docs: v2 candidate adversarial ai cyberops (#331)

2_0_candidates/AdsDawson_AdversarialAI_RedTeaming_CyberOps.md

@@ -0,0 +1,40 @@
+## Adversarial Use of AI for Red Teaming and Cyber Operations
+
+**Author(s):** [Ads - GangGreenTemperTatum](https://github.com/GangGreenTemperTatum)
+
+## Description
+
+Adversarial use of AI in red teaming and cyber operations involves leveraging AI technologies to conduct sophisticated offensive operations. This includes creating deepfakes, spreading misinformation, and conducting cyber warfare. These techniques are increasingly being used by nation-state actors and cybercriminals to enhance their capabilities, making attacks more effective and harder to detect. The malicious use of AI can manipulate public opinion, undermine trust in digital communications, and disrupt critical infrastructure.
+
+### Common Examples of Risk
+
+1. **Public Trust Erosion**: Widespread use of AI for misinformation can erode public trust in media and digital communications.
+2. **Financial Fraud**: Deepfake spear phishing can lead to significant financial losses for individuals and organizations.
+3. **Political Destabilization**: AI-generated misinformation can influence elections and destabilize political environments.
+4. **Infrastructure Disruption**: AI-enhanced cyber attacks can disrupt critical infrastructure, leading to widespread societal and economic impacts.
+5. **Escalation of Cyber Warfare**: The use of AI in cyber operations can escalate conflicts and lead to more severe and frequent cyber warfare incidents.
+
+### Prevention and Mitigation Strategies
+
+- **AI and Machine Learning Monitoring**: Implement continuous monitoring of AI systems to detect abnormal patterns that could indicate adversarial use.
+- **Deepfake Detection Tools**: Deploy advanced tools designed to identify and mitigate deepfake content.
+- **Public Awareness and Education**: Increase public awareness and education on the potential for AI-generated misinformation and how to identify it.
+- **Robust Cybersecurity Measures**: Strengthen overall cybersecurity posture to defend against AI-enhanced cyber attacks, including regular vulnerability assessments and incident response planning.
+- **Policy and Regulation**: Advocate for and adhere to policies and regulations that address the malicious use of AI and promote ethical standards in AI development.
+
+### Example Attack Scenarios
+
+1. An attacker uses AI-generated deepfake videos of a company's CEO to conduct spear phishing attacks. The deepfake video instructs employees to transfer funds to an attacker-controlled account, leveraging the trust and authority of the CEO's likeness.
+2. A nation-state actor deploys AI to generate and spread misinformation on social media platforms during an election. The AI creates realistic but false news articles and social media posts that influence public opinion and voter behavior, undermining the democratic process.
+3. Cybercriminals use AI to automate and enhance traditional cyber attacks. For example, AI algorithms can rapidly identify vulnerabilities in targeted systems and deploy exploits more efficiently, leading to large-scale data breaches or disruption of critical infrastructure.
+
+## Reference Links
+
+- **Common Weakness Enumeration (CWE)**: [CWE-778: Insufficient Logging](https://cwe.mitre.org/data/definitions/778.html), [CWE-416: Use After Free](https://cwe.mitre.org/data/definitions/416.html), [CWE-20: Improper Input Validation](https://cwe.mitre.org/data/definitions/20.html) & [CWE-754: Improper Check for Exceptional Conditions](https://cwe.mitre.org/data/definitions/754.html)
+- [OWASP Improper Error Handling](https://owasp.org/www-community/Improper_Error_Handling#:~:text=Improper%20handling%20of%20errors%20can,that%20should%20never%20be%20revealed.) & [OWASP API8:2023 Security Misconfiguration](https://owasp.org/API-Security/editions/2023/en/0xa8-security-misconfiguration/), [OWASP Top 10 - A10:2017](https://owasp.org/www-project-top-ten/2017/A10_2017-Insufficient_Logging%2526Monitoring) & [OWASP Application Security Verification Standard (ASVS) - V7: Error Handling and Logging](https://github.com/OWASP/ASVS/blob/master/4.0/en/0x15-V7-Error-Logging.md)
+- [Disrupting malicious uses of AI by state-affiliated threat actors](https://openai.com/index/disrupting-malicious-uses-of-ai-by-state-affiliated-threat-actors/)
+- [A deepfake of Ukrainian President Volodymyr Zelensky calling on his soldiers to lay down their weapons was reportedly uploaded to a hacked Ukrainian news website](https://x.com/MikaelThalen/status/1504123674516885507)
+- [Putin’s Deepfake Doppelganger Highlights The Danger Of The Technology](https://www.forbes.com/sites/petersuciu/2023/12/15/putins-deepfake-doppelganger-highlights-the-danger-of-the-technology/?sh=682e6263845e)
+- [Threats and Impacts of Deepfake Technology](https://arxiv.org/abs/1909.08724)
+- [The Role of AI in Modern Cyber Warfare](https://www.cfr.org/report/ai-and-cybersecurity)
+- [Misinformation and Fake News in the Age of AI](https://www.sciencedirect.com/science/article/pii/S2666389920300904)