AI Security Insights from HackerOne’s 8th Annual Security Report

The 8th Annual Hacker-Powered Security Reports highlight key trends and findings in AI security based on data from over 2,000 security researchers and 500 security leaders globally.

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1️⃣ AI Vulnerability Trends:

Training Data Leaks (35%), Unauthorized AI Usage (33%), Model Hacking (32%), Prompt Injection Attacks, and Sensitive Information Disclosure​.

2️⃣ AI Red Teaming:

- 67% of security leaders emphasized the importance of external AI red teaming to uncover vulnerabilities​.

- Exercises focus on bias exploitation, data poisoning resilience, and model drift detection​.

- Continuous AI-focused adversarial testing is essential as traditional methods often miss AI-specific risks.

- Researchers increasingly use AI-powered scanners to automate weak point detection during red team exercises​.

3️⃣ AI in Bug Bounty Programs:

- AI assets included in security testing programs grew by 171% in the past year​.

- Higher payouts incentivize research into model vulnerabilities, data pipeline security, and system flaws​.

- Tools like HackerOne’s Hai Copilot are used to optimize triage processes, generate accurate CVSS scores, and improve communication within security teams​.

4️⃣ AI Tools in Security Research:

- 20% of security researchers now integrate AI tools into their workflows, leveraging them for automating repetitive tasks, summarizing complex documentation efficiently, and generating custom wordlists​.

- Researchers such as @hacktus and @a_d_a_m report that AI tools have significantly reduced the time spent writing and submitting vulnerability reports — from an average of 30–40 minutes per report down to just 7–10 minutes​.

- This optimization allows researchers to focus more on identifying and analyzing complex vulnerabilities rather than administrative tasks.

5️⃣ Recommendations for AI Security Programs:

- Implement structured input validation for AI systems.
- Conduct regular AI-specific red teaming exercises.
- Align bug bounty payouts with the complexity of AI vulnerabilities.
- Develop AI-specific threat models to preempt emerging risks​.
- Leverage AI-powered tools for scanning, summarizing, and reporting workflows.

📖 Read More:’8th Annual Hacker-Powered Security Report (Advanced Technologies Edition, 2024/2025)’ by HackerOne. https://www.hackerone.com/resources/reporting/8th-hacker-powered-security-report-advanced-technologies

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