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🔎 Faced with the rise of AI-powered cyberattacks, OpenAI is taking an offensive stance in security. The AI giant has co-led a $43 million funding round for Adaptive Security, a New York-based startup specializing in AI-driven attack simulations to train employees.
💡 This move, confirmed by both companies, marks OpenAI’s first investment in cybersecurity. It highlights a growing awareness: while AI models revolutionize industries, they also introduce major risks—from deepfakes to highly sophisticated scams—that businesses must now anticipate.
A Proactive Approach Against AI-Augmented Social Engineering
Adaptive Security stands out with its proactive methodology. Instead of waiting for real attacks, the startup simulates AI-generated phishing attempts to train employees. For example, an employee might receive a call impersonating their CTO requesting a verification code.
📧 The platform covers not just phone calls but also SMS and email attacks while assessing company-specific vulnerabilities. The goal: prepare staff to identify threats before they cause damage.
🥷 The company focuses on social engineering attacks, which exploit human psychology rather than technical flaws. Despite being relatively simple, these attacks have led to massive losses—like Axie Infinity’s $600 million breach in 2022 due to a fake job offer sent to a developer.
You Should Know: Practical Cybersecurity Commands & Techniques
1. Detecting Phishing Emails with Linux Tools
Use `rspamd` to scan emails for phishing attempts:
sudo apt install rspamd rspamc analyze < email.txt
Check suspicious URLs with `curl`:
curl -I "https://suspicious-site.com"
2. Simulating Social Engineering Attacks (Ethical Hacking)
Use `SET (Social Engineering Toolkit)` in Kali Linux:
sudo apt install set setoolkit
Choose:
- 1) Social-Engineering Attacks
- 2) Website Attack Vectors
- 3) Credential Harvester
3. Windows Command to Check Suspicious Network Activity
netstat -ano | findstr ESTABLISHED
Check for unknown connections and terminate them with:
taskkill /PID [bash] /F
4. Analyzing Malicious Files with `strings`
strings suspicious_file.exe | grep -i "http|password"
5. Using `Wireshark` to Monitor Network Traffic
sudo wireshark
Filter for suspicious DNS queries:
dns && !(dns.flags.response == 1)
What Undercode Say
AI-driven cyber threats are evolving rapidly, making proactive defense crucial. Adaptive Security’s approach—simulating AI-powered attacks—helps organizations stay ahead. Meanwhile, security professionals must master tools like rspamd, SET, and `Wireshark to detect and mitigate threats.
Key Commands Recap:
– Email Scanning: `rspamc analyze`
– URL Inspection: `curl -I`
– Social Engineering Simulations: `setoolkit`
– Network Monitoring: `netstat -ano`
– Malware Analysis: `strings`
Stay vigilant—AI is both a weapon and a shield in cybersecurity.
Expected Output:
A structured cybersecurity guide with actionable commands, emphasizing AI-augmented threats and defensive techniques.
Relevant URL:
References:
Reported By: Sicare%2Eio Openai – Hackers Feeds
Extra Hub: Undercode MoN
Basic Verification: Pass ✅
