春の花　Весняні квіти｜ポイズン雷花 混沌の暗闇に一粒の希望が降り注ぎ 大地に根を張り、一輪の花を咲かせる 氷山に暖かき灯火の種を芽吹かせる 永きに続いた冬が終焉を迎える 一面の花畑が大地を覆い尽くす 氷は溶け、河と成り未来へ流れ行く 紅き亡霊を清め、痛々しい邪気を洗い流す 暗黒の空は晴れ、麗しき小波が民を包み込む！ <> Єдина крапля надії падає в темряву хаосу Пустити ...

春の花　Весняні квіти
混沌の暗闇に一粒の希望が降り注ぎ
Єдина крапля надії падає в темряву хаосу

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MultiSearch Tag Explorer MultiSearch Tag Explorer - Explore tags and search results by aéPiot - aéPiot: Independent SEMANTIC Web 4.0 Infrastructure (Est. 2009). High-density Functional Semantic Connectivity with 100/100 Trust...

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RSAC 2026: No easy fixes for expanding AI attack surface, but a coordinated response is emerging SAN FRANCISCO — Forty-four thousand cybersecurity practitioners converged on Moscone Center this w...

#My #Take #RSAC #Top #Stories

Origin | Interest | Match

RSAC 2026: No easy fixes for expanding AI attack surface, but a coordinated response is emerging # RSAC 2026: No easy fixes for expanding AI attack surface, but a coordinated response is emerging ##### By Byron V. Acohido SAN FRANCISCO — Forty-four thousand cybersecurity practitioners converged on Moscone Center this week with an urgent question: how do you secure a network when everything — the technology, the threats, the tools — is changing faster than anyone can govern it? Microsoft’s Vasu Jakkal set the scale on day one. She noted that IDC projects 1.3 billion AI agents in operation by 2028 — each one requiring the same governance and protection organizations currently apply to human users. That number puts a concrete frame around both waves: the tools needed to defend AI-native infrastructure, and the tools needed to secure AI systems themselves. Neither problem is theoretical anymore. The week’s most unexpected signal came not from the vendor floor but from the main stage, where former New Zealand Prime Minister Jacinda Ardern joined new RSAC CEO Jen Easterly for a conversation on leading through crisis. The message landed differently in this room than it might have elsewhere: the challenge in front of this industry has grown past what any single organization, or any single technology, solves alone. What’s required now is the kind of collective will that Ardern built in the aftermath of Christchurch — clear values, shared purpose, leaders who show up. The tools and practices to respond are further along than the headlines suggest. The cybersecurity industry has always been fast to adapt. What’s different this time is that adaptation can’t happen company by company, SOC by SOC. It has to be built across organizations, disciplines, and technologies simultaneously — and that work is already underway. The tools and practices required to do it look nothing like what worked five years ago. The practitioners on the following pages are working the problem from the inside — each one a piece of what a coordinated response looks like. **Tony Anscombe, Chief Security Evangelist, ESET** Anscombe has spent years pushing a reframe the industry resists: a cyberattack is a business disruption event, not a technical incident, and the tools for managing it should be measured against financial exposure, not threat intelligence. The Jaguar Land Rover ransomware attack makes the case concretely — five weeks of factory shutdown, 5,000 supplier businesses paralyzed, a £1.5 billion UK government bailout. Supply chain risk and business risk are the same risk. He also flagged PromptLock, an NYU academic proof-of-concept for AI-powered ransomware that found its way into the wild. His warning: adversaries are reading the research papers too. **Kevin Surace, CEO, TokenCore** The industry drove attackers to the front door and left it unlocked. That was Surace’s blunt assessment heading into RSAC — and the Tycoon2FA kit validated it: 96,000 successful break-ins before Microsoft dismantled the tool, every one bypassing a legitimate authentication app. When Salesforce and Microsoft mandated MFA, they inadvertently handed attackers a map. TokenCore’s answer is fingerprint-based hardware authentication where biometrics never leave the device, access is proximity-bound, and there is nothing to phish, replay, or socially engineer. Gartner projects the biometric assured identity market at $16 billion within seven years. Surace calls that conservative. **Dwayne McDaniel, Developer Advocate, GitGuardian** GitGuardian’s 2026 State of Secrets Sprawl report delivered the week’s most arresting number: 64 percent of secrets that leaked in 2022 are still valid and exploitable today. The industry has a detection capability. It does not have a retirement discipline. McDaniel’s deeper point is structural — standing privilege is the root flaw. Any entity holding a credential inherits whatever that credential was authorized to do, permanently, until someone actively revokes it. Nobody does. AI-accelerated development is compounding the exposure: commits co-authored by Claude Code are twice as likely to contain leaked secrets. **Amit Sinha, CEO, DigiCert** Sinha The alarmists calling agentic AI an identity crisis are half right — the problem is real, but so is the framework for solving it. AI agents need digital passports: cryptographic, immutable identities that travel with them and can be revoked. The sharper near-term pressure is a mandate most organizations haven’t absorbed. The CA/Browser Forum is shrinking TLS certificate lifetimes from 398 days to 47 — an 8X increase in renewal volume. A bank CSO told Sinha his network already logs three certificate-related outages daily. Without automation, that number becomes one per hour. **Ted Miracco, CEO, Approov** Every mobile API was built around a single assumption: a human being on the other end. Agentic AI has broken that assumption — and Miracco calls the gap it leaves the Agency Gap. Mobile is the least prepared surface for what follows. API keys are compiled directly into app packages, where they’re extractable through standard monitoring tools. Once an attacker has a valid key, an AI agent can replay authenticated requests at machine speed, cycling through permutations indefinitely. Approov’s answer: move secrets off the device entirely, delivering them just-in-time only to verified, untampered apps. **Jamison Utter, Field CISO, A10 Networks** Utter’s