AI-driven Cyber Threats Change Security Conversation

Anthropic’s decision to limit access to its new Claude Mythos model is a major wake-up call for the industry. Because this model can independently find and combine software flaws to launch sophisticated cyberattacks, traditional safety measures are no longer enough. This situation shows exactly why we need strict, proactive security rules before powerful AI is released to the public. For those of us in risk management, it is time to move beyond checking for simple errors and start preparing for how to defend against much smarter, automated threats. #AIGovernance #CyberSecurity #ResponsibleAI #RiskManagement https://lnkd.in/gkESVDQr

I am pleased to share that I was able to solve the TryHackMe Summit Room lab dealing with malware detection and incident response through understanding the Pyramid of Pain principles. In this exercise, I dealt with several different malware scenarios and progressively increased adversary operational costs with layered defenses as follows: • Sample 1 – Malware detected via SHA256 hash indicators and executed using hash-based firewall control. • Sample 2 – Malicious outbound communications detected and attacker IP addresses blocked using firewall controls. • Sample 3 – Malware with an infrastructure hosted within a single cloud provider/domain blocked using DNS and firewall control. • Sample 4 – Defense evasion techniques used by malware such as disabling Windows defender by registry manipulation. Sigma detections were created to detect and contain the attacks. • Sample 5 – Periodic communication (beaconing/malware pivoting) by malware in terms of recurring encrypted traffic with defined intervals. Recurring encrypted malicious traffic was detected and blocked by firewall. • Final Step – Exfiltration of staged data by malware in terms of targeted temporary log files. Sigma rule was created for this attack vector. A major takeaway from this lab was learning how defenders can chase attackers up the Pyramid of Pain moving beyond simple indicators like hashes and forcing adversaries to continually adapt their tooling, infrastructure, and techniques. #CyberSecurity #SOC #ThreatHunting #BlueTeam #DetectionEngineering #TryHackMe #MITREATTACK #PyramidOfPain #SigmaRules #MalwareAnalysis #IncidentResponse

Sharing some important articles I find in my reading on this front. Also, we are hosting a panel discussion to help cisos with preparedness in the AI Mythos era. My previous post has more details

99.4% of CISOs reported a SaaS or AI ecosystem security incident in 2025. Thank you Ronald Gula and Gula Tech Adventures for the shout out regarding the Trinity Cyber platform as a product worth knowing to defend against SaaS and AI breaches 🙌

April 2025: JPMorgan Chase's CISO Pat Opet warned the industry that SaaS was quietly enabling cyber attackers. April 2026: Anthropic's Mythos — the model they called "too dangerous to release" — leaked through a fourth-party vendor named Delve. It wasn't an AI breach. It was SaaS supply chain 101 in an AI costume. The letter was very predicitve. https://lnkd.in/ee9vsb3c

🎙️ New Podcast from Club Asymmetric Can EVMs really be hacked — or are they one of the most misunderstood systems in cybersecurity? In this episode, VIJAYA RAMANUJAM N discusses the technology, security architecture, and trust mechanisms behind Electronic Voting Machines (EVMs). The conversation explores how embedded systems, hardware-level security, and cybersecurity principles work together in critical public systems. Topics covered: • EVM architecture and internal functioning • Security mechanisms used in voting systems • Common misconceptions around EVM hacking • The importance of hardware security in cybersecurity • Insights into embedded systems and secure device design This podcast is ideal for students, cybersecurity enthusiasts, and anyone interested in understanding how real-world secure systems are designed and protected. 🎧 Spotify: https://lnkd.in/g88GEiS9 What matters more in secure systems — strong software or trusted hardware?

🔐 Claude Security is now in Public Beta — and it's rewriting how enterprises handle code vulnerabilities. Most security scanners drown your team in alerts. Claude Security doesn't just scan — it thinks. Here's the 3-step loop Claude Security runs: 🔍 Scans your entire codebase for vulnerabilities — not just surface-level pattern matching ✅ Validates each finding to cut false positives before they waste your team's time 🛠️ Suggests patches you can review and approve — you stay in control This is now live for Claude Enterprise customers in public beta. The shift is clear: AI isn't just writing code anymore. It's auditing, validating, and patching it too. Security teams that still rely on static scanners alone are going to feel this gap fast. https://lnkd.in/gp2BjWmg 👉 Are you integrating AI into your security workflow yet? Drop your thoughts below. 👇 #ClaudeSecurity #AIEngineering #CyberSecurity #Anthropic #DevSecOps #LLMs #EnterpriseAI #CodeSecurity

The Pyramid of Pain is still one of the most practical frameworks in threat intelligence. Our team at Cybertorch breaks down how we operationalize it — from automated IOC handling to behavioral pattern analysis.

🔈ICYMI: During their runZero Day session, HD Moore (runZero), Jonathan Cran (Mallory), and host Tod Beardsley (runZero) explored how AI-powered threat intelligence is providing defenders with a much-needed advantage in an increasingly noisy security landscape. 👉 Check out the clip & then watch the full episode to learn more about this timely topic! 🎥 runZero Day session—The infinite eye: How AI threat intelligence gives defenders an asymmetric edge https://lnkd.in/gr854YkV

🐛 Can we actually reach zero bugs in software? The creator of curl measured it with real vulnerability data — and the answer might surprise you. 👉 https://lnkd.in/dHX3-wwz #OpenSource #curl #SoftwareEngineering #BugFix #AI #DevTools #CyberSecurity