By Vamsi Gorugantula, 2 weeks ago By Luke Atherton, 2 weeks ago By Gavin Hill, 2 weeks ago By Sawan Joshi, 2 weeks ago By Michael Benson, 2 weeks ago By Roderik Lundberg, 2 weeks ago By Paul Andrews, 2 weeks ago By Steve Lukose, 2 weeks ago By Hannah Carpenter, 2 weeks ago By Tobias Johansson, 2 weeks ago By Paul Coulter, 2 weeks ago By Gazal Saxena, 2 weeks ago By Aaron Munoz, 2 weeks ago By Ingvild Kalleberg, 2 weeks ago By Arthur Barnes, 2 weeks ago Post Title Forum
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RE: After Mythos: AI-Driven Exploits & the Future of Exposure Management AI & ML
Higher education environments are interesting because they constantly balance openness with control, and that balance directly impacts security visibility.
With so many distributed departments and ind…
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RE: After Mythos: AI-Driven Exploits & the Future of Exposure Management AI & ML
Enterprise threat management programs are already struggling with alert volume and remediation prioritization across large environments.
If exploit development timelines continue shrinking because of …
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RE: After Mythos: AI-Driven Exploits & the Future of Exposure Management AI & ML
Financial cyber defense is heavily dependent on timing and precision.
Even small delays in response can significantly increase exposure impact.
That’s why prioritization is becoming more important tha…
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RE: After Mythos: AI-Driven Exploits & the Future of Exposure Management AI & ML
Cloud environments move too fast for traditional security models to keep up effectively.
Infrastructure changes constantly, which means exposure is always shifting.
Embedding security into architectur…
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RE: After Mythos: AI-Driven Exploits & the Future of Exposure Management AI & ML
Senior security analysts in governance-heavy environments like SCC sit between policy expectations and real operational constraints.
That creates a constant tension between compliance requirements and…
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RE: After Mythos: AI-Driven Exploits & the Future of Exposure Management AI & ML
This is a clear signal that infrastructure security models are shifting underneath us.
The traditional vulnerability lifecycle no longer aligns with how quickly exploitation is happening in real envir…
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RE: After Mythos: AI-Driven Exploits & the Future of Exposure Management AI & ML
Healthcare leadership at Valley Health System operates under dual pressure from clinical continuity and cyber resilience requirements.
That makes exposure decisions highly sensitive and time-dependent…
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RE: After Mythos: AI-Driven Exploits & the Future of Exposure Management AI & ML
Monitoring-focused roles at Swift often deal with continuous alert streams across financial infrastructure.
The challenge is separating meaningful threat signals from routine background activity.
Over…
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RE: After Mythos: AI-Driven Exploits & the Future of Exposure Management AI & ML
In healthcare, even minor delays in response can escalate into operational issues quickly.
The speed of exploitation today makes continuous visibility more important than periodic assessments.
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RE: After Mythos: AI-Driven Exploits & the Future of Exposure Management AI & ML
Financial sector environments are already dealing with very tight remediation expectations, and AI-driven exploit automation is only going to accelerate that pressure further.
One challenge we continu…
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RE: After Mythos: AI-Driven Exploits & the Future of Exposure Management AI & ML
Governance models are slowly adapting to faster threat cycles driven by automation.
Traditional review processes struggle to keep up with that speed.
Exposure tracking is moving toward a continuous mo…
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RE: After Mythos: AI-Driven Exploits & the Future of Exposure Management AI & ML
What stands out in this discussion is how quickly operational assumptions are becoming outdated in service delivery environments.
We still plan patch cycles in structured windows, but in reality explo…
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RE: After Mythos: AI-Driven Exploits & the Future of Exposure Management AI & ML
Enterprise security leadership at Tietoevry is heavily influenced by rapid infrastructure change across distributed systems.
That makes traditional periodic risk assessment models less reliable over t…
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RE: After Mythos: AI-Driven Exploits & the Future of Exposure Management AI & ML
In SOC work, it’s less about how many alerts we get now and more about what actually matters in that moment.
That prioritization problem is getting harder honestly.
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RE: After Mythos: AI-Driven Exploits & the Future of Exposure Management AI & ML
Energy sector environments like PBF Energy don’t get much flexibility when it comes to response timing.
Operational continuity usually takes priority even during active threat conditions.
That makes e…
