The safety panorama is present process one more main shift, and nowhere was this extra evident than at Black Hat USA 2025. As synthetic intelligence (particularly the agentic selection) turns into deeply embedded in enterprise techniques, it’s creating each safety challenges and alternatives. Right here’s what safety professionals must learn about this quickly evolving panorama.
AI techniques—and notably the AI assistants which have change into integral to enterprise workflows—are rising as prime targets for attackers. In one of the attention-grabbing and scariest displays, Michael Bargury of Zenity demonstrated beforehand unknown “0click” exploit strategies affecting main AI platforms together with ChatGPT, Gemini, and Microsoft Copilot. These findings underscore how AI assistants, regardless of their sturdy safety measures, can change into vectors for system compromise.
AI safety presents a paradox: As organizations broaden AI capabilities to boost productiveness, they need to essentially enhance these instruments’ entry to delicate knowledge and techniques. This growth creates new assault surfaces and extra complicated provide chains to defend. NVIDIA’s AI pink crew highlighted this vulnerability, revealing how giant language fashions (LLMs) are uniquely inclined to malicious inputs, and demonstrated a number of novel exploit methods that make the most of these inherent weaknesses.
Nonetheless, it’s not all new territory. Many conventional safety rules stay related and are, actually, extra essential than ever. Nathan Hamiel and Nils Amiet of Kudelski Safety confirmed how AI-powered improvement instruments are inadvertently reintroducing well-known vulnerabilities into fashionable functions. Their findings counsel that fundamental software safety practices stay elementary to AI safety.
Trying ahead, risk modeling turns into more and more essential but additionally extra complicated. The safety group is responding with new frameworks designed particularly for AI techniques equivalent to MAESTRO and NIST’s AI Danger Administration Framework. The OWASP Agentic Safety High 10 challenge, launched throughout this yr’s convention, offers a structured method to understanding and addressing AI-specific safety dangers.
For safety professionals, the trail ahead requires a balanced method: sustaining robust fundamentals whereas creating new experience in AI-specific safety challenges. Organizations should reassess their safety posture by way of this new lens, contemplating each conventional vulnerabilities and rising AI-specific threats.
The discussions at Black Hat USA 2025 made it clear that whereas AI presents new safety challenges, it additionally presents alternatives for innovation in protection methods. Mikko Hypponen’s opening keynote offered a historic perspective on the final 30 years of cybersecurity developments and concluded that safety isn’t solely higher than it’s ever been however poised to leverage a head begin in AI utilization. Black Hat has a approach of underscoring the explanations for concern, however taken as a complete, this yr’s displays present us that there are additionally many causes to be optimistic. Particular person success will depend upon how effectively safety groups can adapt their current practices whereas embracing new approaches particularly designed for AI techniques.
