A market traditionally dominated by American gamers
For over a decade, the cellular cybersecurity market has been largely dominated by American corporations, benefiting from large advertising and marketing budgets and robust worldwide visibility.
For over a decade, the cellular cybersecurity market has been largely dominated by American corporations, benefiting from large advertising and marketing budgets and robust worldwide visibility.
I upgraded my react native from 0.75.2 to 0.79.1 to be able to repair the difficulty with the most recent Xcode replace. I adopted precisely every thing within the improve helper. After a protracted of attempting to run the app, I lastly obtained to know that I hade so as to add AppDelegate.swift file to the compile sources (as within the image)
Now, the issue I am getting appears to have one thing to do with javascript. my babel.config.js file is as follows:
module.exports = {
presets: ['module:@react-native/babel-preset'],
plugins: ['module:react-native-dotenv', 'react-native-reanimated/plugin'],
};
my bundle.json file is as follows:
{
"title": "lutfen",
"model": "0.0.1",
"personal": true,
"scripts": {
"android": "react-native run-android",
"ios": "react-native run-ios",
"lint": "eslint .",
"begin": "react-native begin",
"take a look at": "jest",
"postinstall": "patch-package"
},
"dependencies": {
"@gorhom/bottom-sheet": "^4.6.4",
"@os-team/i18next-react-native-language-detector": "^1.0.34",
"@react-native-async-storage/async-storage": "^2.0.0",
"@react-native-clipboard/clipboard": "^1.15.0",
"@react-native-community/blur": "newest",
"@react-navigation/bottom-tabs": "^6.6.1",
"@react-navigation/native": "^6.1.18",
"@react-navigation/native-stack": "^6.11.0",
"@reduxjs/toolkit": "^2.2.8",
"axios": "^1.7.7",
"i18next": "^23.16.5",
"react": "19.0.0",
"react-i18next": "^15.1.1",
"react-native": "0.79.1",
"react-native-fast-image": "^8.6.3",
"react-native-gesture-handler": "^2.20.0",
"react-native-linear-gradient": "^2.8.3",
"react-native-localize": "^3.4.1",
"react-native-reanimated": "^3.15.4",
"react-native-render-html": "^6.3.4",
"react-native-safe-area-context": "^5.4.0",
"react-native-screens": "^3.34.0",
"react-native-share": "^11.0.4",
"react-native-svg": "^15.11.2",
"react-native-webview": "^13.12.3",
"react-redux": "^9.1.2",
"redux": "^5.0.1"
},
"devDependencies": {
"@babel/core": "^7.25.2",
"@babel/preset-env": "^7.25.3",
"@babel/runtime": "^7.25.0",
"@react-native-community/cli": "18.0.0",
"@react-native-community/cli-platform-android": "18.0.0",
"@react-native-community/cli-platform-ios": "18.0.0",
"@react-native/babel-preset": "0.79.1",
"@react-native/eslint-config": "0.79.1",
"@react-native/metro-config": "0.79.1",
"@react-native/typescript-config": "0.79.1",
"@varieties/jest": "^29.5.13",
"@varieties/react": "^19.0.0",
"@varieties/react-test-renderer": "^19.0.0",
"eslint": "^8.19.0",
"jest": "^29.6.3",
"patch-package": "^8.0.0",
"postinstall-postinstall": "^2.1.0",
"prettier": "2.8.8",
"react-native-dotenv": "^3.4.11",
"react-native-svg-transformer": "^1.5.0",
"react-test-renderer": "19.0.0",
"typescript": "5.0.4"
},
"engines": {
"node": ">=18"
}
}
is there any approach I can monitor the error? I attempted to take away every thing and clear all of the caches and builds however the issue persist. Additionally, I’ve no details about the error (additionally not within the console). all I get is that this:
might you please give me any recommendation about the way to take care of this error?
The world’s cybersecurity group is gearing as much as meet on the RSAC™ 2025 Convention in San Francisco. I’m wanting ahead to reconnecting with outdated pals, making new ones, and discussing OT safety wants with industrial organizations. Make sure you cease by the Cisco sales space and say Hello!
We’ll be showcasing the most recent options of Industrial Menace Protection, Cisco’s complete and extremely modular OT safety answer. It makes use of the economic community as the material to simply allow OT visibility and coverage enforcement at scale. It’s a platform that unifies visibility throughout IT and OT domains to assist detect superior threats and orchestrate responses. Here’s a temporary overview of three new capabilities we’re demonstrating at RSAC.
1. Prioritizing OT Vulnerabilities with Menace Intelligence
Industrial networks have tens of 1000’s of linked property; some will be very outdated and plagued with software program vulnerabilities. Not all of them want patching, however operations and safety groups want steering to establish which of them do and which must be prioritized. Cyber Imaginative and prescient now makes use of risk intelligence from Cisco Vulnerability Administration to assist establish which OT asset vulnerabilities are actively exploited within the discipline, permitting industrial organizations to be extra strategic when addressing OT vulnerabilities and decreasing their assault floor.
