Protect your AI applications and agents from attacks, fakes, unauthorized access, and malicious data inputs.
Control your GenAI applications and agents and assure their alignment with their business purpose.
Proactively test GenAI models, agents, and applications before attackers or users do
The only real-time multi-language multimodality technology to ensure your brand safety and alignment with your GenAI applications.
Ensure your app is compliant with changing regulations around the world across industries.
Proactively identify vulnerabilities through red teaming to produce safe, secure, and reliable models.
Detect and prevent malicious prompts, misuse, and data leaks to ensure your conversational AI remains safe, compliant, and trustworthy.
Protect critical AI-powered applications from adversarial attacks, unauthorized access, and model exploitation across environments.
Provide enterprise-wide AI security and governance, enabling teams to innovate safely while meeting internal risk standards.
Safeguard user-facing AI products by blocking harmful content, preserving brand reputation, and maintaining policy compliance.
Secure autonomous agents against malicious instructions, data exfiltration, and regulatory violations across industries.
Ensure hosted AI services are protected from emerging threats, maintaining secure, reliable, and trusted deployments.
September 17, 2025
1:00PM EST
AI systems are rapidly evolving – not just in capability, but in autonomy, agency, and interconnectivity. As these systems begin to reason, plan, and act with increasing independence, the associated risk landscape is shifting as well
In this exclusive executive briefing, Iftach Orr (CTO, ActiveFence) and Charith Peris (Senior Applied Scientist, Amazon AGI) will delve into the next generation of AI risks – focusing on vulnerabilities already surfacing in real systems and what it means for those designing and deploying foundation models.
A central theme: agentic AI. These systems go beyond passive generation. They take actions, invoke tools, collaborate with other agents, and operate in dynamic environments. These capabilities create new forms of emergent risk – but they also unlock new ways to improve safety, alignment, and control.
To illustrate, Charith will share Amazon’s recent work on using multi-agent deliberation to generate high-quality chain-of-thought (CoT) training data – showing how agentic systems can be used to enhance policy adherence, jailbreak robustness, and overall model safety.
CTO & Co-Founder, ActiveFence
Senior Applied Scientist, Amazon
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Explore the hidden dangers of agentic AI and discover actionable strategies to safeguard against unintended, unsafe, or manipulative autonomous behaviors.