Edition in partnership with

Welcome executives and professionals. The speed of AI progress means that models as capable as Claude Mythos Preview will soon be developed by many different AI companies.

Since the previous edition, we have reviewed hundreds of the latest insights in agentic and generative AI, spanning best practices, case studies, market dynamics, and innovations.

This briefing outlines what is driving material value — and why it’s important.

In today’s briefing:

• Claude Mythos finds 1000+ vulnerabilities.

• How to accelerate growth with AI.

• New rules of data for advanced AI.

• Agent capability and authorization.

• Transformation and technology in the news.

• Insights for Executive+ members.

• Career opportunities & events.

Read time: 4 minutes.

MARKET INSIGHT

Claude Mythos finds 1000+ vulnerabilities

Brief: Anthropic shared the first results from Project Glasswing, showing that Claude Mythos Preview and its 50 partners have uncovered more than 10,000 high- or critical-severity vulnerabilities in just one month.

Breakdown:

• Cloudflare identified 2,000 bugs with a false positive rate that outperformed human testers. Mozilla fixed 271 vulnerabilities in Firefox.

• Anthropic scanned 1,000+ open-source projects, with Mythos flagging 6,202 as high or critical, and independent triage confirming 62% as valid.

• Mythos extended beyond vulnerability detection: a partner bank used it to block a $1.5 million fraudulent wire transfer before funds were lost.

• Glasswing will expand to additional partners, including U.S. and allied governments, with a general release of Mythos-class models to follow.

Why it’s important: Glasswing gives critical cyber defenders an asymmetric advantage, but broader firms need to shore up their defenses. When Mythos-level AI becomes generally available, an enterprise's ability to patch faster than threats emerge will become a critical competitive edge.

IN PARTNERSHIP WITH AWS

Turn enterprise AI ambition into results

Brief: Join global executives, innovators, and AWS experts virtually at AWS Summit India Online on June 3. Stream live from the US, Europe, or anywhere in the world to discover the frameworks that drive enterprise AI impact.

Event highlights:

• 50+ virtual sessions tailored for innovators and builders

• Real-world AI and cloud transformation success stories

• The latest on agentic AI and modern infrastructure

• Live Q&As and networking

Secure your free virtual ticket here.

BEST PRACTICE INSIGHT

How to accelerate growth with AI

Brief: BCG outlined how AI and analytics give strategists an edge in identifying growth opportunities, helping companies find new adjacencies, anticipate customer shifts, and spot competitive threats early.

Breakdown:

• Mining patent citation networks using NLP can reveal unexpected applications for existing technologies, unlocking new markets.

• AI analysis of reviews, forums, and call transcripts can surface shifting consumer sentiment and flag emerging customer priorities.

• Training reasoning models on competitor investor days, research funding, and hiring data can reveal strategic shifts before they reach the market.

• Agentic AI can monitor startup formations and scientific publications to map emerging disruptors and estimate likely disruption timelines.

Why it’s important: AI and analytics are becoming even more central to growth strategy. Firms can scan for adjacencies, track competitors, and monitor disruption to build advantages. Those that don't risk being outpaced by rivals who shape the competitive landscape on their own terms.

MARKET & BEST PRACTICE INSIGHT

New rules of data for advanced AI

Brief: Accenture research surveying executives across 2,000 companies found that AI momentum is outpacing data readiness, with only 7% of firms, “data reinventors,” having built the foundations needed to scale advanced AI.

Breakdown:

• Most organizations rely on siloed, static data built for human experts, and advanced AI is exposing these limitations faster than ever.

• Only 6% of companies have a unified logical data view today, versus 30% of data reinventors, revealing how wide the readiness gap has become.

• Data reinventors hold an estimated 4.5 percentage point EBIT margin advantage, equivalent to a margin uplift of up to 1.6x over three years.

• Reinventors follow a continuous loop: capturing trusted data, contextualizing it with shared meaning, then reinvesting those gains.

Why it’s important: Most enterprises are scaling AI on data foundations that were never built for it. The 7% that have invested in AI-ready data are already pulling ahead on margins and decision quality, and as advanced AI becomes standard, that gap will only widen.