2. Adaptive Industrial Zone Segmentation Utilizing Cisco Safe Firewall
Defending industrial operations by segmenting the community in small zones of belief is commonly difficult with out disrupting manufacturing. Cisco Cyber Imaginative and prescient now shares industrial asset teams created by the road of enterprise with Cisco Firewall Administration Heart. The plant firewall can implement insurance policies to guard operations with out impacting manufacturing. When OT groups modify teams in Cyber Imaginative and prescient, firewalls are mechanically knowledgeable in order that insurance policies will be adjusted in real-time to fulfill the wants of operations.
3. Unifying Safety Knowledge Throughout IT and OT to Higher Detect Threats
A siloed strategy is inefficient for industrial organizations to detect threats. With digitization, OT, IT, and cloud domains have gotten more and more interconnected. Safety groups want unified visibility throughout all domains to detect superior threats. Cyber Imaginative and prescient and Splunk already work collectively to supply a unified view on IT and OT safety occasions. Cyber Imaginative and prescient now additionally populates OT asset profiles into Splunk Asset and Threat Intelligence (ARI) to assist organizations preserve an aggregated stock of all property throughout IT and OT, streamlining investigations, uncovering compliance gaps, and higher managing dangers.
Cisco is devoted to empowering industrial organizations with sturdy cybersecurity options that meet the calls for of at the moment’s interconnected world. At RSAC 2025, we’re desirous to reveal how our newest capabilities can improve your safety posture and streamline operations. Don’t miss the chance to attach with our consultants and discover how Cisco’s revolutionary options can help your group’s journey towards stronger and more practical OT safety. Be a part of us in shaping a safe and sustainable digital future.
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The healthcare panorama as we knew it, like a number of different industries, has been basically reworked by synthetic intelligence over the previous couple of years. Whereas many debate the advantages and disadvantages of this variation – the expertise has been notably efficient in addressing one among medication’s most persistent challenges: clinician burnout.
As we witness this new period unfold, the mixing of Voice AI and related applied sciences like ambient scientific intelligence – our focus at Augnito as nicely – is proving to be revolutionary in restoring the human ingredient of care, whereas enhancing effectivity and accuracy in scientific administration, documentation, and different drivers of burnout.
The burnout epidemic amongst healthcare professionals stays a vital concern, although current information reveals promising enhancements. In line with the newest surveys, almost half of U.S. physicians nonetheless expertise some type of burnout, regardless of modest enhancements over the previous yr. This disaster has been exacerbated by overwhelming administrative burdens, with physicians spending between 34–55% of their workday compiling scientific documentation and reviewing digital medical data (EMRs). The implications prolong past clinician wellbeing to impression affected person care high quality, healthcare prices, and workforce retention.
The monetary implications are staggering too – doctor burnout prices healthcare techniques roughly $4.6 billion yearly in turnover bills alone. Extra regarding is the American Medical Affiliation’s projection of a scarcity of between 17,800-48,000 main care physicians by 2034, partially attributed to burnout-related attrition. These statistics spotlight the pressing want for revolutionary options that deal with the basis causes of clinician stress.
What’s notably troubling amidst all of that is the disproportionate allocation of physicians’ time. For each hour devoted to affected person care, clinicians usually spend almost twice that quantity on digital documentation and computer-based duties. This imbalance basically undermines the physician-patient relationship and diminishes the satisfaction that clinicians derive from their apply.
The journey from conventional medical transcription to in the present day’s refined AI assistants represents one among healthcare’s most vital technological leaps. My very own skilled path mirrors this evolution. After I based Scribetech at 19, offering transcription providers to the NHS, I witnessed firsthand how documentation burdens had been consuming clinicians’ time and vitality. These experiences formed my imaginative and prescient for Augnito – shifting past mere transcription to create clever techniques that actually perceive scientific context.
The Voice AI options we have developed mix automated speech recognition (ASR), pure language processing (NLP), and generative AI to remodel how clinicians doc care. Not like early transcription providers or fundamental speech recognition, in the present day’s scientific Voice AI understands medical terminology, acknowledges context, and integrates seamlessly with present workflows.
The technical developments have been exceptional. Now we’re seeing AI techniques that not solely transcribe with over 99% accuracy straight out of the field but in addition perceive the nuanced language of drugs throughout specialties. These techniques can distinguish between similar-sounding phrases, adapt to completely different accents and talking types, and even establish potential documentation gaps or inconsistencies.
