Artificial intelligence is reshaping how organizations innovate and scale. But the rapid evolution of AI also empowers attackers — and offensive AI is currently outpacing defensive AI. Organizations must rethink how they secure, govern, and deploy AI technologies.
This newsletter highlights key findings from the HackerOne report and provides actionable security guidance.
1. The New AI Threat Landscape
AI enables attackers to launch faster, smarter, and more scalable attacks.
Common AI‑Powered Threats
- AI‑generated malware
- Automated phishing at scale
- Deepfake‑enabled fraud
- Prompt injection & model manipulation
Since 2022, AI‑driven phishing attacks have increased by 1,265%.
2. AI Dramatically Expands Attack Surfaces
AI accelerates development but often without proper oversight.
Key Risks
- Rapid code generation = more bugs
- Sensitive training datasets become high‑value targets
- AI plugins, APIs & extensions introduce new vulnerabilities
- Emerging attack vectors such as prompt injection
AI is transforming the security landscape faster than traditional defenses can respond.
3. Regulatory Pressure Is Growing
Governments are moving quickly to regulate AI.
European Union – AI Act
- Mandatory adversarial testing
- Governance & transparency requirements
- Safety standards for high‑risk AI
Global Standards
- OWASP Top 10 for LLMs (2025)
- G7 AI Code of Conduct
- NIST AI Risk Management Framework
4. AI Safety vs. AI Security
AI Security
Protects the system from threats.
(e.g., data exfiltration, prompt injection)
AI Safety
Protects society from harmful AI behavior.
(e.g., dangerous content, ethical violations)
More than 55% of reported AI incidents relate to safety issues.
5. AI Red Teaming – The Most Effective Protection
Human‑led adversarial testing reveals weaknesses automation cannot detect.
Real‑world examples
- Anthropic: Universal jailbreak discovered
- Google Gemini: Personal email exfiltration via prompt injection
- Snap: Image‑safety red teaming with global researchers
Human creativity remains essential.
6. Recommendations for Organizations
- Adopt defense‑in‑depth across the AI lifecycle
- Combine automated scanning with human experts
- Implement AI governance & compliance frameworks
- Continuously monitor models and integrations
- Train staff on AI‑specific risks
- Leverage external researchers via bug bounties or red teaming
Conclusion
AI can deliver transformative value — but only when developed and deployed securely. Organizations that invest early in AI governance and red teaming will lead with resilience and trust.
