ORI

09/03/2026

creates the most value when it improves how decisions are made—not when it replaces judgment or hides uncertainty behind polished outputs.

Don’t shortcut the decision process. Gain strategic advantage with COA-SEER: Course of Action—Simulated Evidence and Evaluation Response.

See how this solution from ORI, , Mind’s Eye Consultancy, , and Virtue Consultants delivers decision advantage in the age of AI: https://bit.ly/4gKcGYe

09/02/2026

's Athena coalition processed 40,000+ open source vulnerabilities in just 3 weeks.

Frontier models are now uncovering decades-old flaws and security issues—but faster than the ecosystem can patch them. And Athena’s “orchestrated defense of open source software” is attacking the tidal wave of vulnerabilities.

Chainguard CEO & co-founder Dan Lorenc tells diginomica it’s a “margin call” on 10 years of open source technical debt and explains:

🔹Why he doesn’t think there’s a “normal” to get back to
🔹How he hopes Athena can help the hardest-hit sectors and critical infrastructure equipped with fewer resources
🔹Why it’s time for security and platform leaders to go back to basic principles—but faster and more seriously than before

09/01/2026

When it comes to , can your organization defend its outputs and provide transparent, traceable results?

CEO Pat Condo explains what it takes to build AI you can trust, explain, and defend on iHeartRadio's “CEOs You Should Know” podcast. 🎙️Listen in to learn:

- Why explainability, provenance, and data lineage are essential to enterprise and
- What many still get wrong about AI
- Why listening is one of the most important leadership skills
- Where autonomous AI could take us next—from remote environments to space

🎧https://bit.ly/3UtTrL6

08/31/2026

A $450M bid protest alleging a decision was based on “a classic ” is a preview of what's coming for every agency using in source selection, warns ’s David Smalley in Washington Technology.

The race to AI adoption is outpacing acquisition regulations and the ability to explain and defend decisions influenced by AI. Informing a decision and being held accountable for one are separate jobs with separate standards.

Amid staffing and capacity shortages, responsible application of AI hinges on 4 concrete capabilities:

1️⃣ Auditability
2️⃣ Observability
3️⃣ Contestability
4️⃣ Evaluations

Read more at

A $450M bid protest over an alleged AI hallucination is a preview of what's coming for every agency using AI in source selection, writes David Smalley with defense AI firm Seekr.

08/28/2026

Can you defend what your just did?

Regulatory deadlines for AI keep slipping, but the need for AI accountability remains. Innovation always outpaces regulation—and obligations around fostering transparency, investing in , disclosing AI involvement, explaining adverse decisions, correcting bad data, and providing a path to human review aren’t going away.

Stefanos Poulis, 's Chief Technology & AI Officer, shares his perspective on compliance and the AI trust-verification gap on Unite.AI: https://bit.ly/46yK92Z

“If an organization cannot reconstruct, explain and defend what its AI systems are doing, regulatory delays offer only temporary relief … Real accountability is determined by what your organization does in deployment, absent or inclusive of regulatory requirements.”

Regulatory Deadlines for AI Keep Slipping, but the Need for AI Accountability Remains For two years, the regulatory conversation around enterprise AI has been organized around deadlines. The EU AI Act's high-risk provisi...

08/27/2026

At last month’s Next-Gen Cyber Operations: in Action Summit, we noticed a trending topic: Mandiant’s M-Trends Report 2026.

Across discussions of and AI-driven threat detection and response, the report’s findings kept popping up:

⌛️Time-to-exploit has plummeted, now often beginning before a patch ships
📉The Zero-Day standard has inverted to -7 days

How are you defending your organization and investing in threat intelligence? Read more in the new edition of ORI's newsletter: https://bit.ly/466PD5b

And find the full report, based on 500k hours of real-world incident investigations: https://bit.ly/4y8I21V

08/26/2026

In the sprint to deploy to enhance federal decision-making and automate complex workflows, what happens when agents are working with old or incomplete data?

An outdated dashboard can paint an incomplete picture, and an autonomous agent operating on stale or fragmented information can carry mistakes directly into mission workflows—at greater speed and scale.

Software alone is not enough to deploy AI safely and responsibly at scale. Andrew Churchill, VP Federal at Qlik, explains why agencies must rethink their approach to data infrastructure to escape “transformation limbo” and manage risk with an enterprise-grade infrastructure that:

✅Integrates data
✅Orchestrates AI
✅Embeds governance at every layer

https://bit.ly/4ccfX16

08/25/2026

adoption in the federal government is booming, but not all agencies are progressing at the same pace.

The August edition of ORI’s newsletter investigates a recent study examining federal AI use cases and breaks down how to build your gameplan for AI adoption. We also look at:

🔸 How a new solution from ORI and our technology partners harnesses AI to improve the decision process while enhancing explainability and accountability
🔸 Highlights from the Next-Gen Cyber Operations: AI in Action Summit—and why everyone was talking about time-to-exploit
🔸 Why a defense technology leader trusts to innovate at mission speed and scale to protect its software supply chain
🔸 Closing the AI trust-verification gap with

Read the new edition and subscribe: https://bit.ly/466PD5b

08/24/2026

In , model performance is ultimately constrained by the quality and representativeness of your training data. Forget about raw data volume. Voxel51 CEO & Co-Founder Brian Moore says the real challenge is building a tight, continuous feedback loop to catch failure modes, identify edge cases, and feed insights directly into your data pipeline for the next training iteration.

Read more of his perspective in The Robot Report’s examination of the state of physical and robotics: https://bit.ly/45LsG7f

Plus read up on how ’s new multimodal time-series support gives teams a synchronized view across camera feeds, 3D spatial data, numeric sensor signals, and annotations: https://bit.ly/4gNC7t8

08/21/2026

When teams can't migrate fast enough, standardization on secure open source artifacts stalls.

But intelligently automates migration to ’s hardened open source artifacts—so teams standardize faster and developers never break stride.

Learn more about Guardener: The agent for frictionless, trusted open source adoption➡️https://bit.ly/4glKvi6

And join the Guardener Learning Lab on 8/27 for a demo of:

☑️The advantages of over standard GitHub Actions
☑️How Chainguard’s zero-CVE images reduce security risk
☑️Using Guardener to automate a migration of images and actions