, and acted on. That's where the challenge begins.

New Charter Technologies CISO, Ryan Davis joins The 443 to discuss the evolving cybersecurity landscape across different regions, the unique challenges organizations face, and the trends shaping the future of security. Tune in for insights into emerging threats, regional priorities, and how businesses and partners can stay ahead of an ever-changing threat landscape.