Fri 10 April 2026
Daily Brief — Curated and contextualised by Best Practice AI
Executives Map AI Boundaries, Workers Defy Mandates, and Policymakers Convene on Risks of Anthropic
TL;DR Executives in finance and cyber defense are mapping applications for Anthropic’s Claude plug-ins to preserve trust in sensitive work areas. A Fortune survey finds 80% of white-collar workers refusing AI adoption mandates, while NBC reports AI has replaced tasks for 20% of US full-time employees. Treasury Secretary Bessent and Fed Chairman Powell summoned banking leaders to assess systemic risks from Anthropic’s new model amid Iran’s AI-targeted attacks on Gulf states. Only 14% of firms have a clear AI strategy, according to Altimetrik and HFS Research.
The stories that matter most
Selected and contextualised by the Best Practice AI team
White-collar industries bet on a secret weapon against AI: trust
Executives across finance and cyber defence map where Anthropic’s Claude ‘plug-ins’ will — and will not — change work
Asian start-ups evolve to reshape industries with AI
Entrepreneurs focus on improving established sectors including logistics, manufacturing and healthcare
The Wharton Blueprint for AI Agent Adoption - Knowledge at Wharton
The Wharton Blueprint for AI Agent Adoption - Knowledge at Wharton This content is password protected. To view it please enter your password below: Password: ###### SPONSORED CONTENT ## Looking for more insights? Sign up to stay informed about our latest article releases. Name Email How often would you like to receive newsletters? Get the latest from Knowledge at Wharton every week Get a roundup of the best content from Knowledge at Wharton once a month Subscribe
AI is jagged, but I think sometimes it is easy to overly focus on that. The generalness is a surprise too! LLMs may be optimized for verifiable fields like coding, but AI is also not bad at corporate strategy & medical advice & writing a sestina & expressing empathy & ideation.
AI is jagged, but I think sometimes it is easy to overly focus on that. The generalness is a surprise too! LLMs may be optimized for verifiable fields like coding, but AI is also not bad at corporate strategy & medical advice & writing a sestina & expressing empathy & ideation.
Norwegian Kilter secures €6.5 million to expand autonomous weeding technology globally
– Advertisement – Norwegian agtech company Kilter has raised €6.5 million in new financing in a strategic round that includes a lead investment from Japanese agricultural machinery group Kubota Corporation alongside continued participation from existing shareholders such as Pymwymic, SBG Invest, and Nufarm. The company, which develops autonomous precision weeding and spraying systems for row […]
Fact Check Team: AI data centers spark local backlash across the US
As AI technology surges across the country, it’s not just chatbots drawing attention.
Bessent and Powell’s A.I. Anxiety
The Treasury secretary and the Fed chairman reportedly summoned banking leaders to discuss the potential systemic risks of Anthropic’s new model.
Google taps Intel for another round of custom network chips • The Register
: Custom ASIC biz now running at a $1B annual pace for Intel
Microsoft hints at bit bunkers for war zones
President Brad Smith tells an interviewer that Microsoft is reconsidering datacenter design in light of the Iran war.
Claude Mythos Is Everyone’s Problem
What happens when AI can hack everything?
Only 14% of firms have clear AI strategy, study finds
Only 14% of firms have clear AI strategy, study finds IT Brief New Zealand - Technology news for CIOs & IT decision-makers # Risk & Compliance # Only 14% of firms have clear AI strategy, study finds Thu, 9th Apr 2026 (Yesterday) By Shannon Williams, News Editor Altimetrik and HFS Research have published research showing that only 14% of Global 2000 companies have a documented AI strategy with clear goals. The findings are based on a survey of more than 500 senior executives across Global 2000 organisations in five industries. The study highlights a gap between the adoption of artificial intelligence tools and the governance structures meant to oversee them. Many large businesses are using AI in decisions on hiring, capital allocation, compliance and operations without clearly defining who is res
AI Will Test Governments on Jobs, Training, and Public Trust | Stanford Graduate School of Business
Researchers and former policymakers discuss how governments can manage workplace disruption that's arriving with unprecedented speed.
AI has replaced work for 20% of full-time employees in the U.S., survey says
A nonprofit AI research center found that half of American adults used AI in the past week, either for personal or work use.
