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Chris Inglis on Insider Threats, Snowden, and the Power of Behavioral Analytics

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Chris Inglis on Insider Threats, Snowden, and the Power of Behavioral Analytics

When most people picture a cybersecurity discussion, the British Museum probably doesn’t come to mind. Yet, on a recent Tuesday, the historic venue hosted a press roundtable featuring Chris Inglis, former deputy director of the National Security Agency (NSA), alongside representatives from Securonix, a security intelligence platform provider. The topic? The ever-evolving landscape of insider threats—a challenge that continues to plague organizations worldwide.

Inglis, drawing on decades of experience at the NSA and reflecting on the fallout from the Edward Snowden revelations, offered a rare glimpse into how behavioral analytics can help detect and mitigate these risks. His message was clear: traditional security measures are no longer enough.

The Growing Danger of Insider Threats

According to Inglis, the digital age has amplified the potential damage any single insider can cause. “People in possession of computers and network systems today have an opportunity to cause much greater harm in a much faster period of time than they once did,” he said. This shift demands a new approach—one that moves beyond simple vetting and trust.

He argued that organizations can no longer rely solely on perimeter defenses or periodic checkpoints. Instead, they must adopt a real-time understanding of what users are doing with sensitive data. “You have to have some understanding of what’s happening to the data now, in real time,” Inglis emphasized. “That means you have to have data about data—and analytics that can make sense of it.”

Building on this, he stressed that the goal isn’t just to react or track behavior after the fact. “The goal isn’t to react well, or even to track well, it’s to anticipate; to see these things coming and step in before the disaster occurs.”

Behavioral Analytics: The Key to Early Detection

So, how can organizations spot an insider threat before it’s too late? Inglis pointed to detailed user analytics as the linchpin. By monitoring patterns—such as unusual data access, off-hours logins, or excessive downloads—companies can identify anomalies that signal malicious intent or accidental risk.

However, this raises an uncomfortable question: When we start collecting data on employee behavior, are we crossing ethical boundaries? Inglis didn’t shy away from this. “They absolutely do,” he replied when asked if companies have an obligation to be transparent. “You can’t incur on their sense or expectation of privacy without justifying that and having a full conversation about that.”

He noted that the hardest conversation isn’t with the potential “Edward Snowdens” of the world—it’s with the 99.99% of employees who are trustworthy. “The internal population, as much as the external population, has a right to know that they are applying their time and talent to something that is properly controlled.”

Striking a Balance Between Security and Privacy

This brings us to a central tension in modern cybersecurity: how do you protect sensitive data without alienating your workforce? Inglis advocates for raising the ethical threshold. “Let’s really get at the things that are security relevant, because we are imposing on the privacy of individuals, most of whom are simply trying to make a positive difference.”

He warned against treating all employees as potential threats. “In our pursuit of the 1%, or the one in a million in Snowden’s case, we can’t abuse the 99%. We have to keep both entities in mind.” This means designing monitoring programs that encourage inspired work rather than squeezing it out.

Distinguishing Malicious Insiders from Accidental Risks

Another critical issue Inglis addressed is the difference between a malicious insider—someone who intentionally causes harm—and a user who poses a risk simply because they don’t know any better. “Well, not enough, clearly,” he argued when asked if companies fully understand this distinction. “Are they starting to get it? Yes—they are increasingly getting it.”

This distinction matters because the response differs. A malicious actor may require termination or legal action, while an accidental risk might benefit from training or policy changes. By leveraging behavioral analytics, organizations can tailor their responses and avoid unnecessary friction with well-meaning employees.

Lessons from the Snowden Case

The Snowden revelations remain a watershed moment for insider threat management. Inglis, who was at the NSA during that period, noted that the case highlighted systemic failures in monitoring and trust. Snowden was a privileged user with access to vast amounts of classified data—and he exploited that trust for years before detection.

Inglis’s takeaway? Organizations must continuously verify trust, not just grant it once. “You can no longer simply defend perimeters or checkpoints and assume that any mischief inside will be caught at the margins.” Real-time analytics, combined with transparent policies, offer a path forward.

For more insights on managing insider risks, check out our guide on insider threat prevention strategies and learn how to implement effective behavioral analytics tools in your organization.

Conclusion: A Call for Ethical Vigilance

As cybersecurity threats evolve, so must our defenses. Chris Inglis’s roundtable discussion underscores the importance of using insider threats as a lens to rethink security—not just as a technical challenge, but as an ethical one. By combining robust analytics with respect for employee privacy, companies can protect their data without sacrificing trust.

Ultimately, the goal is not to catch every bad actor after the fact, but to create an environment where threats are anticipated and neutralized—while the 99% continue to do their best work.

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G7 Tells the World to Speed Up the Quantum-Safe Encryption Transition

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Quantum Risk Is No Longer a Distant Worry

For years, the threat of quantum computers breaking today’s encryption felt like a problem for the next generation. The G7 just declared that mindset obsolete.

