By Serdar Tas, 2 weeks ago By Sanjeet Sharma, 2 weeks ago By Miles Hutchinson, 2 weeks ago By Matthew Cranston, 2 weeks ago By Emil Ahmed, 2 weeks ago By Mario Smith, 2 weeks ago By Manuel Gonzalez, 2 weeks ago By Rudy Vis, 2 weeks ago By Helen Marsden, 2 weeks ago By James Mackay, 2 weeks ago By Thomas Powell, 2 weeks ago By Seun Ikubukuola, 2 weeks ago By Ivo Van Heeren, 2 weeks ago By Boudewijn Bos, 2 weeks ago By Dan Smith, 2 weeks ago Post Title Forum
RE: After Mythos: AI-Driven Exploits & the Future of Exposure Management AI & ML
In fintech, the overlap between fraud systems and cybersecurity is becoming more visible due to automation on both sides.
AI-driven threats compress response time not just for vulnerabilities but also…
RE: After Mythos: AI-Driven Exploits & the Future of Exposure Management AI & ML
Architecture decisions are increasingly being made with the assumption that exploitation can happen very quickly after disclosure.
This changes how we think about resilience, especially in distributed…
RE: After Mythos: AI-Driven Exploits & the Future of Exposure Management AI & ML
Industrial environments introduce a different kind of constraint in security operations.
Downtime and safety considerations limit how quickly changes can be applied.
That makes exposure management acr…
RE: After Mythos: AI-Driven Exploits & the Future of Exposure Management AI & ML
From an application security perspective, the discussion becomes much larger than patching alone.
As AI-assisted exploitation evolves, secure design practices, dependency visibility, and infrastructur…
RE: After Mythos: AI-Driven Exploits & the Future of Exposure Management AI & ML
Monitoring tools already generate a lot of noise, and faster exploitation just makes prioritization harder.
What matters more now is understanding actual exposure rather than reacting to every alert.
RE: After Mythos: AI-Driven Exploits & the Future of Exposure Management AI & ML
Security operations teams are already seeing how quickly threat activity can evolve once a vulnerability becomes publicly discussed.
What’s concerning now is the possibility of AI reducing the gap bet…
RE: After Mythos: AI-Driven Exploits & the Future of Exposure Management AI & ML
Energy sector security work tends to feel less like traditional cybersecurity and more like trying to manage visibility across constantly shifting operational environments.
Systems are rarely static, …
RE: After Mythos: AI-Driven Exploits & the Future of Exposure Management AI & ML
Senior cyber analysts at Swift working on resilience are usually focused on systemic risk rather than isolated incidents.
What matters most is understanding exposure across interconnected financial sy…
RE: After Mythos: AI-Driven Exploits & the Future of Exposure Management AI & ML
In many hospital security setups, the challenge isn’t just technical anymore — it’s operational coordination across multiple layers of care systems.
Security decisions are increasingly happening along…
RE: After Mythos: AI-Driven Exploits & the Future of Exposure Management AI & ML
Large distributed infrastructure environments operate under a completely different kind of security pressure compared to centralized systems.
Once you move into global-scale operations, even small vis…
RE: After Mythos: AI-Driven Exploits & the Future of Exposure Management AI & ML
In healthcare leadership, security is no longer just an IT function sitting in isolation.
It’s increasingly tied to patient safety and operational continuity decisions.
That shift changes how risk is …
RE: After Mythos: AI-Driven Exploits & the Future of Exposure Management AI & ML
From a data protection standpoint, the shrinking window between vulnerability discovery and exploitation is a major concern.
It increases the likelihood that sensitive data exposure can occur before m…
RE: After Mythos: AI-Driven Exploits & the Future of Exposure Management AI & ML
Retail security operations are often overwhelmed with constant alerts and system noise.
The real challenge is not detection anymore but figuring out what actually matters in real time.
Exposure-based …
RE: After Mythos: AI-Driven Exploits & the Future of Exposure Management AI & ML
What I’ve seen in retail environments, patch cycles are still very “scheduled” in nature, but real-world exposure doesn’t follow that rhythm anymore.
We’re kind of playing catch-up most of the time no…
RE: After Mythos: AI-Driven Exploits & the Future of Exposure Management AI & ML
SAP security roles in enterprises like PVH often deal with hidden risk inside role design and authorization structures.
These issues usually stay invisible until they impact business processes directl…