White-collar workers are quietly rebelling against AI as 80% outright refuse adoption mandates | Fortune
"AI didn't deliver," Johns Hopkins professor Steve Hanke told Fortune. "Welcome to the real world. Forget the AI bubble."
Iran's Attacks on UAE, Saudi Arabia, and Qatar Were the First War Against AI
The Iran war has revealed the geopolitical miscalculations of the current tech race.
Economics & Markets
Research suggests AI infrastructure projects are worth the investment less than 30% of the time | PC Gamer
Join the club for quick access. Enter your email below and we'll send confirmation, and sign you up to our newsletter · By submitting your information you agree to the Terms & Conditions and Privacy Policy and are aged 16 or over
The AI industry’s race for profits is now existential
An analysis of the current pressure on AI companies like Anthropic and OpenAI to achieve profitability.
SoftBank Eyes Leadership Shift: Arm CEO to Spearhead Global AI Strategy
SoftBank is considering expanding Arm CEO Rene Haas's role to oversee international operations, reflecting a strategic pivot toward AI and advanced chip technology.
Tech stocks today: Anthropic exploring its own chips, TSMC revenue soars on strong AI demand
Live coverage of "Magnificent Seven" stocks, and the latest technology news.
Buy this semiconductor maker as AI data center boom continues, Stifel says
The investment firm upgraded the chipmaker to buy from hold.
For Oura and Whoop, health has a reasonable chance of being wealth
The two health technology wearable companies have recently raised money at valuations of $11bn and $10bn respectively
Patlytics Secures $40M to Revolutionize Patent Law with AI, Targets Global Expansion
Patlytics has secured $40 million in Series B funding to enhance its AI platform for patent lifecycle management, targeting Am Law 100 firms.
Microsoft wants ChatGPT subscribers' US claims sent to arbitration or dismissed
Microsoft urged a US judge to dismiss an antitrust lawsuit filed by ChatGPT Plus subscribers, arguing their alleged injury is indirect and speculative.
Nvidia stock jittery on Thursday as Amazon may ramp up competition
Amazon signals rising competition with in-house AI chips. Nvidia shares were jittery on Thursday as investors questioned whether the two-week truce between the US and Iran would hold. competition · The stock was up 0.7% to $183.75, after closing 2.2% higher in the previous session. The S&P 500 was largely flat. Geopolitical ...
Labor & Society
White-collar workers are quietly rebelling against AI as 80% outright refuse adoption mandates | Fortune
"AI didn't deliver," Johns Hopkins professor Steve Hanke told Fortune. "Welcome to the real world. Forget the AI bubble."
AI has replaced work for 20% of full-time employees in the U.S., survey says
A nonprofit AI research center found that half of American adults used AI in the past week, either for personal or work use.
Managers and Executives Disagree on AI—and It’s Costing Companies
An HBR article highlighting how internal misalignment between executives and middle managers regarding AI incentives and expectations is slowing organizational adoption and execution.
With AI Set to Destroy Millions of Indian Jobs, Traditional Career Advice is a Death Trap - Sify
AI to Destroy Millions of Indian Jobs, Traditional Career Advice is a Death Trap
57% Gen Z want higher pay for key skills as AI reshapes workplaces - India Today
Mercer’s Global Talent Trends 2026 report shows that Gen Z workers in India are increasingly linking pay to skills in demand. At the same time, companies are rapidly redesigning workplaces around AI, as trust and fairness concerns grows among employees.
17 AI-proof jobs that pay at least $80K per year - AOL
Updated Thu, April 9, 2026 at 2:59 PM UTC 0 The jobs that AI is steadily eating tend to share a few features: they happen on a screen, they're repetitive, and the output can be reviewed without a human body being present. That covers a lot of territory. But there's a sprawling category of work where none of those things are true, where you have to go somewhere, do something physical or deeply relational, and be accountable in a way no model can be. A lot of those jobs pay surprisingly well. The 17 jobs below span trades, outdoor science, healthcare, design, and a few fields that don't get much attention in these conversations. All salary figures are median annual wages from the Bureau of Labor Statistics May 2024 data unless otherwise noted. ## Elevator installer and repairer Image Credit: Shutterstock The [median pay for elevator installers and repairers was $106,580 in 2024](http
An AI Agent Is Saving a Leader at IBM Consulting Hours Every Week - Business Insider
An AI Agent Is Saving a Leader at IBM Consulting Hours Every Week - Business Insider You're currently following this author! Want to unfollow? Unsubscribe via the link in your email. IBM's global consulting business has nearly 150,000 employees. Artur Widak/NurPhoto via Getty Images 2026-04-09T18:06:55.713Z Share Copy link Email Facebook WhatsApp X LinkedIn Bluesky Threads Save Saved - IBM's Dave McCann is using an AI agent to prepare for client meetings. - He said "Di
Claude Mythos Is Everyone’s Problem
What happens when AI can hack everything?