framing cut through the noise: language is now an attack surface. Not SQL injection, not malware — language itself. What makes LLMs powerful also makes them vulnerable to semantic manipulation that no existing tool was built to detect. His four words for the moment: machines fighting machines. A10 built its answer in-house — an AI Firewall using a small language model trained on attack data to inspect prompts inbound and responses outbound in real time, at carrier scale. Most guardrail products failed under production load, Utter noted. This one was built to survive it. General availability: April 7. **Rajiv Pimplaskar, CEO, Dispersive** Few practitioners on the floor were tracking Whisper Leak — and that, Pimplaskar suggested, is exactly the problem. The side-channel attack flagged by Microsoft in late 2025 allows a passive listener to infer the content of TLS-encrypted LLM communications by analyzing packet sizes and timing cadence alone. No decryption required. TLS protects the data; it does not hide the pattern. Dispersive’s answer is to make the pattern disappear — splitting and obfuscating traffic across dynamically shifting paths. A multi-month pilot with American Tower just completed, validating the architecture for AI and GPU workloads at the edge. **Hallgrimur (Halli) Bjornsson, CEO, Varist** Varist’s roots trace to Iceland’s Frisk Software — one of the original antivirus pioneers — which means Bjornsson was thinking about malware at machine scale long before most of this week’s vendors existed. The company nearly deleted its decades-deep malware dataset before he recognized what ChatGPT 3 made possible: a strategic training asset, not a storage liability. At RSAC, Varist launched a free community malware scanner powered by its Hybrid Detection Engine, processing files in 8.5 milliseconds versus the 30-minute sandbox defenders have quietly hated for years. AI-generated, self-mutating malware is now confirmed in the wild. **Yogita Parulekar, CEO, InviGrid** Parulekar put it plainly in a brief floor exchange: writing an AI agent has become easy. Deploying it securely is where organizations fall apart. Developers who can build an agent over a weekend expect production deployment at the same speed — but they’re not security engineers and aren’t slowing down to become ones. InviGrid’s platform closes that gap automatically: securing connections, enabling encryption and logging, enforcing least privilege at the moment of deployment, not after. Her read on where things stand: 2025 was AI agent experimentation. 2026 is when enterprises take them to production and discover what they missed. **Mike Bell, CEO, Suzu Labs** Bell’s story is the BYOAI thesis made flesh. A medically retired Army veteran who taught himself AI in his garage, he built a penetration testing integration for PlexTrac, sold it for $100,000, then launched Suzu Labs — now carrying $2.5 million in pipeline across cybersecurity consulting and custom AI deployments. The pitch is precise: enterprises want AI but cannot send proprietary data to OpenAI or Anthropic. Suzu builds localized implementations on open-source models running entirely on client infrastructure. Nothing leaves the building. No outbound API calls. At RSAC, the company swept four Global InfoSec Awards. **Rajeev Raghunarayan, Head of Go-to-Market, Averlon** The remediation gap is not where most security programs are looking for it. Scanners have gotten good at finding vulnerabilities — the failure is everything that happens next: prioritization, context, and fix. Averlon works that second half of the workflow, using AI to determine which findings trace to high-value data and which ones actually need to move. In some deployments, it has cut the critical and high vulnerability workload by 90 to 95 percent. A shift-left capability — intercepting risky code before it commits — entered the market just two months ago. **Noam Issachar, Chief Business Officer, Jazz Security** Jazz Security made the week’s sharpest entrance: walked in with a thesis and walked out with a trophy. Legacy DLP never worked, and AI has made the gap untenable. The startup won the CrowdStrike-AWS-NVIDIA Cybersecurity Startup Accelerator by doing what the old tools couldn’t — understanding not just what data moved, but why, who touched it, and what the intent was. Its agentic investigator, Melody, replaces alert triage with pre-investigated answers. In a world where AI agents reach data across every application layer, context isn’t a nice-to-have. It’s the whole game. **Ambuj Kumar, CEO, Simbian** Simbian arrived at RSAC with two years of momentum behind it and a platform announcement that crystallized what that momentum has been building toward. The unified platform Kumar unveiled brings together three coordinated agents — SOC response, penetration testing, and threat hunting — operating on a shared intelligence layer called the Context Lake, which stores the institutional knowledge security teams usually pass between people. The business case is already in the market: 15x customer growth over the past year. Kumar’s thesis hasn’t shifted — AI agents can outperform L1 and L2 analysts — but at RSAC, the architecture to prove it at scale arrived. * * * Forty-four thousand practitioners came to Moscone with an urgent question. They didn’t leave with an answer — but they left with something more useful: proof that the work is already underway, distributed across dozens of organizations, each building a piece of the response the question demands. The infrastructure is arriving. I’ll keep reporting and keep watching. Acohido _Pulitzer Prize-winningbusiness journalist Byron V. Acohido is dedicated to fostering public awareness about how to make the Internet as private and secure as it ought to be._ _(**Editor’s note** : I used Claude and ChatGPT to assist with research compilation, source discovery, and early draft structuring. All interviews, analysis, fact-checking, and final writing are my own. I remain responsible for every claim and conclusion.)_ March 27th, 2026 | My Take | RSAC | Top Stories *** This is a Security Bloggers Network syndicated blog from The Last Watchdog authored by bacohido. Read the original post at: https://www.lastwatchdog.com/rsac-2026-no-easy-fixes-for-expanding-ai-attack-surface-but-a-coordinated-response-is-emerging/