On September 3, under France’s 2026 G7 Presidency, the French National Cybersecurity Agency (ANSSI) — which chairs the G7 Cybersecurity Working Group — published a new call to action. It pushes governments and private organizations to start the quantum-safe encryption transition now, not later.

The document is blunt: reframe the quantum threat from “a distant future problem” to “a near-term threat that demands action across all sectors, not just critical infrastructure.”

Why the Sudden Urgency?

Quantum computers capable of breaking RSA and ECC — the very backbone of public-key cryptography — aren’t here yet. But the G7 notes that “several recent advances suggest an anticipation” of such machines. The exact timeline is uncertain, which is precisely the problem.

Attackers can already harvest encrypted data today and decrypt it later, once quantum machines mature. That’s the “harvest now, decrypt later” scenario that keeps security experts up at night. Waiting for proof that a working quantum computer exists would be a catastrophic mistake.

What the G7 Wants Organizations to Do

The call to action isn’t just a warning. It lays out a practical roadmap for the PQC migration.

First, identify the systems holding your most critical data. Prioritize those for the transition. Then inventory all cryptographic assets, map dependencies, and build a phased, risk-based plan.

The G7 also has a cost-saving tip: integrate post-quantum cryptography (PQC) into products you’re already buying. Replace systems as part of your standard renewal schedule rather than doing emergency rip-and-replace later. Starting early, the document argues, means lower migration costs overall.

Five Priorities for Governments and Industry

The G7 document outlines five concrete priorities that need attention from policymakers and the private sector:

  • Raise awareness about quantum threats across all sectors.
  • Develop national PQC strategies, including building an adequate supply of quantum-safe hardware and software.
  • Focus R&D on advancing PQC through practical innovation.
  • Build public-private partnerships between government, industry, and academia to grow domestic expertise.
  • Integrate PQC into cybersecurity requirements and procurement standards.

The document was signed by the national cybersecurity agencies of all G7 members — Canada, France, Germany, Italy, Japan, the UK, and the US — with support from the EU Commission and the EU Agency for Cybersecurity (ENISA).

ANSSI Is Already Moving the Goalposts

This isn’t ANSSI’s first warning shot. Months earlier, the agency announced it would stop vetting products that lack quantum-safe encryption starting in 2027. By 2030, post-quantum security becomes mandatory in procurement for certain security products in France.

That’s a hard deadline. If you sell security products into the French market, the clock is ticking. The G7 call to action suggests other member states may follow suit with similar requirements.

What This Means for Your Security Roadmap

If you haven’t started planning for the quantum-safe encryption transition, this document is your cue. The conversation has shifted from “if” to “when,” and from “someday” to “now.”

Start by taking inventory. You can’t protect what you don’t know you have. Map your cryptographic dependencies, identify crown-jewel data, and begin conversations with vendors about their PQC roadmaps. Many cybersecurity vendors are already preparing for the migration — make sure yours is one of them.

The quantum threat isn’t science fiction anymore. The G7 just made that official. Will your organization be ready when the deadline hits?

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OpenAI Puts $1 Billion on the Table to Arm Critical Services with AI Defenses

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A Billion-Dollar Bet on the Little Guys

OpenAI has committed a staggering $1 billion to put its cutting-edge AI cybersecurity tools into the hands of those who need them most: the people keeping your lights on and your water running. The announcement, made on September 3, outlines a plan to subsidize access to its Daybreak AI models for essential services across the United States and, eventually, the globe.

It’s a direct response to a grim reality. Small municipalities, rural utilities, and local non-profits are getting hammered by sophisticated cyberattacks, yet they often lack the budget and specialized staff to fight back effectively. They are defending aging infrastructure with outdated tools against adversaries who move at machine speed.

This isn’t charity; it’s a strategic move to level a playing field that has grown dangerously tilted.

What Exactly is Daybreak?

For the uninitiated, Daybreak is OpenAI’s dedicated cybersecurity initiative, first unveiled back in May 2026. It’s not a single product but a suite of capabilities that leverages the company’s frontier large language models (LLMs) alongside its AI-coding assistant, Codex. These tools are designed to be deployed by approved defenders for a wide range of security tasks.

By August, OpenAI had evolved this into a two-tier system: Daybreak Red and Daybreak Blue. Red focuses on offensive security—hunting for vulnerabilities before the bad guys find them. Blue is about defense, helping teams monitor, analyze, and respond to threats in real time.

The New ‘Frontline Defenders’ Program

The new initiative, dubbed Daybreak for Frontline Defenders, is all about integration. OpenAI isn’t just handing out API keys. The program is designed to help critical sectors actually embed these AI models into their existing cybersecurity tools, services, and daily workflows. The goal is to make AI assistance as routine as a firewall update.