Anthropic’s AI sparks concerns over a new national security risk - POLITICO
If we take Anthropic at its word, ... for national security. This raises the wider societal question: Should we trust any private company to have control over a technology that could potentially upend cybersecurity at this scale? “To the extent that it’s true that Mythos is ‘the one ring to rule them all’ in cyber capabilities, having that concentrated anywhere would not be great,” said Bill Drexel, a Hudson Institute senior fellow who studies AI policy...
Scoop: OpenAI's new cyber product
OpenAI is finalizing a cybersecurity product for a select group of partners, as model-makers grapple with the risks of advanced AI hacking capabilities. Anthropic is also limiting access to its new Mythos model.
OpenAI Foundation Sheds More Light on Its Grantmaking, But Big Questions Remain
The foundation aims to disburse $1 billion in the next year, yet concerns linger around potential conflicts of interest with the for-profit OpenAI Group.
The hidden risk of AI building itself - Washington Examiner
The more we rely on AI, without oversight or validation, the greater our exposure is to making critical decisions based on hallucinations.
Bessent and Powell’s A.I. Anxiety
The Treasury secretary and the Fed chairman reportedly summoned banking leaders to discuss the potential systemic risks of Anthropic’s new model.
Sam Altman says AI superintelligence is so big that we need a 'New Deal.'
Sam Altman advocates for a new policy framework for AI, though critics argue his proposals are a form of regulatory nihilism.
OpenAI made economic proposals — here’s what DC thinks of them
An analysis of how Washington D.C. is reacting to the economic policy proposals put forward by OpenAI.
Transatlantic cooperation on AI and national security - Atlantic Council
The Atlantic Council—through ... it develops, and the communities it builds—shapes policy choices and strategies to create a more free, secure, and prosperous world. The Atlantic Council’s Europe Center conducts research and uses real-time analysis to inform the actions and strategies of key transatlantic decision-makers in the face of great-power competition and a geopolitical rewiring of ...
European AI Stifled by Regulatory Challenges, Lags Behind Global Leaders | VoIP Review
The challenges facing artificial intelligence (AI) development in Europe are becoming increasingly evident.
The ATOM Project
The ATOM Project aims to bolster U.S. open-source AI development to remain competitive with international advancements, focusing on transparency and innovation.
AI Will Test Governments on Jobs, Training, and Public Trust | Stanford Graduate School of Business
Researchers and former policymakers discuss how governments can manage workplace disruption that's arriving with unprecedented speed.
Only 14% of firms have clear AI strategy, study finds
Only 14% of firms have clear AI strategy, study finds IT Brief New Zealand - Technology news for CIOs & IT decision-makers # Risk & Compliance # Only 14% of firms have clear AI strategy, study finds Thu, 9th Apr 2026 (Yesterday) By Shannon Williams, News Editor Altimetrik and HFS Research have published research showing that only 14% of Global 2000 companies have a documented AI strategy with clear goals. The findings are based on a survey of more than 500 senior executives across Global 2000 organisations in five industries. The study highlights a gap between the adoption of artificial intelligence tools and the governance structures meant to oversee them. Many large businesses are using AI in decisions on hiring, capital allocation, compliance and operations without clearly defining who is res
AI Legislative Update: April 10, 2026 — Transparency Coalition. Legislation for Transparency in AI Now.
Every Friday, TCAI brings you the nation’s most comprehensive update of AI-related legislation moving through state legislatures. This week: Therapy chatbot bans are picking up speed. Maine sent a therapy bot ban to the governor, while Missouri is moving on a similar ban via an omnibus health ...
