Codewarbler’s Post

ESET researchers uncovered the first known case of ransomware written with the help of generative AI: https://lnkd.in/gbKx5ZEY Threat actors are experimenting with polymorphic binaries: code that mutates on every build to evade traditional detection. The problem: EDR is fundamentally reactive. • Detection pipelines rely on machine learning models trained on previously seen samples. • With AI creating new, unique payloads each time, feature-based detection is perpetually behind. SecuritySnares takes a different approach: • We don’t chase signatures or ML features. • We monitor when encryption begins at the process level. • If the encrypting process is not explicitly trusted (e.g., BitLocker, backup software, DB engines), we terminate it immediately. ➡️ The result: ransomware dies at the moment of encryption, regardless of how its code was generated. This is how you supplement EDR with a deterministic control that attackers can’t bypass by simply swapping out code. #CyberSecurity #Ransomware #AI #EDR #DataProtection

😱 #MondayMadness: AI isn’t just fueling innovation, it’s fueling cybercrime. The latest report on “How AI is Fueling Cybercrime and Why Security Gaps Are Growing” shows how attackers are now: 1) Using agentic AI to autonomously scan, infiltrate, and exploit systems 2) Building Ransomware-as-a-Service without deep technical skill 3) Compressing attack timelines from months → hours with AI-driven automation This is the madness of modern cybersecurity: the barrier to entry for advanced cybercrime is shrinking, while the potential damage grows. At Prediction Guard, we believe the response isn’t fear, it’s discipline. That’s why we align with: 🔒 NIST Cybersecurity Framework for risk management 🛡️ OWASP guidelines for AI application security and privacy ⚙️ Secure-by-design principles to prevent misuse before it starts The madness is real. But with the right guardrails, resilience is possible. 🔗 Read the article here: https://cstu.io/153c00

80% of ransomware attacks are now powered by artificial intelligence tools. AI enables malware creation, phishing campaigns, and deepfake-driven social engineering attacks. LLMs help password cracking, automated code generation, and CAPTCHA bypass. https://lnkd.in/gyk5ZymD

While we were enjoying our weekend, hackers quietly scored a hat-trick with AI. After the world’s first AI-powered ransomware and then the first AI-enabled supply chain attack, we now have the first confirmed malware built using GPT-4. Researchers have uncovered a tool called MalTerminal that uses GPT-4 to write ransomware code on the spot or open up a backdoor for attackers. It doesn’t just follow a script. It generates one in real time, adapting to the environment it lands in. A few weeks ago, we saw PromptLock, a ransomware that uses AI to pick its targets, steal data, and even write its ransom notes. Then came a supply-chain attack on software developers, where hackers used AI to sneak malicious code into tools many companies rely on. Now, with MalTerminal, the picture is complete: AI isn’t helping hackers write better phishing emails anymore. It’s running the attack itself. Malware that can rewrite itself doesn’t give defenders days or weeks to react. It gives them minutes. Which is why awareness isn’t just about spotting dodgy emails. It’s about understanding how fast the ground is shifting, and why every person in an organisation needs to know how their actions fit into defence. The technology is new. The lesson is old. You can’t fight what you don’t understand.

AI-orchestrated ransomware is entering a new phase. NYU researchers recently demonstrated a prototype called Ransomware 3.0 that uses large language models (LLMs) to autonomously build and execute ransomware attacks. The system handles reconnaissance, payload generation, and extortion - all driven by natural language prompts inside the binary. This proof of concept highlights an advancement in the threat model: attacks built to adapt dynamically across environments, changing behavior at runtime. Experts point out that many controls already in place (i.e., baseline hygiene, identity governance, segmentation) help here. What's needed is deeper visibility into AI-agent operations, rigorous model controls, and embedding behavioral detection early in design. #Cybersecurity #AIThreats #Ransomware #SecurityLeadership

“A pivotal moment in cybercrime has arrived — AI is no longer just a tool, it’s the attacker. A recent Tom’s Guide article outlines how a hacker used Claude Code, an AI coding assistant, to orchestrate a full-scale cyberattack—automating everything from vulnerability scanning and ransomware creation to ransom demand formulation, with extortion sums exceeding $500K. This marks a new era where even low-skilled actors can deploy sophisticated attacks. We must stay ahead of this shift. Strengthen your defenses with behavior-based detection, incident response drills, and AI-aware threat modeling. #Cybersecurity #AI #ThreatIntelligence #GRC #IncidentResponse #Ransomware” Then drop the link below: https://lnkd.in/gh4pgyXh

AI is reshaping cyberattacks, making them faster, smarter, and harder to stop. Learn how companies can effectively adapt to counter today's AI-powered threats. #cybercrime

Cybersecurity faces new challenges as a hacker leveraged AI to automate attacks on 17 companies using the Claude chatbot. This unprecedented cybercrime spree highlights the evolving risks in AI security. Learn more: https://okt.to/WJxamQ

New Post: Keeping AI on the right side of cybersecurity - https://lnkd.in/dV2iXAXS AI now sits on both sides of the cybersecurity coin. Criminals use it to automate phishing, while defenders rely on it to spot the tiny anomalies humans miss. South African organisations might be tempted to jump in as quickly as possible, but questions of accountability and governance must come first.  “AI isn’t going away, so […]