The Growing Ransomware Threat: Targets, Insights, and Strategies with Halcyon's Jon Miller | E1877
Jon Miller, CEO and Founder of halcyon joins Jason to discuss how ransomware attackers get away with it and stay anonymous (6:12), hacker markets, bounties, tools, and AI's role (16:20), proactive measures for startups to safeguard themselves (34:42), and more!
Key Points
- A recent hacking attempt on the Tampa water district aimed to poison the water, illustrating the vulnerability of critical infrastructure to cyberattacks.
- Ransomware attacks are becoming more sophisticated, with affiliate programs allowing individuals to partake in cybercrime using tools developed by larger groups often tied to intelligence agencies.
- The increasing sophistication of AI and machine learning models poses a dual-edged sword, enhancing both legitimate business efficiency and the capabilities of hackers, especially in widespread ransomware attacks.
LINKS: Global Ransomware Damages https://www.infosecurity-magazine.com/news/ransomware-exceed-30bn-dollars-2023/ https://therecord.media/dhs-ransomware-headed-for-second-profits
How Bitcoin Fuels Ransomware Attacks https://www.npr.org/2021/06/10/1004874311/how-bitcoin-has-fueled-ransomware-attacks
Massive MGM and Caesars Ransomware Attacks https://www.wired.com/story/mgm-ceasars-hack-ransomware/ https://www.msspalert.com/news/mgm-expects-100-million-hit-from-cyber-attack-stolen-personal-data
Password Cracking Techniques Used in Cyber Attacks https://www.proofpoint.com/us/blog/information-protection/password-cracking-techniques-used-in-cyber-attacks
Colonial Pipeline Ransomware Attack https://www.vox.com/recode/22428774/ransomeware-pipeline-colonial-darkside-gas-prices https://therecord.media/colonial-pipeline-attributes-ransomware-claims-to-unrelated-third-party-breach
Former Uber CISO and Cyber Attack https://www.cm-alliance.com/cybersecurity-blog/former-uber-ciso-convicted-what-how-why
Chapters
| 0:00 | |
| 2:52 | |
| 6:12 | |
| 8:27 | |
| 10:10 | |
| 11:31 | |
| 13:52 | |
| 16:20 | |
| 19:57 | |
| 21:55 | |
| 22:49 | |
| 29:26 | |
| 31:27 | |
| 32:35 | |
| 34:42 | |
| 37:08 | |
| 41:00 | |
| 43:41 | |
| 48:01 | |
| 50:36 |
Transcript
Loading transcript...