Florida launches investigation into OpenAI
The Florida Attorney General has initiated an investigation into OpenAI regarding safety and security concerns.
Watchdogs issued €1.15bn in fines in 2025, European Data Protection Board report says
The European Data Protection Board reported that national watchdogs issued €1.15 billion in fines in 2025, with 414 cross-border cases registered under the One-Stop-Shop mechanism.
The shift to containment in modern AI cybersecurity
The shift to containment in modern AI cybersecurity # The shift to containment in modern AI cybersecurity - Whitepaper - April 9, 2026 - 8:00 am - Eve Goode ISJ hears exclusively from Trevor Dearing, Director of Critical Infrastructure at Illumio. The European Parliament recently announced that it was disabling the AI features on tablets it provides to lawmakers. Tools such as writing aids and virtual assistants were blocked due to AI using cloud services to perform tasks that could be handled locally, sending data off the device. As stated by the Parliament’s cybersecurity and personal data protection teams, it was assessing the full extent of the data shared with service prov
Technology & Infrastructure
AI chip demand tightens ABF substrate supply, three-year upcycle in sight
AI chip demand tightens ABF substrate supply, three-year upcycle in sight REALTIME NEWS # AI chip demand tightens ABF substrate supply, three-year upcycle in sight IC substrates shift from oversupply to a three-year “super expansion” cycle. Credit: DIGITIMES As AI CPUs, GPUs, and application-specific integrated circuits (ASICs) advance to new generations, they are driving a sharp increase in both substrate size and layer counts. Simultaneously, supply constraints across upstream materials — including... The article requires paid subscription. Subscribe Now LOGIN Email address Password Keep me signed in Some subscribers prefer to save their log-in information so they do not have to enter their User ID and Password each time they visit the site. To activate this function, check the 'Keep me signed in' box in the log-in section. This will sav
Oracle ramps AI infrastructure spending, supply chain expands to meet surging customer orders
Oracle's surge in AI infrastructure spending is prompting global supply chains to expand capacity, with partners ramping factories in Taiwan, Vietnam and the US to serve hyperscale cloud clients. The move signals sustained order growth, shifts manufacturing... The article requires paid subscription. Subscribe Now ... Select premium stories & daily editor picks. Leverage AI summaries for instant insights. Receive tech briefings & newsletters...
New study finds no link between rising electricity rates and AI data centers | National | thedesertreview.com
There is no measurable correlation between increasing electricity demand due to the rapidly increasing construction of new artificial intelligence (AI) data centers in multiple states and the rising costs in
Google taps Intel for another round of custom network chips • The Register
: Custom ASIC biz now running at a $1B annual pace for Intel
Microsoft hints at bit bunkers for war zones
President Brad Smith tells an interviewer that Microsoft is reconsidering datacenter design in light of the Iran war.
Fact Check Team: AI data centers spark local backlash across the US
As AI technology surges across the country, it’s not just chatbots drawing attention.
New technique makes AI models leaner and faster while they’re still learning
MIT researchers have developed a new method to optimize AI models, making them more efficient during the training process.
