The SaaS platform that empowers you to make informed and defensible data-driven decisions about your organization’s cyber resilience and AI safety.
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A platform for cyber leaders that determines where your focus should be. Rely on defensible insights and data, not spreadsheets to make strategic and actionable decisions whilst tracking your progress. Have the ability to translate cyber resilience and AI safety in normalized ways for business teams.
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Promote data-led decision making by ensuring cyber resilience and AI safety reports are based on leading practice and real-time data.
ExploreGovern, manage, measure, and report on your cyber resilience and AI safety with CyberHQ®. A platform built to empower the right business-driven decisions for your organization, improve cyber resilience, AI safety, and level up your game.
Prioritize and justify organizational cyber strategy and spend by aligning activities and initiatives with outcomes
Enable data-driven decisions by ensuring reports are based on leading practice and real-time data
Continuously assess cyber and AI maturity and translate across different regulatory standards at the click of a button
Keep track of your cyber technology, people, and services to articulate the value that your security function delivers
Accurately quantify your cyber and AI risk based on vulnerabilities, threats, incidents, and other issues
Manage your technology supply chain third-party risk in an efficient, optimized, and cost-effective manner
“Avertro provides an accurate and holistic view of our cybersecurity posture. Every day I can log in and see where my team and I need to focus our efforts. It provides us with better reporting capabilities on risks and improvement opportunities that I can easily share with business executives.”
“Very cool and much needed for the security industry. Most importantly, you immediately elevate our executive and board reporting capabilities from 1 to 10.”
“What you've done is just remarkable. My favourite thing is that we can be sure that we will always get the same outputs and outcomes if we give the platform the same data, and there is currently no way to do that outside of CyberHQ.”
“We've manually done this and get different results each time, which is not defensible. With the platform, we're empowered with metrics we can stand behind as well as take forward to ensure we are properly managing our cyber risk and improving our capabilities over time.”
The advent of generative AI has been nothing short of a revolution, embedding itself deeply into the fabric of almost every industry. From healthcare innovations to financial services, generative AI has unlocked new potentials, made processes more efficient, and sometimes, even redefined the way businesses operate. However, as organizations embrace these advancements, they also grapple with significant challenges, particularly in managing cybersecurity risks and ensuring regulatory compliance. Herein lies the crucial role of AI governance—a framework not just for leveraging AI's capabilities but doing so securely and ethically. This is where Avertro, a pioneering solution provider, comes into play, offering robust tools and insights to navigate the complex landscape of AI governance.
In the rapidly evolving landscape of artificial intelligence (AI), the significance of AI governance has never been more pronounced. Following our exploration of AI governance's crucial role in cybersecurity, it's imperative to address how organizations can practically implement these governance frameworks. Effective AI governance ensures AI technologies are used ethically, securely, and efficiently, safeguarding data and aligning AI initiatives with organizational values. This blog aims to demystify the process of implementing AI governance, providing a roadmap for organizations ready to navigate this essential journey.
In the wake of generative AI's transformative impact across various sectors, the dialogue around AI governance has intensified. Building on the foundational understanding that AI governance, as Gartner outlines, ensures the responsible, ethical, and secure deployment of AI technologies, we delve deeper into its broader implications. The significance of AI governance transcends mere cybersecurity measures, embedding itself into the ethical fabric, legal integrity, innovation strategies, and trust mechanisms of organizations employing AI.