Healthcare organizations now have entry to a classy array of AI instruments particularly designed to deal with burnout-inducing administrative burdens. Let’s look at probably the most impactful purposes reworking scientific workflows in the present day:
Ambient techniques characterize maybe probably the most vital breakthrough for decreasing documentation burden. These AI assistants passively hearken to clinician-patient conversations, mechanically producing structured scientific notes in real-time. The expertise has matured considerably, with current implementations demonstrating exceptional outcomes. Organizations implementing ambient AI techniques have reported burnout reductions of as much as 30% amongst collaborating clinicians.
Past fundamental transcription, these techniques now intelligently arrange info into applicable sections of the medical report, spotlight key scientific findings, and even counsel potential diagnoses or remedy choices based mostly on the dialog content material. This enables physicians to focus completely on the affected person throughout encounters, quite than splitting consideration between the affected person and documentation.
AI is more and more taking over advanced scientific workflow duties past documentation. Fashionable techniques can now:
The impression of those capabilities is substantial. Healthcare organizations implementing complete AI workflow options have reported productiveness will increase exceeding 40% in some environments. At Apollo Hospitals, the place Augnito’s options had been deployed, medical doctors saved a median of 44 hours month-to-month whereas rising general productiveness by 46% and producing a staggering ROI of 21X, inside simply six months of implementation.
The scientific go to itself represents solely a part of the documentation burden. AI is now addressing all the affected person journey by:
These capabilities considerably scale back cognitive load for clinicians, permitting them to focus psychological vitality on scientific decision-making quite than administrative duties. Latest research present a 61% discount in cognitive load at organizations implementing complete AI documentation options.
Excitingly, we’re additionally witnessing the emergence of what I name the “superclinician” – healthcare professionals whose capabilities are considerably enhanced by AI assistants. These AI-empowered clinicians exhibit higher diagnostic accuracy, enhanced effectivity, lowered stress ranges, and improved affected person relationships.
Importantly, the objective as we see it, is to not exchange scientific judgment however to reinforce it. By dealing with routine documentation and administrative duties, AI frees clinicians to concentrate on the points of care that require human experience, empathy, and instinct. This synergy between human and synthetic intelligence represents the perfect stability – expertise dealing with repetitive duties whereas clinicians apply their uniquely human expertise to affected person care.
Apparently, the 2025 Doctor Sentiment Survey revealed an almost 10% lower in burnout ranges in comparison with 2024, with considerably fewer physicians contemplating leaving the career. Respondents particularly cited AI help with administrative duties as a key issue of their improved job satisfaction and rekindled ardour for medication.
Regardless of the promising advances, implementing AI in healthcare workflows presents vital challenges. Healthcare organizations should navigate:
Probably the most profitable implementations have been people who contain clinicians from the start, designing workflows that complement quite than disrupt present practices. Organizations that view AI implementation as a cultural transformation quite than merely a expertise deployment have achieved probably the most sustainable outcomes.
Moral issues stay paramount. As AI techniques turn out to be more and more autonomous, questions on accountability, transparency, and the suitable division of duties between people and machines require considerate consideration. The healthcare group continues to develop frameworks that guarantee these highly effective instruments improve quite than diminish the standard and humanity of care.
Trying forward, I envision a healthcare ecosystem the place AI serves as an invisible however indispensable accomplice to clinicians all through their workday. Key components of this imaginative and prescient embody:
Quite than level options addressing particular person duties, actually transformative AI will seamlessly combine throughout all the scientific workflow. This implies unified techniques that deal with documentation, resolution assist, order entry, billing, and affected person communication inside a single clever platform. The fragmentation that at the moment characterizes healthcare expertise will give strategy to cohesive techniques designed round clinician wants.
As AI expertise matures, we’ll see more and more specialised techniques tailor-made to particular scientific specialties, settings, and particular person clinician preferences. The one-size-fits-all strategy will probably be changed by adaptive options that be taught and evolve based mostly on utilization patterns and suggestions.
Whereas documentation stays a serious focus in the present day, the following frontier includes AI techniques that proactively establish affected person wants, predict scientific deterioration, optimize useful resource allocation, and coordinate care throughout settings. These superior capabilities will additional improve clinician effectiveness whereas decreasing cognitive burden.
The way forward for healthcare lies not in expertise alone, however in considerate human-AI partnerships that amplify the very best qualities of each. At Augnito, our mission stays centered on creating expertise that allows clinicians to apply on the high of their license whereas reclaiming the enjoyment that drew them to medication.
The technological capabilities of 2025 characterize exceptional progress, however the journey is ongoing. Healthcare leaders should proceed investing in options that deal with burnout at its roots whereas preserving the important human connections that outline healthcare. Clinicians ought to embrace these instruments not as replacements for his or her experience, however as companions that improve their capabilities and enhance their high quality of life.
As we glance towards the long run, I invite healthcare organizations to think about: How can we leverage AI not merely to enhance effectivity, however to basically reimagine scientific workflows in ways in which prioritize clinician wellbeing and affected person expertise? The reply to this query will form healthcare for generations to come back.
