Volume 343, Issue 3 · 8 articles from 4 issues
Leidos shares five cyber takeaways from the Billington CyberSecurity Summit, from AI-speed attacks to identity threats.
Drawing on Leidos experts' panels at the 17th Annual Billington CyberSecurity Summit in Washington, D.C., the post lists five priorities for cyber operators.
AI is accelerating how quickly vulnerabilities are found and exploited, leaving operators minutes or hours to respond, while identity attacks are moving beyond passwords and AI systems themselves create new attack surfaces.
Organizations must balance more automation with human judgment, resilience and trust.
Leidos launches UpHold Effect Agentic SOC Automation, using AI agents to triage alerts around the clock, with a FedRAMP High option.
Leidos introduced UpHold Effect Agentic SOC Automation, which uses AI agents around the clock to triage alerts, gather context and assemble findings for analyst review, and is designed to work with existing security tools rather than replace them.
Customers control what the AI can investigate, recommend or act on, and every action leaves an auditable record.
A FedRAMP Class D (High) deployment option is available, with a pathway toward DoD Impact Level 4 and 5 environments.
Leidos outlines a know-control-prove governance model for autonomous AI agents in defense and intelligence settings.
Leidos Distinguished Engineer Noble Ackerson sets out a 'Know, Control, Prove' governance model for autonomous AI agents in defense and intelligence environments, where 'Know' means seeing every agent, its builder, what it may touch and how much autonomy it has earned.
'Control' uses a calibrated trust score weighing task familiarity, outcome safety and reversibility, so low-risk actions proceed while high-consequence ones pause for a human.
'Prove' produces hash-chained, tamper-evident records mapped to NIST compliance families, and the post cites Gartner's forecast that over 40% of agentic AI projects will be canceled by 2027.
Leidos is taking part in Reveille Forge, the Army's enduring environment for finding integration issues before fielding.
Leidos is participating in Reveille Forge, the U.S. Army's new enduring integration and testing environment that follows the earlier Operation Jailbreak exercise and aims to identify system interoperability challenges earlier in development, before technologies reach soldiers.
Leidos highlighted systems including its ALPS passive long-range aerial surveillance sensor.
Leidos executives said open architectures can turn integration from a barrier into an advantage.
Leidos research shows AI summaries can distort source meaning and that experience with AI does not always prevent errors.
Dr. Kimberly Ferguson-Walter's cognitive security team at Leidos studies how AI-generated information affects human judgment, and their research shows AI summaries can introduce distortions that shape how readers interpret source material, even for users experienced or confident with AI tools.
This is especially consequential for intelligence analysis, which depends on independent judgment.
The research suggests targeted cues can help users recognize errors before incorporating them into their work.
Leidos argues document intelligence should be judged by how well it prepares information for decisions, not just extraction.
Leidos says intelligent document processing has existed for decades, yet digitizing information does not automatically make it useful when data stays fragmented across systems or disconnected from the people who need it.
Moving that data to the cloud does not solve the problem on its own.
Leidos argues document intelligence should be measured by how effectively it prepares information for a decision, which requires context such as relationships, source evidence and task-specific details, and it promotes modular modernization that unlocks value without wholesale replacement.
Leidos explains why session token theft bypasses MFA and how cheap infostealer tooling has made it a mainstream attack.
Leidos says token theft works because it happens after authentication, so multi-factor authentication never comes into play.
After login, a session token proves a user's identity to email, work systems or banks, and an attacker who steals it inherits the session without the password or MFA prompt.
Leidos describes tokens as bearer credentials trusted by whoever holds them, and notes that infostealer malware and cheap tooling have made token theft operationally easy, requiring no special skill or targeting.
Leidos wins a $95 million Defense Logistics Agency contract to add AI automation to the Pentagon's ELMS asset management system.
Leidos will deploy AI automation to streamline the Pentagon asset management system that more than 50 agencies use to manage over 80 million items of government property worth more than $140 billion.
Under a new $95 million, five-year contract from the Defense Logistics Agency, Leidos will extend its two decades of support for the Enterprise Logistics Management System (ELMS).
Leidos says improving ELMS performance will directly benefit military readiness and advances its NorthStar 2030 strategy.