Mythos autonomously exploited vulnerabilities that survived 27 years of human review. Security teams need a new detection playbook
A 27-year-old bug sat inside OpenBSD’s TCP stack while auditors reviewed the code, fuzzers ran against it, and the operating system earned its reputation as one of the most security-hardened platforms on earth. Two packets could crash any server running it. Finding that bug cost a single Anthropic discovery campaign approximately $20,000. The specific model run that surfaced the flaw cost under $50. Anthropic’s Claude Mythos Preview found it. Autonomously. No human guided the discovery after the initial prompt. The capability jump is not incremental On Firefox 147 exploit writing, Mythos succeeded 181 times versus 2 for Claude Opus 4.6. A 90x improvement in a single generation. SWE-bench Pro: 77.8% versus 53.4%. CyberGym vulnerability reproduction: 83.1% versus 66.6%. Mythos saturated Anthropic’s Cybench CTF at 100%, forcing the red team to shift to real-world zero-day discovery as the only meaningful evaluation left. Then it surfaced thousands of zero-day vulnerabilities across every major operating system and every major browser, many one to two decades old. Anthropic engineers with no formal security training asked Mythos to find remote code execution vulnerabilities overnight and woke up to a complete, working exploit by morning, according to Anthropic’s red team assessment. Anthropic assembled Project Glasswing, a 12-partner defensive coalition including CrowdStrike, Cisco, Palo Alto Networks, Microsoft, AWS, Apple, and the Linux Foundation, backed by $100 million in usage credits and $4 million in open-source grants. Over 40 additional organizations that build or maintain critical software infrastructure also received access. The partners have been running Mythos against their own infrastructure for weeks. Anthropic committed to a public findings report “within 90 days,” landing in early July 2026. Security directors got the announcement. They didn’t get the playbook. “I’ve been in this industry for 27 years,” Cisco SVP and Chief Security and Trust Officer Anthony Grieco told VentureBeat in an exclusive interview at RSAC 2026. “I have never been more optimistic for what we can do to change security because of the velocity. It’s also a little bit terrifying because we’re moving so quickly. It’s also terrifying because our adversaries have this capability as well, and so frankly, we must move this quickly.” Security directors saw this story told fifteen different ways this week, including VentureBeat’s exclusive interview with Anthropic’s Newton Cheng. As one widely shared X post summarizing the Mythos findings noted, the model cracked cryptography libraries, broke into a production virtual machine monitor, and gave engineers with zero security training working exploits by morning. What that coverage left unanswered: Where does the detection ceiling sit in the methods they already run, and what should they change before July? Seven vulnerability classes that show where every detection method hits its ceiling OpenBSD TCP SACK, 27 years old. Two crafted packets crash any server. SAST, fuzzers, and auditors missed a logic flaw requiring semantic reasoning about how TCP options interact under adversarial conditions. Campaign cost ~$20,000. Anthropic notes the $50 per-run figure reflects hindsight. FFmpeg H.264 codec, 16 years old. Fuzzers exercised the vulnerable code path 5 million times without triggering the flaw, according to Anthropic. Mythos caught it by reasoning about code semantics. Campaign cost ~$10,000. FreeBSD NFS remote code execution, CVE-2026-4747, 17 years old. Unauthenticated root from the internet, per Anthropic’s assessment and independent reproduction. Mythos built a 20-gadget ROP chain split across multiple packets. Fully autonomous. Linux kernel local privilege escalation. Mythos chained two to four low-severity vulnerabilities into full local privilege escalation via race conditions and KASLR bypasses. CSA’s Rich Mogull noted Mythos failed at remote kernel exploitation but succeeded locally. No automated tool chains vulnerabilities today. Browser zero-days across every major browser. Thousands identified. Some required human-model collaboration. In one case, Mythos chained four vulnerabilities into a JIT heap spray, escaping both the renderer and the OS sandboxes. Firefox 147: 181 working exploits versus two for Opus 4.6. Cryptography library vulnerabilities (TLS, AES-GCM, SSH). Implementation flaws enabling certificate forgery or decryption of encrypted communications, per Anthropic’s red team blog and Help Net Security. A critical Botan library certificate bypass was disclosed the same day as the Glasswing announcement. Bugs in the code that implements the math. Not attacks on the math itself. Virtual machine monitor guest-to-host escape. Guest-to-host memory corruption in a production VMM, the technology keeping cloud workloads from