Heather Adkins - Ꜻ - Spes consilium non est

6.5K posts

Heather Adkins - Ꜻ - Spes consilium non est

Heather Adkins - Ꜻ - Spes consilium non est

@argvee

VP Security @Google, Co-Author "Building Secure and Reliable Systems" @r00t0wns, Medieval Historian

California Katılım Temmuz 2008
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Heather Adkins - Ꜻ - Spes consilium non est
Really enjoying the new series of University Challenge. My guess is that Imperial goes far. Great team, but I nearly spilled my drink when you put a definite article in front of Magna Carta @amolrajan. Couldn’t you fix that in post????
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Halvar Flake
Halvar Flake@halvarflake·
For 26 years I've been a fervent pro European only to watch my home continent adopt a dual head-in-sand-and-in-the-clouds strategy on digitization, use of force, economies of scale, etc -- and I'm really tired of Europe failing.
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CSOonline
CSOonline@CSOonline·
Adobe premieres a second Patch Tuesday each month to deliver fixes faster spr.ly/6013BDAVSx
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Trail of Bits
Trail of Bits@trailofbits·
We launched Patch the Planet with OpenAI, factored hundreds of weak RSA keys with a new polynomial technique, and bypassed every AI skill scanner we tested. Plus 10 new public reviews, gosentry, and more. June Tribune: mailchi.mp/trailofbits/ju…
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Heather Adkins - Ꜻ - Spes consilium non est
Incredible progress
Afshine Emrani MD FACC@afshineemrani

I'm a cardiologist. NPR reported this morning on something that could save more lives than any drug I've ever prescribed. One blood test. One vial. Screening for 50 different cancers simultaneously. It's called Galleri. And the FDA could approve it later this year. Right now, we routinely screen for exactly five cancers in the United States — breast, colon, cervical, prostate, and lung. Each requires its own separate scan or exam. For the rest — pancreatic cancer, ovarian cancer, liver cancer, esophageal cancer, gastric cancer, and dozens more — we have no routine screening at all. We find them when symptoms appear. By then, most are Stage 3 or 4. By then, for many patients, it's too late. Pancreatic cancer has a 12% five-year survival rate — because we almost always catch it late. Ovarian cancer: 50%. Liver cancer: 21%. These numbers aren't medical failures. They're detection failures. The treatments exist. We just find the disease after the window for those treatments has closed. Galleri changes the math entirely. Here's how it works. Every tumor — no matter where it is in your body — sheds tiny fragments of DNA into your bloodstream as cancer cells die and divide. These fragments carry specific methylation patterns — chemical signatures that are unique to cancer cells and different from the DNA your healthy cells release. Galleri captures these fragments from a standard blood draw and reads their methylation patterns using next-generation sequencing and AI-driven analysis. The AI doesn't just detect whether cancer is present. It predicts where it's coming from — which organ, which tissue type — with over 90% accuracy in studies. One vial of blood tells your doctor: there's a cancer signal, and it's likely originating in your pancreas, or your lung, or your liver. Your physician then orders targeted follow-up imaging to confirm or rule out the finding. Galleri isn't a diagnosis. It's a precision compass that tells your doctor exactly where to look. The data is building fast. GRAIL has now sold over 475,000 Galleri tests commercially under a special FDA designation. The NHS-Galleri trial — the largest randomized controlled trial of any multi-cancer detection test in history — enrolled over 142,000 people aged 50-77 in England. The primary endpoint — an overall reduction in late-stage cancers — was not met. But by the third year of annual screening, they found a 26% reduction in Stage IV cancers in key deadly types including pancreatic, liver, lung, and gastric. The test detected four times more cancers overall when added to standard screening — catching cancers that would otherwise have been found late or not at all. The U.S. Pathfinder 2 study — 25,490 participants — showed similar positive signals and forms the basis of the FDA submission filed in January 2026. Congress has already acted. The Nancy Gardner Sewell Medicare Multi-Cancer Early Detection Screening Coverage Act passed in February. If the FDA approves Galleri, Medicare will begin covering one test per year starting in 2028. The current retail price is $950. Exact Sciences' competing test Cancerguard is $659. These prices will fall dramatically once FDA approval triggers insurance coverage and competition scales. As a cardiologist, let me tell you why this matters far beyond oncology. Cancer is now the number one killer of Americans over 50. Not heart disease. Cancer. And the patients I lose to cancer are often the same patients whose hearts I saved — patients who survived their cardiac event, optimized their metabolic health, and then received a late-stage cancer diagnosis that nobody screened for because no screening tool existed. I've written on this platform about GLP-1 drugs reducing cancer metastasis by up to 50%. About personalized mRNA cancer vaccines cutting recurrence by 49%. About inflammation as the common root of heart disease and cancer. About AI detecting disease years before symptoms. Galleri is the missing piece that connects all of it. Detect the cancer early — with a blood test. Confirm it with AI-enhanced imaging. Treat it with personalized mRNA vaccines, targeted therapy, and GLP-1 drugs that may slow progression. Monitor response with liquid biopsy in real time. That's not five separate breakthroughs. That's one integrated system of cancer prevention and treatment that didn't exist five years ago — and could be standard of care within five more. The shift from reactive to proactive medicine — from "we found it too late" to "we caught it in time" — has been the central theme of everything I've written on this platform. Preventive cardiology. Advanced lipid testing. Inflammation detection. AI imaging. Gene editing. Galleri applies the same principle to cancer. And it could save more lives than all of them combined. One blood test. Fifty cancers. FDA decision expected this year. Prevention is the new cure. And the science just took its biggest step yet. open.substack.com/pub/afshine/p/…

