Unchecked agentic AI can lead to data leaks, financial fraud, and systemic instability if not properly governed. This report provides a framework for building resilient, secure, and compliant autonomous systems.
- Identify the four critical risk lenses: Privacy, Fraud, Safety, and Influence Operations.
- Learn to detect unusual agent behaviors and communication poisoning.
- Implement actionable mitigation strategies, from guardrails to continuous red teaming.
Overview
As AI transitions from simple chatbots to autonomous agents capable of independent reasoning and execution, the attack surface for enterprise organizations has expanded significantly. Unlike traditional Generative AI, agentic systems move beyond single-turn interactions to orchestrate tools, query external APIs, and coordinate with other agents. While this increases efficiency, it also introduces complex vulnerabilities like prompt injection, tool hijacking, and goal manipulation.
Our latest research, "Mitigating the Risks of Agentic AI," dives deep into the security challenges inherent in these autonomous workflows. We examine how bad actors exploit agentic vulnerabilities to trigger large-scale misinformation campaigns, market instability, and critical infrastructure failures. By exploring real-world failure points—such as credential leakage and rogue agent behavior—this report provides a proactive roadmap for developers and security leaders. Discover how to balance innovation with safety by deploying real-time guardrails and expert red-teaming methodologies to ensure your AI agents remains accountable and secure.
What’s new from Alice
LIVE from Black Hat Las Vegas: AI, Nation-States, and the Battlefield That Keeps Changing
What if the biggest threat to your security team isn't the attacker, it's the model you're relying on to stop them? LIVE from Black Hat Las Vegas, Mo and Madi bring together two cybersecurity authors, Caroline Wong, Chief Strategy Officer at Axari and author of The AI Cybersecurity Handbook, and Allie Mellen, Principal Analyst at Forrester and author of Code War, who wrote very different books that turn out to be arguing the same point. One explains why nations attack the way they do. The other explains why AI just changed the cost, speed, and scale of everything. Tune in!
It Takes AI to Break AI: The Case for AI Red Teaming
As AI systems gain autonomy, organizations need security approaches built specifically for AI behavior. Learn why AI-driven red teaming is becoming a critical defense layer.
5 Ways Your Third-Party CX Agent Gets Broken
Third-party CX agents create hidden liability. Learn the 5 attack patterns vendors miss and how WonderSuite closes the gap.