seeing each other’s data. Cloud security architectures assume workload isolation holds. This finding breaks that assumption. Nicholas Carlini, in Anthropic’s launch briefing: “I’ve found more bugs in the last couple of weeks than I found in the rest of my life combined.” VentureBeat's prescriptive matrix Vulnerability Class Why Current Methods Miss It What Mythos Does Security Director Action OS kernel logic (OpenBSD 27yr, Linux 2-4 chain) SAST lacks semantic reasoning. Fuzzers miss logic flaws. Pen testers time-boxed. Bounties scope-exclude kernel. Chains 2-4 low-severity findings into local priv-esc. ~$20K campaign. Add AI-assisted kernel review to pen test RFPs. Expand bounty scope. Request Glasswing findings from OS vendors before July. Re-score clustered findings by chainability. Media codec (FFmpeg 16yr H.264) SAST unflagged. Fuzzers hit path 5M times, never triggered. Reasons about semantics beyond brute-force. ~$10K campaign. Inventory FFmpeg, libwebp, ImageMagick, libpng. Stop treating fuzz coverage as security proxy. Track Glasswing codec CVEs from July. Network stack RCE (FreeBSD 17yr, CVE-2026-4747) DAST limited at protocol depth. Pen tests skip NFS. Full autonomous chain to unauthenticated root. 20-gadget ROP chain. Patch CVE-2026-4747 now. Inventory NFS/SMB/RPC services. Add protocol fuzzing to 2026 cycle. Multi-vuln chaining (2-4 sequenced, local) No tool chains. Pen testers hours-limited. CVSS scores in isolation. Autonomous local chaining via race conditions + KASLR bypass. Require AI-assisted chaining in pen test methodology. Build chainability scoring. Budget AI red teams for 2026. Browser zero-days (thousands, 181 Firefox exploits) Bounties + continuous fuzzing missed thousands. Some required human-model collaboration. 90x over Opus 4.6. Chained 4 vulns into JIT heap spray escaping renderer + OS sandbox. Shorten patch SLA to 72hr critical. Pre-stage pipeline for July cycle. Pressure vendors for Glasswing timelines. Crypto libraries (TLS, AES-GCM, SSH, Botan bypass) SAST limited on crypto logic. Pen testers rarely audit crypto depth. Formal verification not standard. Found cert forgery + decryption flaws in battle-tested libraries. Audit all crypto library versions now. Track Glasswing crypto CVEs from July. Accelerate PQC migration. VMM / hypervisor (guest-to-host memory corruption) Cloud security assumes isolation. Few pen tests target hypervisor. Bounties rarely scope VMM. Guest-to-host escape in production VMM. Inventory hypervisor/VMM versions. Request Glasswing findings from cloud providers. Reassess multi-tenant isolation assumptions. Attackers are faster. Defenders are patching once a year. The CrowdStrike 2026 Global Threat Report documents a 29-minute average eCrime breakout time, 65% faster than 2024, with an 89% year-over-year surge in AI-augmented attacks. CrowdStrike CTO Elia Zaitsev put the operational reality plainly in an exclusive interview with VentureBeat. “Adversaries leveraging agentic AI can perform those attacks at such a great speed that a traditional human process of look at alert, triage, investigate for 15 to 20 minutes, take an action an hour, a day, a week later, it’s insufficient,” Zaitsev said. A $20,000 Mythos discovery campaign that runs in hours replaces months of nation-state research effort. CrowdStrike CEO George Kurtz reinforced that timeline pressure on LinkedIn the same day as the Glasswing announcement. "AI is creating the largest security demand driver since enterprises moved to the cloud," Kurtz wrote. The regulatory clock compounds the operational one. The EU AI Act's next enforcement phase takes effect August 2, 2026, imposing automated audit trails, cybersecurity requirements for every high-risk AI system, incident reporting obligations, and penalties up to 3% of global revenue. Security directors face a two-wave sequence: July's Glasswing disclosure cycle, then August's compliance deadline. Mike Riemer, Field CISO at Ivanti and a 25-year US Air Force veteran who works closely with federal cybersecurity agencies, told VentureBeat what he is hearing from the government. “Threat actors are reverse engineering patches, and the speed at which they’re doing it has been enhanced greatly by AI,” Riemer said. “They’re able to reverse engineer a patch within 72 hours. So if I release a patch and a customer doesn’t patch within 72 hours of that release, they’re open to exploit.” Riemer was blunt about where that leaves the industry. “They are so far in front of us as defenders,” he said. Grieco confirmed the other side of that collision at RSAC 2026. “If you talk to an operational team and many of our customers, they’re only patching once a year,” Grieco told VentureBeat. “And frankly, even in the best of circumstances, that is not fast enough.” CSA’s Mogull makes the structural case that defenders hold the long-term advantage: fix a vulnerability once and every deployment benefits. But the transition period, when attackers reverse-engineer