Introducing SAFE X: The Future of AI-Driven Cybersecurity for CISOs
Safe Security Launches SAFE X
New Delhi, October 3, 2024 – Safe Security (SAFE), a leader in AI-driven cyber risk management platforms, announced the launch of Safe X, a generative AI-powered mobile app for CISOs. Safe X delivers CISOs real-time business impact insights into their cybersecurity posture, enabling better decision-making and risk prioritization.
CISOs often invest millions of dollars in building their cyber stack, yet they lack critical business impact insights to prioritize and protect their organization effectively. Instead, they are bogged down by a patchwork of manual reports and outdated dashboards that need more business context and offer only piecemeal snapshots of their cybersecurity posture.
Core Features of SAFE X
- Equips CISOs with integrated data from all existing cybersecurity products
- Converts data into insights for proactive cybersecurity decisions
- Delivers instant answers on an organization's cyber risk posture
- Offers personalized risk mitigation recommendations
As cyber regulations tighten and threats from nation-states and cybercriminals continue to rise, having real-time insights and the ability to make fast, data-informed decisions to protect the business becomes more important than ever. A fundamental shift is needed in managing cyber risk. We must move away from manual, point-in-time dashboards and embrace automated, real-time insights powered by AI to manage and mitigate cyber threats effectively.
In today’s environment, where cyberattacks can directly impact business operations, leaders must ask 'So what?' in response to every cybersecurity insight or alert—focusing on the business impact.
- We don’t have patching: So what?
- We need to add a new tool: So what if we don’t?
- A peer got hacked: So what?
- And so much more!
This article was prepared using information from open sources in accordance with the principles of Ethical Policy. The editorial team is not responsible for absolute accuracy, as it relies on data from the sources referenced.