Agentic AI, the Balbix acquisition, 12 Days of AI Risk Management and more themes that captured your interest
It was a high velocity ride at SAFE last year and we were glad to see that so many customers and the curious came along on the journey with us through the medium of the SAFE blog. We brought you leading-edge insights into AI for cyber risk management, pricing the cost of major breaches, staying out in front of new threat actors, the path forward for quantitative risk analysis – and news about SAFE’s efforts to better serve our community.
Here are the 10 blog posts we published in 2025 that attracted the most page views during the year. Also, for context see this wrap-up post published at the end of the year: 2025 in Retrospect: SAFE Steers the Industry Towards Autonomous Cyber Risk Management

SAFE CEO Saket Modi
1. AGI’s Wild Future Needs a Tamer. Meet CyberAGI
By far the best-read blog post published in the year. SAFE Co-Founder and CEO Saket Modi committed to a bold vision to develop CyberAGI or “cybersecurity super intelligence” that will “predict and remediate hacks before they occur – even the kinds that the world has never seen – the zero days… We are already “quietly laying the foundation, one building block at a time: CRQ, CTEM, TPRM, and more on the horizon.”
2. What Is Agentic AI in Cybersecurity
In 2025, SAFE launched the industry’s first fully autonomous TPRM platform, powered by 25+ specialized AI agents, piqueing the interest of blog post readers in the topic of agentic AI, particularly to solve the overwhelming problems of third party risk management.

3. FAIR-MAM Analysis: Jaguar Land Rover Attack Costs Could Surpass $1.5 Billion
SAFE and the FAIR Institute developed FAIR-MAM, an open, financial-loss model based on Factor Analysis of Information Risk (FAIR), as a tool for businesses to quickly and reliably quantify the impact of cyber incidents. We use the model on our SAFE One cyber risk management platform — along with the most comprehensive set of industry standard loss data — to run proactive loss magnitude assessments for our clients. We also use FAIR-MAM post-incident analysis to quantify major cyber events in the news, such as the attack on Jaguar Land Rover that shut down vehicle production in 2025.
4. SAFE Named a Leader in the 2025 CRQ Wave By an Independent Research Firm (Forrester)
It was a year of validation of SAFE’s leading position in cyber risk management. Besides the Forrester honor…
SAFE Named a Leader by Liminal for Third-Party Risk Management
5. Scattered Spider Expands Its Web: Rising Threat Activity Across the U.S.
Our Threat Research Team showed off its depth of knowledge in this post and many others in 2025. As we wrote, “SAFE helps organizations move from reactive detection to threat-driven risk prioritization.” The SAFE One Threat Center uses live intelligence and the context of the organization’s security controls to quantify the risk posed by active adversaries like Scattered Spider.

6. SAFE Raises $70 Million Series C with Ambitious Plans for “CyberAGI”
SAFE quickly put the funds to good use with a strategic acquisition (see #7).

SAFE CEO, Co-Founder Saket Modi and Balbix CEO, Founder Gaurav Banga
7. SAFE Acquires Balbix and SAFE/Balbix Acquisition Fact Sheet
High readership for these two posts announcing the merger to create “the ultimate AI-native platform for unified cyber risk and exposure management.” Each is a category leader with strengths that complement the other, Balbix in CTEM, SAFE in CRQ.
8. Uncover Vendor Risk Assessment with SAFE (2025 Guide)
This basic explainer told curious blog readers everything they needed to know to get started with TPRM.
9. SAFE CEO Saket Modi on 3 Key Learnings on CRQ
Saket delivered a message to an audience of risk managers and business leaders at the 2025 FAIR Conference that was a mix of busting through the status quo and visioning a clear path forward to a better way in cyber risk management.

10. Twelve Days of AI Risk Management
This series of three posts offered 12 fresh insights into the key cyber risk of 2026, artificial intelligence, from #1 “The AI Risk Triad – Bias, Black Box, Boardroom” to #12 “A 90-Day AI Risk Foundation Plan.”
Days 1-4 of AI Risk Management
Days 5-8 of AI Risk Management
Days 9-12 of AI Risk Management
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