4 citations · 15 across the 19 of their papers we have counts for
6 papers · 1 filter
Operationalizing CaMeL: Strengthening LLM Defenses for Enterprise Deployment
Krti Tallam, Emma Miller
CaMeL (Capabilities for Machine Learning) introduces a capability-based sandbox to mitigate prompt injection attacks in large language model (LLM) agents. While effective, CaMeL as…
Engineering Risk-Aware, Security-by-Design Frameworks for Assurance of Large-Scale Autonomous AI Models
Krti Tallam
As AI models scale to billions of parameters and operate with increasing autonomy, ensuring their safe, reliable operation demands engineering-grade security and assurance framewor…
Security-First AI: Foundations for Robust and Trustworthy Systems
Krti Tallam
The conversation around artificial intelligence (AI) often focuses on safety, transparency, accountability, alignment, and responsibility. However, AI security (i.e., the safeguard…
Transforming Cyber Defense: Harnessing Agentic and Frontier AI for Proactive, Ethical Threat Intelligence
Krti Tallam
In an era marked by unprecedented digital complexity, the cybersecurity landscape is evolving at a breakneck pace, challenging traditional defense paradigms. Advanced Persistent Th…
The Cyber Immune System: Harnessing Adversarial Forces for Security Resilience
Krti Tallam
Both parasites in biological systems and adversarial forces in cybersecurity are often perceived as threats: disruptive elements that must be eliminated. However, these entities pl…
CyberSentinel: An Emergent Threat Detection System for AI Security
Krti Tallam
The rapid advancement of artificial intelligence (AI) has significantly expanded the attack surface for AI-driven cybersecurity threats, necessitating adaptive defense strategies.…