#Jeff Crume

IBM Expert: Quantum Computing Threat to Crypto is Real

IBM Distinguished Engineer Jeff Crume warns that quantum computers will break current encryption by 2030-2035, urging immediate migration to quantum-resistant cryptography.

Jeff Crume on IBM's Quantum-Safe Crypto

IBM Distinguished Engineer Jeff Crume discusses the urgent need for quantum-safe cryptography and how lattice-based algorithms are key to securing data against future quantum computers.

IBM's Jeff Crume on AI Tech Debt

Jeff Crume of IBM explains how AI systems can accrue technical debt, the risks involved, and how to mitigate it through strategic planning and discipline.

Jeff Crume on Dark Web Risks and Data Security

IBM Distinguished Engineer Jeff Crume discusses dark web risks, the value of personal data on the black market, and essential security measures like MFA and passkeys.

IBM Expert Details Top 10 Agent Security Risks

IBM Distinguished Engineer Jeff Crume breaks down the OWASP Top 10 vulnerabilities for AI agents, including goal hijacking, tool misuse, and rogue agent behavior.

OWASP Top 10 LLM Risks Explained

Jeff Crume from IBM breaks down the OWASP Top 10 for LLM Applications, highlighting critical security risks like prompt injection and data leakage.

AI Agents Are the Ultimate Insider Threat The New Security Frontier

Dissecting AI Agents: IBM's Crume on Sensing, Thinking, and Acting

AI's March: Solved Limits, Enduring Challenges, and Human Purpose

AI's Dual Edge: The Cybersecurity Arms Race Intensifies

AI's Double-Edged Sword: Mastering Governance and Security for Trustworthy Systems

IBM Experts Unpack AI's Evolution and Cybersecurity's Enduring Challenges

Unmasking AI Vulnerabilities: The Imperative of LLM Penetration Testing

AI Agents Transform Cybersecurity: A New Era of Defense

Building Trustworthy AI: The NIST Framework for Risk Management

AI's Dual Impact on Data Breach Costs: Insights from IBM's 2025 Report

The AI Paradox: Malware's New Frontier

Grounding AI: IBM Experts on Mitigating Hallucinations

Learn how RAG, Chain of Thought, and model selection can create more reliable and trustworthy AI.

Safeguarding Generative AI: IBM's Defense-in-Depth Approach to LLM Security

IBM's proposed solution introduces a "policy enforcement point" (PEP), acting as a proxy between the user and the LLM, and a "policy decision point" (PDP) or policy engine.