By Danny Goedhart, 2 weeks ago By Gerton Van Den Bos, 2 weeks ago By Piotr Szczesny, 2 weeks ago By Andrew Dams, 2 weeks ago By Gunilla Karlsson, 2 weeks ago By Omar Akram, 2 weeks ago By Stephanie Ternert, 2 weeks ago By Joe Bazeley, 2 weeks ago By Barnaby Tomkins, 2 weeks ago By Conor Campbell, 2 weeks ago By Thijs Rozekrans, 2 weeks ago By Karsten Skuldbol, 2 weeks ago By Danny Kok, 2 weeks ago By Walter Mejia, 2 weeks ago By Jeffrey Bouwmeester, 2 weeks ago Post Title Forum
RE: After Mythos: AI-Driven Exploits & the Future of Exposure Management AI & ML
Healthcare environments don’t have much tolerance for delayed response, so this topic is especially relevant.
What AI-driven exploitation changes is not just risk level but the reaction window itself,…
RE: After Mythos: AI-Driven Exploits & the Future of Exposure Management AI & ML
Application security in PVH Corp environments is tightly linked to deployment speed and continuous release cycles.
Security is no longer a post-development checkpoint but part of the delivery flow its…
RE: After Mythos: AI-Driven Exploits & the Future of Exposure Management AI & ML
One thing that immediately stands out is how SOC workload is no longer just about volume but also speed of decision-making.
AI-driven attacks compress investigation timelines, which forces analysts to…
RE: After Mythos: AI-Driven Exploits & the Future of Exposure Management AI & ML
Governance and cyber resilience strategies are entering a very different phase as AI capabilities begin influencing both offensive and defensive operations.
For leadership teams, the challenge is no l…
RE: After Mythos: AI-Driven Exploits & the Future of Exposure Management AI & ML
Vulnerability tracking no longer provides the same buffer it used to in earlier security models.
Everything now feels more immediate, especially with automated exploitation increasing.
RE: After Mythos: AI-Driven Exploits & the Future of Exposure Management AI & ML
Industrial operations like chemicals and products at Shell introduce a different kind of security constraint.
Safety and operational continuity heavily influence how fast changes can be applied.
That …
RE: After Mythos: AI-Driven Exploits & the Future of Exposure Management AI & ML
Security strategy is shifting from reactive defense to anticipatory decision-making.
AI-driven threat acceleration is one of the key reasons behind this change.
Decision windows are shrinking across m…
RE: After Mythos: AI-Driven Exploits & the Future of Exposure Management AI & ML
Security resilience is slowly becoming an operational discipline rather than just a defensive function.
AI-driven exploitation compresses timelines in a way traditional models weren’t designed for.
Th…
RE: After Mythos: AI-Driven Exploits & the Future of Exposure Management AI & ML
Higher education security always sits in a tricky balance between openness and control.
That makes it harder to maintain consistent visibility across all systems and users.
What’s changing now is the …
RE: After Mythos: AI-Driven Exploits & the Future of Exposure Management AI & ML
Healthcare environments are probably one of the clearest examples of where traditional security timelines are starting to break down.
When systems are tied directly to patient care, even small delays …
RE: After Mythos: AI-Driven Exploits & the Future of Exposure Management AI & ML
This discussion reflects a very real pressure point at the leadership level right now.
The most difficult part is not understanding the threat — it’s restructuring decision-making around speed we have…
RE: After Mythos: AI-Driven Exploits & the Future of Exposure Management AI & ML
Retail monitoring systems generate massive telemetry streams every second.
The real difficulty is not collecting data but making sense of it fast enough.
Exposure-based prioritization helps reduce tha…
RE: After Mythos: AI-Driven Exploits & the Future of Exposure Management AI & ML
Threat monitoring teams in organizations like Orange Cyberdefense deal with constant alert flow that rarely slows down.
The real skill is separating meaningful signals from repetitive background activ…
RE: After Mythos: AI-Driven Exploits & the Future of Exposure Management AI & ML
Risk and security functions are gradually converging into a shared operational layer.
The separation between IT risk and cyber risk is becoming less clear over time.
Exposure-based frameworks are help…
RE: After Mythos: AI-Driven Exploits & the Future of Exposure Management AI & ML
Honestly, this webinar topic hits something we are already feeling in day-to-day operations.
The gap between vulnerability discovery and exploitation is not what it used to be… it’s shrinking faster t…