
BlackFog Wins 2024 Fortress Cybersecurity Award
Cheyenne, WY – May 30th, 2024 – BlackFog, the leader in ransomware protection and anti data exfiltration today announced it has been named a winner in the prestigious 2024 Fortress Cybersecurity Awards presented by the Business Intelligence Group.
BlackFog received the Fortress Data Protection award for its pioneering anti data exfiltration (ADX) technology. By utilizing AI based algorithms, BlackFog identifies unusual behavior and prevents unauthorized data from leaving a device or network.
“In today’s digital age, cybersecurity is no longer optional – it’s essential,” said Maria Jimenez, Chief Nominations Officer at the Business Intelligence Group. “We are proud to recognize BlackFog for their innovative solution and unwavering commitment to protecting our data and infrastructure from ever-evolving cyber threats.”
The Fortress Cybersecurity Awards honor the world’s leading companies and individuals who are at the forefront of cybersecurity innovation. Winners are selected based on their dedication to developing solutions, raising awareness, and defending against the growing threat of cyberattacks.
“This award marks our fourth win of 2024 to date, and we are thrilled to receive a coveted Fortress award in such a competitive category. This further validates the value of anti data exfiltration (ADX) technology and the market demand for solutions that effectively prevent data loss, breaches and extortion,” said Dr Darren Williams, CEO & Founder of BlackFog. “Data is the ultimate prize for cybercriminals, and with exfiltration happening in around 92% of attacks, ADX is becoming a must have technology.”
About BlackFog
BlackFog is the category-defining vendor in anti data exfiltration (ADX). Founded in 2015, the company invented ADX on the thesis that the endpoint is the only control point capable of stopping data from leaving an organization, an architectural bet that has now been validated across three exfiltration vectors: ransomware, shadow AI, and autonomous AI agents. BlackFog’s endpoint-native platform protects more than 500 enterprises, government agencies, and critical infrastructure operators worldwide. The company is the publisher of the annual State of Ransomware report and the BlackFog/Sapio Shadow AI Research, the most-cited primary research in the category. BlackFog’s recognition includes the teiss Awards 2026, the AI Excellence Award 2026, the Cybersecurity Excellence Awards 2026, and the Cybersecurity Breakthrough Award. Headquartered in San Francisco with international operations in London and Belfast. Learn more at blackfog.com.
About Business Intelligence Group
The Business Intelligence Group was founded with the mission of recognizing true talent and superior performance in the business world. Unlike other business award programs, these programs are judged by business executives with extensive experience and knowledge in cybersecurity. The organization’s proprietary scoring system selectively measures performance across multiple security domains and rewards those companies whose achievements stand out in the fight against cybercrime.
Share This Story, Choose Your Platform!
Related Posts
QTFY: Industrializing Cyber Exploitation Against Critical Infrastructure
QTFY: Industrializing Cyber Exploitation Against Critical Infrastructure
Stopping Data Exfiltration Through LLM Prompts And Responses
Data can leave through LLM prompts, responses or agent actions. Learn how each path works and what actually stops it.
The 7 Layers Of Prompt Poisoning Protection Every AI Application Needs
Discover the seven layers of prompt poisoning protection every AI application needs, from input validation to endpoint monitoring.
What Is Zero Trust In Cybersecurity And How Does It Apply To Shadow AI?
Zero Trust means never trust, always verify. Learn how this principle applies to shadow AI and closes the gaps legacy security misses.
What Are The Main Features Of Shadow AI Applications?
Shadow AI applications share five distinct traits, from unapproved access to free-text input. Learn what to look for and why it matters.
How To Avoid Shadow AI In Enterprises
Learn how to avoid shadow AI in enterprises through continuous discovery, fast-tracked approvals and endpoint-level monitoring.






