
Federal agencies will shift to a priority and ris…
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Today on the Daily Scoop Podcast from the Scoop News Group, OMB swaps out a Biden Era cyber memo for new prioritized logging tactics and Anthropic's mythos finds more than 10,000 software flaws in its first month. It's Wednesday, May 27, 2026. Welcome to the Daily Scoop Podcast where you'll hear the latest news and trends facing government leaders. I'm the host of the Daily Scoop Podcast, Billy Mitchell. Thanks so much for joining me. And now let's dive into the day's top headlines. Federal agencies will shift to a priority and risk based method of logging cybersecurity events under a Friday memo from the Office of Management and Budget aimed at cutting red tape and costs. The memo from OMB Director Russell Vogt rescinds and replaces a previous directive from the Biden administration issued after the 2020 SolarWinds breach that affected both the public and private sectors. While the previous policy improved foundational capabilities across agencies, OMB said the amount of data that agencies were required to retain was costly and operationally difficult. In its place, the Trump directive outlines a risk based, prioritized approach to logging. OMB's policy comes amid concern about the use of artificial intelligence and automation to fuel cyber attacks, that technology can speed up the process of gaining access to a system and help covertly maintain that access for a long time. It's also increasingly being used by threat actors, the memo said. Event logging is a key aspect of agencies ability to mitigate those threats, OMB said, adding that agencies rely on information from logs to understand activity across their systems, recognize events that require attention and support the analysis and response actions that protect sensitive data and maintain operations. Under the policy, agencies are instructed to prioritize two objectives, continuous event monitoring and threat hunting, investigation, response and forensics. Specifically, continuous event monitoring refers to capabilities that allow agencies to monitor their networks in real time and threat hunting, investigation, response and forensics encompasses each agency's ability to investigate and analyze network activity. Over the next 90 days, the Department of Homeland Security's Cybersecurity and Infrastructure Security Agency, in coordination with OMB and the Chief Information Security Officer Council, will develop more guidance for agencies. That guidance will be in the form of a logging reference architecture that meets the requirements of the memo. Now, moving on to other news, Anthropic's mythos large language model is the talk of federal tech and cyber practitioners across the Beltway, and for good reason, according to the company. Its month old Project glasswing initiative, which allows select researchers to get their hands on the mythos model has uncovered more than 10,000 high or critical severity software vulnerabilities across systemically important code, a finding that Anthropic says has shifted the central problem in cybersecurity from discovering flaws to verifying and patching them. The findings, drawn from partner reports and independent evaluations, mark one of the first large scale accountings of what a frontier AI model can do when pointed at widely used code and of the bottlenecks that emerge once it does. Several partners reported that their rates of bug discovery had increased more than tenfold. Cloudflare, for example, identified 2,000 bugs across its critical path systems, including 400 rated high or critical, with a false positive rate that the company said it considered better than that of human testers at one unnamed partner bank. The model was credited with helping detect and Prevent a fraudulent $1.5 million wire transfer initiated after a customer's email account was comprom followed up with spoofed phone calls. External evaluations cited in the update tracked with the results of Anthropic's release. The United Kingdom's AI Security Institute found that Mythos Preview was the first model to solve both of its cyber ranges, simulations of multi step cyber attacks from end to end. Mozilla said it found and fixed 271 vulnerabilities in Firefox 150 while testing the model more than 10 times the number found in Firefox 148 using an earlier anthropic model. AI powered security company Expo called the model a significant step up over existing systems on its web exploit benchmark. Anthropic also used Mythos to scan more than 1,000 open source projects and the model has flagged 23,019 potential vulnerabilities, 6,202 of them estimated as high or critical of 1,752 higher critical rated findings reviewed by six independent security research firms or by anthropic itself. Over 90% were confirmed as valid and over 62% were confirmed to be higher critical. The company did note that while it's good at finding vulnerabilities, there is still a gap in having people fix every issue, the report stated. The bottleneck in fixing bugs like these is human capacity to triage report and design and deploy patches for them, unquote. Anthropic said it has not released Mythos class models publicly because no company, including itself, has developed safeguards to prevent serious misuse. In the interim, it has released Claude Security in public beta for enterprise customers, which it said has been used to patch more than 2,100 vulnerabilities in three weeks using the publicly available Claude Opus 4.7, and has begun a cyber verification program for security professionals. The company said it plans to expand Project Glasswing with additional partners, including U.S. and allied governments, before any broader release of the underlying model. For more news at the intersection of the federal government and technology, make sure to visit fedscoop.com the battlespace has entered a new era of relentless multi domain competition spanning land, air, sea, space, cyber and beyond. In this rapidly shifting environment, speed, precision, technology and information superiority are not just advantages, they are critical to modern warfare. Register today for GDIT's Emerge Battle Space of the Future June 2 at the Waldorf Astoria in Washington, D.C. where military leaders, technologists and industry leaders will converge to explore the breakthroughs defining the future of warfighting and what it takes to secure and maintain strategic dominance in an increasingly contested world. For more information about the event and to register, make sure to visit gditbattlespace.upgather.com or visit the events page on fedscoop.com
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thanks so much for tuning in to another episode of the Daily Scoop Podcast, available on all podcast platforms. If you've already rated the podcast on your platform of choice, thanks so much. High ratings and good reviews of the show help more people to find it. The Daily Scoop Podcast is a production of the Scoop News Group in Washington, dc. Adam Butler and Carlin Fisher help put the show together and the entire Scoop News Group team contributes. We'll be back tomorrow with more top headlines. Until then, I'm your host. As always, Billy Mitchell. Thanks so much for listening.
Episode: OMB Update: Federal Cyber Logging Tactics
Date: May 27, 2026
Host: Billy Mitchell
This episode explores a pivotal change in federal cybersecurity policy, as the Office of Management and Budget (OMB) issues a new directive that transitions agencies from a blanket data-logging approach to a prioritized, risk-based system. The episode also highlights the significant impact of Anthropic’s Mythos large language model on software vulnerability detection across the government tech landscape.
Background:
Policy Shift:
Key Priorities for Agencies:
Next Steps:
Project Glasswing:
Partner Results:
Open Source Impact:
Key Challenge:
Access and Expansion:
On Costs and Complexity of Prior Logging Rules:
On Logging’s Importance:
On the New Central Cybersecurity Challenge:
On Human Bottlenecks:
This episode highlights crucial developments in federal cybersecurity strategy and emerging AI-powered solutions for vulnerability detection. The OMB’s new, risk-based logging directive aims to optimize agency resources against modern threats, while Anthropic’s Mythos model demonstrates AI’s transformative—yet challenging—role in securing government and public software ecosystems.