Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

TITAN AI Demo Series: Security Events in TITAN Secure - From Fragmented Threat Data to One Live Feed

Threat data lives everywhere: news outlets, hacker forums, breach reports. Correlating all of it to your vendor ecosystem by hand costs precious response time. SecurityScorecard's new Security Events feature inside TITAN Secure automates that mapping. It turns fragmented signals into a live feed showing exactly who's affected, what happened, and when. Event tags separate confirmed compromises from unverified hacker chatter Status badges show whether an event is active or still under investigation Impact summaries surface how many vendors are confirmed or potentially affected.

80% of New Code is AI-Generated - But 40-50% Has Vulnerabilities Find out Why

Is your organization generating up to 80% of its new code with AI? You might be proud of the speed — but are you ready for the security risks? In this video, we reveal the hidden danger: multiple studies show that **40-50% of AI-generated code changes contain vulnerabilities**. Discover why AI coding is accelerating development faster than ever — and why traditional security approaches are no longer enough.

What Evidence Will Regulators Expect Under NIS2?

Being NIS2-ready is not just about implementing cybersecurity controls—you should also be prepared to demonstrate that appropriate cybersecurity risk-management measures are actually in place. In this video, we cover some of the key documentation and evidence organizations may need to maintain, including: Security policies and cybersecurity governance documentation Cybersecurity risk assessments and risk-management processes Incident response procedures Business continuity and crisis management plans Supply chain security practices Employee cybersecurity awareness and training activities.

Why deepfakes are scared of mobile devices

Voice cloning is fooling grandparents into wiring money to "grandchildren." Vendor impersonation is rerouting accounts payable. And fraud rings are using AI to change their accents mid-scam when their first attempt raises suspicion. In this webinar, PJ Rohul (co-founder, About Fraud) talks with Laurel Sykes (chief risk officer, American Riviera Bank) and Brandon Chen (product marketing manager, Persona) about why mobile device-based verifications are becoming fraud teams' strongest defense against sophisticated attacks.

The Real Reason Hackers Target Active Directory First

Active Directory controls access to nearly every application, file, and system in your network. That's exactly why it's the first thing attackers go after. Get privileged access to AD, and an attacker doesn't need to break into ten different systems. They just need one path in, and from there they can move freely, escalate privileges, and sit undetected for weeks. AI is making this worse. Faster reconnaissance, sharper phishing, quicker lateral movement, all pointed straight at identity infrastructure.