patches in 72 hours and defenders patch once a year, favors offense. Mythos is not the only model finding these bugs. Researchers at AISLE, an AI cybersecurity startup, tested Anthropic's showcase vulnerabilities on small, open-weights models and found that eight out of eight detected the FreeBSD exploit. AISLE says one model had only 3.6 billion parameters and costs 11 cents per million tokens, and that a 5.1-billion-parameter open model recovered the core analysis chain of the 27-year-old OpenBSD bug. AISLE's conclusion: "The moat in AI cybersecurity is the system, not the model." That makes the detection ceiling a structural problem, not a Mythos-specific one. Cheap models find the same bugs. The July timeline gets shorter, not longer. Over 99% of the vulnerabilities Mythos has identified have not yet been patched, per Anthropic’s red team blog. The public Glasswing report lands in early July 2026. It will trigger a high-volume patch cycle across operating systems, browsers, cryptography libraries, and major infrastructure software. Security directors who have not expanded their patch pipeline, re-scoped their bug bounty programs, and built chainability scoring by then will absorb that wave cold. July is not a disclosure event. It is a patch tsunami. What to tell the board Every security director tells the board “we have scanned everything.” Merritt Baer, CSO at Enkrypt AI and former Deputy CISO at AWS, told VentureBeat that the statement does not survive Mythos without a qualifier. “What security leaders actually mean is: we have exhaustively scanned for what our tools know how to see,” Baer said in an exclusive interview with VentureBeat. “That’s a very different claim.” Baer proposed reframing residual risk for boards around three tiers: known-knowns (vulnerability classes your stack reliably detects), known-unknowns (classes you know exist but your tools only partially cover, like stateful logic flaws and auth boundary confusion), and unknown-unknowns (vulnerabilities that emerge from composition, how safe components interact in unsafe ways). “This is where Mythos is landing,” Baer said. The board-level statement Baer recommends: “We have high confidence in detecting discrete, known vulnerability classes. Our residual risk is concentrated in cross-function, multi-step, and compositional flaws that evade single-point scanners. We are actively investing in capabilities that raise that detection ceiling.” On chainability, Baer was equally direct. “Chainability has to become a first-class scoring dimension,” she said. “CVSS was built to score atomic vulnerabilities. Mythos is exposing that risk is increasingly graph-shaped, not point-in-time.” Baer outlined three shifts security programs need to make: from severity scoring to exploitability pathways, from vulnerability lists to vulnerability graphs that model relationships across identity, data flow, and permissions, and from remediation SLAs to path disruption, where fixing any node that breaks the chain gets priority over fixing the highest individual CVSS. “Mythos isn’t just finding missed bugs,” Baer said. “It’s invalidating the assumption that vulnerabilities are independent. Security programs that don’t adapt, from coverage thinking to interaction thinking, will keep reporting green dashboards while sitting on red attack paths.” VentureBeat will update this story with additional operational details from Glasswing's founding partners as interviews are completed.
South Korea begins nationwide AI data census to unlock public datasets
South Korea's science ministry has launched the first government-wide census of AI training data to secure a steady pipeline of high-quality inputs for AI development.
The hidden high cost of training AI on AI
When companies train AI on AI-generated content, model performance degrades with every cycle. The bill for that mistake is already coming due.
Why AI Is Training on Its Own Garbage (and How to Fix It)
Deep Web data is a valuable resource that remains largely untapped for AI training.
Adoption & Impact
White-collar industries bet on a secret weapon against AI: trust
Executives across finance and cyber defence map where Anthropic’s Claude ‘plug-ins’ will — and will not — change work
Asian start-ups evolve to reshape industries with AI
Entrepreneurs focus on improving established sectors including logistics, manufacturing and healthcare
Health - The Washington Post
Top health officials point to AI as the solution for dying hospitals, but experts from rural areas of the country say the solution isn’t that simple.
AI-as-a-service vs lab-as-a-service: What’s the difference and how they are changing AI adoption - The Economic Times
Businesses are now deciding whether to buy AI tools or build custom systems. AI-as-a-service offers quick solutions for simple tasks. Lab-as-a-service provides embedded teams for complex, tailored AI. This shift is crucial for high-trust, domain-specific AI applications.