Which sectors are first in line? Think water treatment plants, electricity grids, local government networks, non-profits, and banking institutions. The rollout starts in the US, but OpenAI explicitly states it intends to expand to partner countries in the coming weeks.

The potential impact is huge. With Daybreak access, a two-person IT team at a rural water authority could review legacy code for flaws, analyze suspicious network activity, and even develop and test fixes—tasks that would typically require a team of expensive security engineers.

A Pilot with MS-ISAC: Putting Words into Action

Talk is cheap, so OpenAI is pairing the pledge with a concrete pilot. They’ve announced a collaboration with the Multi-State Information Sharing and Analysis Center (MS-ISAC). This pilot will pair Daybreak access with guided training and hands-on assistance for an initial group of public sector and water system defenders.

MS-ISAC is a critical piece of the US cyber defense puzzle. It provides threat intelligence, incident-response support, and real-time information sharing to thousands of public-sector organizations. The plan is to start small, develop a repeatable approach, and then expand the partnership over time. It’s a sensible, methodical start.

The Stark Warning That Preceded the Check

This $1 billion pledge didn’t happen in a vacuum. It landed exactly one week after a coalition of over 100 tech and cybersecurity companies—OpenAI included—published an open letter on August 27. That letter was a blunt instrument, warning of a “narrowing window” to act before AI-enabled attacks escalate to a level that puts critical public services at severe risk.

The message was clear: the same AI that powers defensive tools also supercharges attackers. If we don’t democratize access to frontier AI for defenders, we’re essentially handing the keys to the kingdom to cybercriminals.

OpenAI echoed this sentiment in its announcement, stating that the defender’s window “will not stay open indefinitely.” The opportunity, they argue, is to ensure the advantages of frontier AI extend beyond the largest companies and best-resourced security teams, reaching into the communities and institutions whose security affects millions of people.

Beyond this pledge, OpenAI is also working on what it calls a Defense Factory—an automated approach designed to continuously discover, validate, and fix vulnerabilities. It’s part of a broader push to make AI-driven security proactive rather than reactive.

For anyone tracking the intersection of AI and national security, this is a significant development. The question isn’t whether AI will play a role in defending critical infrastructure—that’s a given. The real question is whether the defenders of that infrastructure will have equal access to the tools. With this billion-dollar bet, OpenAI is trying to make sure they do. For more on how AI is reshaping security, check out our analysis of AI-powered threat detection methods and the growing role of automated vulnerability patching tools.

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US and UK Join Forces to Dismantle Scam Centers Behind Billions in Fraud

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A New Alliance Against Cyber Fraud

The United States and the United Kingdom are pooling resources to shut down the sprawling scam centers that have siphoned billions from victims worldwide. A memorandum of understanding signed Thursday commits both nations to parallel investigations and shared intelligence on the organized crime networks behind these operations, many of which are based in Southeast Asia.

U.S. Attorney Jeanine Ferris Pirro met with senior officials from the U.K.’s National Crime Agency and Crown Prosecutor to formalize the agreement. Pirro stated the objective is to “disable” the Chinese gangs that operate these compounds.

How the Partnership Will Work

The memorandum outlines a framework for both countries to identify overlapping cases and decide which jurisdictions will bring charges. The goal is to prioritize cases that can deliver significant mutual impact.

Officials from both sides had already flagged substantial case overlaps. They are now committed to a joint disruption event with private industry partners, scheduled for early October in London and hosted by the National Crime Agency.

The Scam Center Strike Force Takes the Lead

This initiative is spearheaded by the Scam Center Strike Force, launched last November to coordinate U.S. enforcement against cyber-enabled fraud. The numbers are staggering: the FBI reports that cyber-enabled fraud accounts for nearly 85% of all losses reported to the agency. Americans lost over $12 billion to these scams last year — a figure likely far below reality, as many victims never come forward.

Assistant U.S. Attorney Karen Seifert leads the Strike Force. Testifying before Congress in March, she noted the team includes more than 150 personnel, drawing on prosecutors and agents from the FBI, IRS, and U.S. Postal Inspection Service.

Human Trafficking at the Core

These scam centers are not merely criminal enterprises; they are built on human trafficking. Victims are held in compounds across Myanmar, Cambodia, Laos, and neighboring countries, forced to run investment and romance fraud schemes. Chinese syndicates control the operations, often with the complicity of compromised local officials.

Early Wins and the Road Ahead

The Strike Force has already claimed a major victory. The disruption of Prince Group, a Chinese front company used to launder illicit proceeds, led to sanctions from both U.S. and U.K. agencies. The Justice Department also seized roughly $15 billion in bitcoin tied to the company’s CEO, Chen Zhi.

That seizure sent a clear message. But the problem is vast, and the syndicates are adaptive. The new US-UK partnership signals a recognition that no single nation can tackle this threat alone.

For more on related efforts, see how cyber fraud reporting works and the rise of Southeast Asian scam compounds.

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