AI-NATIVE PROFESSIONAL

How to run company due diligence with Claude

Brief: In this guide, you'll learn how to use Claude to evaluate a company by running due diligence, modelling financials, flagging contradictions, and producing a research memo, all from your own documents.

Step-by-step:

1. Describe your investment question and what you're evaluating. Your prompt can stay broad. Claude works through the analysis on its own.

2. Claude reads across SEC filings, trial protocols, and patent documents simultaneously, reasoning through the dependencies.

3. It flags where documents contradict each other (e.g. a risk factor in the 10-K misaligned with revenue assumptions).

4. Claude produces an integrated research memo, a financial model, an interactive scenario dashboard, and a patent cliff timeline.

Best practice: If your team runs due diligence with a standard set of steps, checklists, or evaluation criteria, you can package that entire process as a reusable Cowork plugin.

For the full guide, including prompts, upgrade to Executive+ or The Boardroom.

BEST PRACTICE INSIGHT

Agent capability and authorization

Brief: WEF and Capgemini argue that the central challenge for AI agent adoption is not capability but authorization, introducing the Agent Capability and Authorization Profile (ACAP) for governed, scalable deployment.

Breakdown:

• Firms can describe what agents are capable of but consistently struggle to define what they should be authorized to do in a given workflow.

• ACAP is a living authorization record that connects enterprise policy, system design, and operational oversight in a single auditable profile.

• Risk is often architectural rather than model-driven. The same agent can present very different risk profiles depending on tool access and context.

• A single model-level vulnerability can propagate across an agent portfolio, making deployment-level authorization critical at scale.

Why it’s important: Most governance frameworks were built for traditional software, not systems that interpret context and act autonomously. As agent adoption accelerates, the gap between what AI can do and what firms have authorized it to do becomes the defining risk ACAP is designed to close.

IBM published a 29-page report finding that AI execution maturity, not technology, drives finance cost savings of up to 18%.

Oxford Economics published a 90-page analysis showing restrictive sovereign AI policies can delay adoption by 3-5 years and cut national GDP gains.

IBM shows how Brighthive used watsonx Orchestrate to build a governed agentic data team, automating ingestion, quality, and governance at scale.

BCG argues ontology is the missing semantic layer that gives AI shared meaning across systems, enabling scale beyond isolated, expensive pilots.

a16z argues AI compliance, KYC, AML, payroll, is enterprise software's largest untapped opportunity, with $40B+ in annual US labor spend.

Digital Applied compiled 220+ data points showing only 17% of firms deploy agents, with 40%+ of agentic projects likely cancelled by 2027.

Anthropic's Mythos model was briefly visible inside Claude tools as "Mythos 1," fueling speculation that a public release may be approaching.

Microsoft introduced RAMPART and Clarity, open-source tools designed to bring safety directly into the agent development workflow.

Goldman Sachs CEO David Solomon argued in a New York Times op-ed that AI will create more opportunities than it eliminates.

Microsoft released MagenticLite, an experimental agentic application built for small models that works across the browser and local file system.

Uber's COO said it is becoming harder to justify AI spending, as higher AI activity is not translating into proportional business gains.

xAI launched Grok Build, its rival to Codex and Claude Code, in beta for all SuperGrok and X Premium+ subscribers.

CAREER OPPORTUNITIES

Mars - Global Head of Analytics & AI

Salesforce - AI-Native Senior Director

Google - AI Managing Director

EVENTS

Databricks Data+AI Summit - June 15-18, 2026

Responsible AI Summit - June 23-24, 2026

AI Enterprise Conference - September 1, 2026

Reach enterprise AI decision-makers:

• 66% of readers are C-level executives or VP and Director-level leaders.

• 63.2% of the audience is based in the U.S., EU, UK, ANZ, and Singapore.

• Read by leaders at Microsoft, Deloitte, the Fortune 500, and more.

Guaranteed impression and custom sponsorship packages available, with post-send performance reporting.

Conceived as a practical communication for executives Lewis Walker has worked with, this briefing has become a trusted resource for thousands of senior decision-makers shaping the future of enterprise AI.

We welcome your feedback.