4 citations · 15 across the 19 of their papers we have counts for
19 papers
A Five-Plane Reference Architecture for Runtime Governance of Production AI Agents
Krti Tallam
Enterprise security was built to govern data boundaries: the protected surface was data at rest and in transit, and the controls -- access control, data-loss prevention, perimeter…
Consciousness as Uncommon Self-Knowledge: A Synergistic Information Framework
Krti Tallam
We propose uncommon self-knowledge (USK) as a candidate criterion for consciousness: synergistic information a system carries about itself that exists only in the joint of its subs…
Layered Mutability: Continuity and Governance in Persistent Self-Modifying Agents
Krti Tallam
Persistent language-model agents increasingly combine tool use, tiered memory, reflective prompting, and runtime adaptation. In such systems, behavior is shaped not only by current…
Execution Envelopes: A Shared Admission Contract for Backend AI Execution Requests
Krti Tallam
Enterprise AI backends increasingly admit heterogeneous execution requests across model deployment, inference, evaluation, data movement, and agentic workflows. In many systems, th…
The Khipu Problem: Institutional Legibility Under Distributed Cognition
Krti Tallam
AI governance still tends to assume that the relevant object is a bounded model or a bounded agent. That assumption is getting weaker. Real systems increasingly distribute cognitio…
Authorization Propagation in Multi-Agent AI Systems: Identity Governance as Infrastructure
Krti Tallam
The security discussion around agentic AI focuses heavily on prompt injection. This paper argues that multi-agent systems also create a distinct authorization problem: maintaining…
Partial Evidence Bench: Benchmarking Authorization-Limited Evidence in Agentic Systems
Krti Tallam
Enterprise agents increasingly operate inside scoped retrieval systems, delegated workflows, and policy-constrained evidence environments. In these settings, access control can be…
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…
Embedding Trust at Scale: Physics-Aware Neural Watermarking for Secure and Verifiable Data Pipelines
Krti Tallam
We present a robust neural watermarking framework for scientific data integrity, targeting high-dimensional fields common in climate modeling and fluid simulations. Using a convolu…
Removing Watermarks with Partial Regeneration using Semantic Information
Krti Tallam, John Kevin Cava, Caleb Geniesse +2
As AI-generated imagery becomes ubiquitous, invisible watermarks have emerged as a primary line of defense for copyright and provenance. The newest watermarking schemes embed seman…
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…
From Autonomous Agents to Integrated Systems, A New Paradigm: Orchestrated Distributed Intelligence
Krti Tallam
The rapid evolution of artificial intelligence (AI) has ushered in a new era of integrated systems that merge computational prowess with human decision-making. In this paper, we in…
Decoding the Black Box: Integrating Moral Imagination with Technical AI Governance
Krti Tallam
This paper examines the intricate interplay among AI safety, security, and governance by integrating technical systems engineering with principles of moral imagination and ethical…
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…
Alignment, Agency and Autonomy in Frontier AI: A Systems Engineering Perspective
Krti Tallam
As artificial intelligence scales, the concepts of alignment, agency, and autonomy have become central to AI safety, governance, and control. However, even in human contexts, these…
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.…
Novel Machine Learning Approach for Predicting Poverty using Temperature and Remote Sensing Data in Ethiopia
Om Shah, Krti Tallam
In many developing nations, a lack of poverty data prevents critical humanitarian organizations from responding to large-scale crises. Currently, socioeconomic surveys are the only…