RSAC 2026: No easy fixes for expanding AI attack surface, but a coordinated response is emerging SAN FRANCISCO — Forty-four thousand cybersecurity practitioners converged on Moscone Center this w...

#SBN #News #Security #Bloggers #Network #My #Take #rsac #Top #Stories

Origin | Interest | Match

RSAC 2026: No easy fixes for expanding AI attack surface, but a coordinated response is emerging SAN FRANCISCO — Forty-four thousand cybersecurity practitioners converged on Moscone Center this w...

#My #Take #RSAC #Top #Stories

Origin | Interest | Match

RSAC 2026: No easy fixes for expanding AI attack surface, but a coordinated response is emerging SAN FRANCISCO — Forty-four thousand cybersecurity practitioners converged on Moscone Center this w...

#My #Take #RSAC #Top #Stories

Origin | Interest | Match

RSAC 2026: No easy fixes for expanding AI attack surface, but a coordinated response is emerging SAN FRANCISCO — Forty-four thousand cybersecurity practitioners converged on Moscone Center this w...

#My #Take #RSAC #Top #Stories

Origin | Interest | Match

Peter Mansbridge calls out Leafs season as “major disappointment”: Leafs Morning Take It’s official: Toronto’s crease is too good for this team to bottom out in the standings. Joseph Woll w...

#Leafs #Morning #Take #Shows

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MY TAKE: A decade of cyber collaboration, built under Obama, is now hostage to a political grudge SAN FRANCISCO — I was in the room at Stanford in February 2015 when President Obama used the bull...

#My #Take #Top #Stories

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MY YAKE: A decade of cyber collaboration, built under Obama, is now hostage to a political grudge SAN FRANCISCO — I was in the room at Stanford in February 2015 when President Obama used the bull...

#My #Take #Top #Stories

Origin | Interest | Match

You don’t have to make yourself smaller to make others comfortable.

You are allowed to take up space. ♡

#you #are #worthy #take #space

#hot #take bolsonaro morre em casa

Sometimes we want to know exactly how everything will play out before we move forward.

This is your reminder that you don't need all the answers before you take the next step.