Norwegian Kilter secures €6.5 million to expand autonomous weeding technology globally
– Advertisement – Norwegian agtech company Kilter has raised €6.5 million in new financing in a strategic round that includes a lead investment from Japanese agricultural machinery group Kubota Corporation alongside continued participation from existing shareholders such as Pymwymic, SBG Invest, and Nufarm. The company, which develops autonomous precision weeding and spraying systems for row […]
Microsoft and Publicis Groupe expand AI marketing partnership, deploy Copilot tools to 114,000 Publicis employees
Microsoft and Publicis Groupe expand AI marketing partnership, deploy Copilot tools to 114,000 Publicis employees Back to: All AI News # Microsoft and Publicis Groupe expand AI marketing partnership, deploy Copilot tools to 114,000 Publicis employees Microsoft and Publicis Groupe expanded their partnership April 8 to build an AI-powered marketing platform combining Azure, Copilot tools, and Epsilon's identity data. Publicis is also deploying Microsoft 365 Copilot across its 114,000+ employees. Categorized in: AI News Marketing Published on: Apr 09, 2026 Become an AI Expert today ## Microsoft and Publicis Groupe Expand Partnership to Build AI-Powered Marketing Platform Microsoft and Publicis Groupe announced an expansio
Experts to advise on AI-automated contract templates sought by EU Commission
The European Commission is seeking an expert group to develop model contract terms and guidance for AI-driven automated contracts, focusing on legal validity and liability for SMEs.
The Wharton Blueprint for AI Agent Adoption - Knowledge at Wharton
The Wharton Blueprint for AI Agent Adoption - Knowledge at Wharton This content is password protected. To view it please enter your password below: Password: ###### SPONSORED CONTENT ## Looking for more insights? Sign up to stay informed about our latest article releases. Name Email How often would you like to receive newsletters? Get the latest from Knowledge at Wharton every week Get a roundup of the best content from Knowledge at Wharton once a month Subscribe
Trelleborg Sealing Solutions in India Breaks Ground on Expanded New Manufacturing Facility in Bengaluru | RoboticsTomorrow
The facility campus spans 50,000 square meters/540,000 square feet and is scheduled for completion in 2027. It brings together comprehensive manufacturing capabilities, R&D with extensive testing facilities, application engineering support, the Customer Solutions Center, supply chain center ...
Beyond LLMs: Why industrial AI Is India's real AI opportunity?
We will need smart factories that use self-correcting, AI-driven infrastructure. Technology to make this happen exists today. Industrial AI is the real AI opportunity.
AI, Leadership, and Digital Sovereignty Reshape IT Priorities at Info-Tech IGNITE 2026 in Chicago and Vancouver | Morningstar
Featured Sessions at Info-Tech ... advances in AI and emerging technologies into measurable outcomes. Attendees will gain practical insight into applying Exponential IT concepts, advancing AI adoption, and building workforce adaptability to sustain performan...
AI is jagged, but I think sometimes it is easy to overly focus on that. The generalness is a surprise too! LLMs may be optimized for verifiable fields like coding, but AI is also not bad at corporate strategy & medical advice & writing a sestina & expressing empathy & ideation.
AI is jagged, but I think sometimes it is easy to overly focus on that. The generalness is a surprise too! LLMs may be optimized for verifiable fields like coding, but AI is also not bad at corporate strategy & medical advice & writing a sestina & expressing empathy & ideation.
From Isolated Alerts To Contextual Intelligence: Agentic Maritime Anomaly Analysis with Generative AI
An AWS case study detailing how generative AI and agentic systems are being used to automate maritime anomaly detection and improve contextual reasoning.
Geopolitics
AI & Tech Brief: The power of Mythos - The Washington Post
The geopolitical and national security consequences of Anthropic’s new model.
The Geopolitical Implications of the Looming AI Bubble
Global artificial intelligence market faces growing risks as heavy investments, geopolitical rivalry, and uncertain profits raise concerns of a looming AI bubble.
France's Top 10 AI Companies in 2026: Mistral AI Leads Europe's Generative Surge Amid National Push
PARIS — France has solidified its position as Europe's leading artificial intelligence hub in 2026, with more than 750 AI-focused companies driving innovation in foundational models, healthcare, enterprise platforms and defense applications. Backed by massive government investment under the France
Iran's Attacks on UAE, Saudi Arabia, and Qatar Were the First War Against AI
The Iran war has revealed the geopolitical miscalculations of the current tech race.
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