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Heather Adkins - Ꜻ - Spes consilium non est
PQC migration requires a coordinated, global effort, & will take resources. We will also need to stay vigilant for further accelerations that warrant even faster efforts. We look forward to working closely alongside the US Govt & industry partners to secure our digital future.
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Heather Adkins - Ꜻ - Spes consilium non est
As a pioneer in both quantum computing & PQC, Google has a responsibility to lead by example. It’s why we’ve called for urgency, shared our 2029 timeline for Google’s PQC migration, continue to advance PQC across the web, mobile & cloud, & publish research.
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The White House’s new Executive Order is an important step forward to help accelerate the migration to Post-Quantum Cryptography (PQC). It drives society-wide momentum—in federal agencies but also for securing critical infrastructure like energy, telecom, and healthcare. We highly welcome this focus. 🧵 whitehouse.gov/presidential-a…
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Heather Adkins - Ꜻ - Spes consilium non est retweetledi
International Cyber Digest
International Cyber Digest@IntCyberDigest·
‼️ Just in: FortiBleed attackers rented 36 enterprise GPUs from an AI cloud provider to crack stolen FortiGate configuration hashes at industrial scale. Cheap, on-demand GPU compute has quietly made mass password cracking easy, while tens of thousands of organisations still run VPN firewalls with no MFA. The threat is now less likely a nation-state and more like a financially motivated crew with a credit card and rented hardware in the cloud. A write-up by Kevin Beaumont shines a light on the campaign that cracked credentials for tens of thousands of Fortinet firewalls. He disputes Fortinet's public line that the data is just old breaches and bruteforcing, noting it contains freshly cracked passwords and that every organisation he helped had its config exported in the past month. In those cases the attacker went well beyond collecting credentials, adding admin accounts, opening SSH and RDP firewall rules, and logging into IPsec tunnels, with CloudSEK assessing around a thousand organisations breached internally and the attacker reaching internal Active Directory at a number of telcos and managed service providers.
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Rob T. Lee
Rob T. Lee@robtlee·
Monday’s @Google Threat Intelligence report got a fraction of the attention it earned. Call it Salt Typhoon Jr.: a PRC-linked group sat inside North American military research and medical networks for more than a year, undetected, and walked out with the research that decides who wins the next decade. It was easy to miss under the flood of Mythos, Fable, and zero-days-for-days coverage. (Which tells you we still rank threats by how frightening they sound to a general audience, not by what they cost national security.) GTIG tracks the group as UNC6508. Their collection list reads like a tasking order: nearly 150 keywords spanning: Defense intelligence Indo-Pacific operations Artificial intelligence (AI) Uncrewed systems Cyber offensive programs Medical research This was public-health surveillance running inside a military espionage campaign, out of the same institutions, on the same wire. The attackers used a Google Workspace content-compliance rule to silently BCC matching emails to a Gmail account they controlled. Any operator can copy that playbook tomorrow against every university, hospital, and defense contractor running Workspace. This is a clean test case for the question I get in CISO rooms: where would AI have helped the defenders? 1. Admin control-plane monitoring. A brand-new rule that BCC-forwards sensitive mail to a consumer Gmail account should trip an alert the day it is created. That is pattern-spotting across thousands of admin events, which is what a model is good for. 2. Cross-victim correlation. The same campaign hit multiple organizations at once, and each intrusion looked isolated because nobody had visibility across all of them. Correlation across organizations, identity providers, and SaaS logs could have surfaced the pattern months earlier. 3. Behavioral EDR over the dwell window. INFINITERED sat on the REDCap server for more than a year, harvesting credentials, before the attackers used them to pivot into the internal network. That is a long baseline, long enough for behavior-based detection to flag a novel dropper and its callbacks even on malware nobody had seen before. (In theory. In practice, most shops never tuned the baseline.) Where AI would not have helped? What should you do this week? Read here: robtlee73.substack.com/p/salt-typhoon…
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Royal Hansen
Royal Hansen@royalhansen·
This, along with Long Beach, is my favorite airport - classic architecture and small
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POLITICO
POLITICO@politico·
OpenAI says China launched influence campaign to shape US attitudes on AI data centers dlvr.it/TSzRDc
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