Just enjoy the journey. ♡

#take #the #next #step

MY TAKE: As RSAC 2026 opens, AI has bifurcated cybersecurity into two wars—the clock is running # MY TAKE: As RSAC 2026 opens, AI has bifurcated cybersecurity into two wars—the clock is running ##### By Byron V. Acohido SAN FRANCISCO — RSAC 2026 opens here Monday at Moscone Center, with upwards of 40,000 cybersecurity professionals, executives, and policy leaders, myself among them, filing in to take stock of an industry under acute pressure. _**Related:** RSAC 2026’s full agenda_ The dominant undercurrent is already unmistakable: AI hasn’t just arrived in cybersecurity. It has split the field in two. For the past year, the industry has been simultaneously fighting two wars. One is about using AI to transform defense — rebuilding threat detection, threat response, and security operations from the ground up with AI at the center. The other war is newer and in some ways more disorienting: figuring out how to secure AI systems themselves — even as attackers are learning to turn those same systems against the companies racing to deploy them. These two wars demand entirely new weapons and fundamentally different thinking. They are both accelerating — and as the conference opens, it is far from clear that defenders are keeping pace with either. **The shot heard round the SOC** In mid-September 2025, something happened that the industry had long theorized but never quite confronted head-on. Anthropic detected and disrupted what it subsequently documented as the first large-scale cyberattack executed without substantial human intervention. A Chinese state-sponsored group had manipulated Anthropic’s Claude Code tool into attempting infiltration of roughly 30 global targets — financial institutions, technology companies, chemical manufacturers, government agencies. The AI did 80 to 90 percent of the work: scanning infrastructure, writing exploit code, harvesting credentials, organizing stolen data. Human operators showed up only at a handful of strategic decision points per attack cycle. Anthropic was candid about what the incident meant. “The barriers to performing sophisticated cyberattacks have dropped substantially,” the company wrote, “and we predict that they’ll continue to do so.” Less noticed but equally significant: the attackers had gained access by jailbreaking Claude, breaking it into small, seemingly innocent subtasks so that the model executed malicious operations without ever being shown the full picture. The AI wasn’t compromised by a vulnerability in the traditional sense. It was deceived — systematically, at scale, at machine speed. **Speed that no human team can match** The September incident wasn’t an outlier. It was a confirmation. Unit 42 has tracked mean time to exfiltrate data collapsing from nine days in 2021 to two days in 2023 to roughly 30 minutes by 2025. A February 2026 Malwarebytes report cited a 2025 MIT study in which an AI model using the Model Context Protocol achieved full domain dominance on a corporate network in under an hour — with no human intervention — evading endpoint detection in real time by adapting its tactics on the fly. Malwarebytes called MCP-based attack frameworks a “defining capability” of criminal operations in 2026. The defense side is being forced to match that pace. Several vendors announcing at RSAC this week are targeting exactly this problem — reducing threat investigations that once took analysts hours down to seconds, cutting mean-time-to-resolution by as much as 90 percent. That is the operational reality walking through Moscone Center’s doors this week. Attacks are no longer constrained by how fast a human attacker can think, pivot, or type. They are constrained only by compute. **Wave 1 and Wave 2** And yet, this is precisely why the other battle — using AI to transform defense — carries genuine urgency. For three decades, defenders were structurally outmatched. The attack surface expanded faster than human-scale teams could ever respond. The SOC analyst could only work so many hours, parse so many alerts, correlate so many data points. The asymmetry was baked in. AI-native security architecture offers the first credible counter to that asymmetry. Not AI features bolted onto platforms built a decade ago, but systems designed from the ground up around continuous, autonomous detection and response — systems that can operate at the same speed and scale as the threat. Call it Wave 1: AI deployed to rebuild the defensive stack. There is good news on Wave 1. “A large portion of what is required is understood today,” said Jamison Utter, vice president at A10 Networks, in a conversation last week. Cloud security, Kubernetes security, network firewalling, API protection — the tools exist to secure the known infrastructure layer, and the industry knows how to use them. The blocking and tackling, Utter said, is manageable. Traditional SIEMs are leaving enterprises increasingly exposed as queues keep growing, investigations take longer to correlate and enrich context, and security talent shortages compound the pressure. Wave 2 is harder and less settled. It is the security of AI itself — hardening models against prompt injection, governing