Why Accuracy Isn't Enough: A New Quality Model for Real-World ML Components
AI components, whether traditional machine learning or generative AI, are embedded in many present-day systems. However, despite advances in...
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Software Engineering Institute (SEI) Podcast Series
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Breaking Down Barriers: How LLMs Enable Software Analysis in Classified Environments
The recent explosion in large language model (LLM) technology has highlighted the challenges of using public generative artificial intellige...
Data-Driven Defense: Cyber Resilience in the Age of AI
Data breaches remind us of the importance of cyber resilience as an essential element of survivability and continuity of operations for all...
Software-Defined Warfare: Expanding the Frontier
Software-defined warfare is today's reality for national security, shifting the emphasis in military operations from hardware to software. I...
From Coordination Chaos to Mission Focus: The Waypoints Framework
In aviation, waypoints guide pilots through complex flight plans, providing some structure but maintaining flexibility. Kevin Dooley, a seni...
An LLM Evaluation Framework for High-Stakes AI
Experimentation and validation of LLM performance is critical when building LLM-driven systems that must reliably deliver a service, from cu...
Protecting AI Systems Against Data Poisoning
Data poisoning—where adversaries tamper with training data to corrupt model behavior—poses significant risks as AI adoption expands across c...
Goal-Line Defense: A Tool to Discover and Mitigate UEFI Vulnerabilities
As recently as December 2025, the Carnegie Mellon University Software Engineering Institute (SEI's) CERT Coordination Center (CERT/CC) docum...
Leadership, Legacy, and the Power of Mentors: Insights from Dr. Paul Nielsen
In February 2026, Paul Nielsen announced that he will transition out of his role as director and chief executive officer of the Software Eng...
With a Little Help from Our Civilian Friends: Cybersecurity Reserve Is Both Feasible and Advisable
Cybersecurity staffing shortages are a major concern in the government given the increasingly sophisticated cyber attacks on the nation's cr...
Maturing AI Adoption: From Chaos to Consistency
While Stanford University found that AI investments, optimism, and accessibility are rising, a recent MIT report suggests that 95 percent of...
Temporal Memory Safety in C and C++: An AI-Enhanced Pointer Ownership Model
In October 2025, CyberPress reported a critical security vulnerability in the Redis Server, an open-source in-memory database that allowed a...
AI for the Warfighter: Acquisition Challenges and Guidance
On November 7, the Department of War released an acquisition transformation strategy that seeks to remove bureaucratic hurdles and streamlin...
Visibility Through the Clouds with Network Flow Logs
Organizations, including the U.S. military, are increasingly adopting cloud deployments for their flexibility and cost savings. The shared s...
Orchestrating the Chaos: Protecting Wireless Networks from Cyber Attacks
From early 2022 through late 2024, a group of threat actors publicly known as APT28 exploited known vulnerabilities, such as CVE-2022-38028,...
From Data to Performance: Understanding and Improving Your AI Model
Modern data analytic methods and tools—including artificial intelligence (AI) and machine learning (ML) classifiers—are revolutionizing pred...
What Could Possibly Go Wrong? Safety Analysis for AI Systems
How can you ever know whether an LLM is safe to use? Even self-host ed LLM system s are vulnerable to adversarial prompt s left on the inter...
Getting Your Software Supply Chain In Tune with SBOM Harmonization
Software bills of materials or SBOMs are critical to software security and supply chain risk management. Ideally, regardless of the SBOM too...
API Security: An Emerging Concern in Zero Trust Implementations
Application programing interfaces, more commonly known as APIs, are the engines behind the majority of internet traffic . The pervasive and...
Delivering Next-Generation AI Capabilities
Artificial intelligence (AI) is a transformational technology, but it has limitations in challenging operational settings. R esearchers in t...