The Cisco AI Readiness
Index is based on a double-blind survey of 8,161 business leaders with responsibility for AI integration and deployment at organizations with 500 or more employees based across 30 markets globally. The Index uses six pillars, each with an individual weightage, to benchmark AI readiness – Strategy (15%), Infrastructure (25%), Data (20%), Governance (15%), Talent (15%), and Culture (10%).
Within these pillars, levels of readiness are assessed using a combined total of 49 indicators to determine a readiness score for each pillar, as well as an overall readiness score for the respondent’s organization. The data was organized and categorized into a level of readiness, with respondents ranked in four groups –Pacesetters, Chasers, Followers, and Laggards. These groups and their corresponding scores are pictured left in descending order.
By infosecbulletin
/ Saturday , May 31 2025
The Qualys Threat Research Unit (TRU) found two local information-disclosure vulnerabilities in Apport and systemd-coredump. Both issues are race-condition vulnerabilities....
Read More
By infosecbulletin
/ Saturday , May 31 2025
New ransomware payment reporting rules take effect in Australia yesterday (May 30) for all organisations with an annual turnover of...
Read More
By infosecbulletin
/ Saturday , May 31 2025
Global makers of surveillance gear have clashed with Indian regulators in recent weeks over contentious new security rules that require...
Read More
By infosecbulletin
/ Thursday , May 29 2025
GreyNoise has discovered a campaign where attackers have gained unauthorized access to thousands of internet-exposed ASUS routers. This seems to...
Read More
By infosecbulletin
/ Wednesday , May 28 2025
The rise of online gambling in the country is leading to increased crime and societal issues. In response, the central...
Read More
By infosecbulletin
/ Wednesday , May 28 2025
Cybersecurity researchers recently revealed a coordinated cloud-based scanning attack that targeted 75 different exposure points earlier this month. On May...
Read More
By infosecbulletin
/ Monday , May 26 2025
Recent security research has shown that attackers can weaken zero-trust security frameworks by exploiting a key DNS vulnerability, disrupting automated...
Read More
By infosecbulletin
/ Saturday , May 24 2025
Evaly, a Bangladeshi e-commerce platform, is reportedly facing a major data breach that may have exposed sensitive information of around...
Read More
By infosecbulletin
/ Friday , May 23 2025
A passback vulnerability has been found in some Canon printers, including production and multifunction models. If an attacker gains administrative...
Read More
By infosecbulletin
/ Friday , May 23 2025
Security researchers have discovered a database with 184 million account credentials, highlighting the need to update compromised passwords, strengthen weak...
Read More

Based on this scoring system, 14% of respondents globally met the criteria for Pacesetters, with Chasers at 34%. Followers are the largest group at 48%, and Laggards the smallest group at 4%. Highlighting the vast divergence in levels of readiness, the average scores recorded for each group are Pacesetters – 93, Chasers – 72, Followers – 48, and Laggards – 24. The Cisco AI Readiness Index provides a comprehensive assessment tool for organizational leaders.
ALSO READ:
CSA Launches First Zero Trust Certification
When it comes to measurement, while an impressive 87% of respondents say their organization has a process in place to measure AI’s impact, only 41% have defined metrics for doing so. Similar numbers are seen with financial preparedness with 84% having a financial strategy to support AI deployment in place, but only 45% saying they have a long-term financial plan.
One of the key criteria under the Strategy pillar that differentiates the Pacesetters from the rest is a willingness to invest in AI. Only 27% of respondents say AI deployment has been given the highest priority for budget allocation and incremental budget funding, compared to other technological deployments. Based on the Index data, companies across the world have made strides when it comes to having an overall strategy, a clear understanding of what type of AI they want to adopt and deploy, and what outcomes they want to drive.
Yet the question remains, are they ready on other fronts that are critical to leverage the full potential of AI?