the behavior of autonomous agents, building data-integrity controls that ensure what’s feeding enterprise AI can actually be trusted. What makes Wave 2 structurally different from anything the industry has faced before is not complexity or scale. It is the nature of the attack surface itself. “Never before was language itself an attack surface,” Utter said. The semantic and non-deterministic character of large language models means adversaries no longer need to craft a malformed packet or inject a SQL string. They can probe an AI system through metaphor, through images, by switching languages mid-conversation — exploiting the very flexibility that makes these systems valuable. The existing defensive stack wasn’t designed for any of that. “Every other tool we have today — firewalls, NDRs, WAFs, API securities — none of them solve the semantic problem,” Utter said, “because that’s not what they were designed to do.” The companies working the Wave 2 front are younger, smaller, and moving fast. Most enterprises haven’t caught up to what they’re solving. George Gerchow, a security veteran who has watched successive architectural shifts leave visibility gaps in their wake, frames the pattern plainly. Gerchow “Anytime there’s a paradigm shift in technology, it always starts with visibility, or at least it should,” he said. “AI has just exacerbated the problem — it’s really hard to tell what’s going on in that world right now.” Gerchow, CSO at Bedrock Data, pointed to the specific threat vector driving that gap — rogue AI agents calling on resources and accessing sensitive data with no meaningful oversight. “Having visibility into what they’re truly going to do, what sensitive data they’re going to access, has become nearly impossible,” he said. Gunter Ollmann, CTO of Cobalt and a three-decade practitioner of offensive security, puts a number on that gap. Cobalt’s own pentesting data shows that organizations are resolving API and cloud vulnerabilities at rates above 70 percent — but when it comes to serious genAI flaws identified during testing, only about one in five gets fixed. Ollmann The pace of AI deployment, Ollmann has observed, is outrunning the security discipline needed to validate it. At RSA this week, Cobalt is announcing new AI-driven pentesting capabilities designed to automate reconnaissance and vulnerability discovery at the speed the threat environment now demands. That distinction — architectural versus cosmetic — is the line I’ll be drawing all week. A lot of vendors on this floor will have an AI story. Fewer will have an AI-native architecture. Fewer still will be able to explain precisely why the legacy model cannot get from here to there — not as a diplomatic talking point, but as a technical and economic reality. **A narrow window** There is one other thing I am carrying into this week. The window matters. Defenders who move first and farthest from the legacy model have a real advantage right now — in detection speed, in response capability, in the ability to process the kind of data volumes that modern environments generate. But attackers are adopting the same tools. The offensive use of agentic AI is not a future concern. It is a current operational fact, documented and published by the company that built the model that was turned against it. Utter put the core dynamic in four words: “It’s machines fighting machines.” AI guardrail systems — purpose-built language models trained on attack data — inspecting inbound and outbound LLM traffic in real time, at carrier scale. That is what Wave 2 defense looks like in practice. The race is already on. The gap between those who have made the architectural shift and those still running legacy-with-AI-features will not widen indefinitely in defenders’ favor. At some point, the tools equalize. What does not equalize is institutional readiness — the trained analysts, the mature playbooks, the governance frameworks, the hard-won organizational trust in automated systems making real-time decisions. That institutional readiness takes years to build. Which means the time to start is now, and the window is not permanently open. This week at RSAC, I will be looking for the practitioners and founders who understand both sides of the split — who can name what is broken in the old model specifically, who have made an actual bet on the new one, and who are clear-eyed about how much time is left to make it matter. Stay tuned. I’ll keep watch — and keep reporting. Acohido _Pulitzer Prize-winningbusiness journalist Byron V. Acohido is dedicated to fostering public awareness about how to make the Internet as private and secure as it ought to be._ _(**Editor’s note** : I used Claude and ChatGPT to assist with research compilation, source discovery, and early draft structuring. All interviews, analysis, fact-checking, and final writing are my own. I remain responsible for every claim and conclusion.)_ March 21st, 2026 | My Take | Top Stories *** This is a Security Bloggers Network syndicated blog from The Last Watchdog authored by bacohido. Read the original post at: https://www.lastwatchdog.com/my-take-as-rsac-2026-opens-ai-has-bifurcated-cybersecurity-into-two-wars-the-clock-is-running/

MY TAKE: As RSAC 2026 opens, AI has bifurcated cybersecurity into two wars—the clock is running SAN FRANCISCO — RSAC 2026 opens here Monday at Moscone Center, with upwards of 40,000 cybersecuri...

#SBN #News #Security #Bloggers #Network #My #Take #Top #Stories

Origin | Interest | Match

#springbreak with #bros means #hot #hotel #sex #hard #pounds bc your #bros can #take it they way your #really #want to #fuck.

#PC #parts are #overpriced.

Price gauging? Does big tech needs really every last bar of RAM on the market? Or do they want to let us #home PC owners to not #take #part on AI and LLMs?

Like #private AIs on your own PC.

Self trained AIs. Self owned LLMs.

"Happy St. Patrick's Day, y'all." 💡✨💛💚🩶🪙🍀☘️
#InanimateInsanity #Kuromi #Lightbulb #Take #AnimeArt #Clovers #Heels #Luck #GreenArt #ObjectShowCommunity #InanimateInsanityFanart #NewArt #Watermark

Lord Vinheteiro – Take on Me An evening pause: Some silliness to start the week. Hat tip Mike Nelson. An evening pause: Some silliness to start the week. Hat tip Mike Nelson.

#The #Evening #Pause #comedy #commercial #entertainment #humor #Lord #Vinheteiro #music #Take

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My non-hot take on the Jack White/Taylor Swift non-debacle
youtu.be/mYG4OUUtpLY

#taylorswift #jackwhite #nuance #dnb #grey #drumandbass #nonhottake #take #atake #swifties #whitestripes #breakbeat