What steps is your group taking to leverage AI in combating clinician burnout? I welcome your ideas and experiences as we collectively work towards a healthcare system that higher serves each sufferers and suppliers.
Over the previous 12 months I’ve spoken with a whole lot of CISOs and SOC leaders and regardless of the group’s measurement or trade there’s a recurring theme: Safety groups aren’t battling a scarcity of knowledge, they’re battling a scarcity of readability.
Alerts are simple, however actions are arduous. Velocity alone is now not sufficient. What groups want now are smarter methods—options that cut back noise, validate threats, robotically examine, and confidently information response.
At RSA Convention 2025, we’re unveiling our subsequent set of AI-driven improvements constructed to do precisely that. These aren’t simply new options. They signify a brand new basis, one designed to assist each analyst transfer from sign to readability and belief your automation to really give you the results you want; appearing with conviction when it issues most.
Once we speak about safety maturity, pace and protection are now not ample to belief the automation or reply rapidly with confidence. Confidence comes from having readability and realizing decisively the following steps and the end result they may ship. What units groups aside immediately is how rapidly they can comprehend what occurred and the way assured they are often that their subsequent motion is their finest motion. In the midst of a fast-moving incident, can your analysts validate alerts to find out the severity of menace? or rapidly skip an alert that could be a false optimistic however begs for consideration? Can they clearly clarify the unfolding story of an assault to an exec or an auditor and even to a different safety skilled? Can they act confidently with weak indicators once they nonetheless have a shot of containing an outbreak and know they’re proper?
Elevating confidence throughout SecOps means greater than closing the technical gaps between detection, investigation, and response. It means closing the cognitive hole, giving groups the knowledge to behave with out hesitation. At Cisco, that’s our focus. We’re constructing options that fuse knowledge, context, and automation into trusted, explainable choices and actions.
At RSAC, we’re introducing a brand new wave of capabilities in Cisco XDR that may flip this imaginative and prescient into actuality. These improvements give each analyst the arrogance to behave, it doesn’t matter what their expertise or crew measurement. They mark a shift from guide investigation to Agentic AI-augmented decision-making, the place indicators should not simply detected however investigated and understood with supporting proof. These capabilities are setting a brand new customary for contemporary safety operations, enabling groups to maneuver from uncertainty to readability and from hesitation to assured, decisive motion.
Some of the impactful new capabilities we’re introducing is Instantaneous Assault Verification. It’s designed to resolve the core downside safety groups face day-after-day: too many alerts with inadequate investigation resulting in not sufficient readability/ certainty/ confidence. Cisco XDR now robotically analyzes every alert to find out whether or not it poses an actual menace. We’re utilizing Agentic AI to analyze throughout a number of vectors, correlate behaviors, derive context, and fuse danger indicators throughout your atmosphere.
The result’s automated detection and response for the most typical assaults. Machine studying, machine reasoning, and LLMs mix to set off a number of AI brokers appearing on completely different components of the investigation lifecycle. Every investigation has a transparent verdict. That is then used to set off pre-built playbooks in Cisco XDR or Splunk SOAR to reply immediately with or with out human intervention relying on every group’s processes. XDR doesn’t create extra alerts when it validates a menace however works like your AI agent to eradicate alerts. It both classifies every alert as false positives or triggers a pre-built response. Instantaneous Assault Verification reduces false positives, reduces alert fatigue, quickens investigation, and triggers trusted playbooks to work on alerts at machine pace. No noise. No guesswork. Only a clear verdict. Decisive Motion. All at AI pace.
The Cisco XDR Assault Storyboard is a breakthrough development, leveraging AI-driven investigations that assist analysts comprehend a whole assault in underneath 30 seconds. This isn’t only a visualization—it’s an investigation expertise. Cisco’s AI constructs a dynamic Assault Graph, mapping occasions to MITRE ATT&CK techniques alongside an unfolding assault timeline and summarizing every step so anybody—from SOC analysts to non-security, IT professionals —can immediately grasp what occurred, what it means, and what to do subsequent.
It’s readability at machine scale: AI plans and guides the investigation, highlights root causes, and surfaces advisable containment and remediation steps—so choices are made sooner, with extra confidence. For auditors and executives, the storyboard delivers audit-ready narratives in plain language, turning technical complexity into comprehensible, actionable perception. Delivering a confidence inspiring clear verdict with decisive motion.
Think about in case your XDR triggered digital forensics to gather deep proof on endpoints earlier than you knew you wanted it. The brand new XDR Forensics functionality adjustments the sport for SecOps by triggering digital forensics to gather over 350 artifacts on endpoints, together with compromised or partially encrypted ones. This proof, together with registry recordsdata, reminiscence dumps, exercise logs, and a whole lot of different items of data is obligatory for forensic investigations. This forensic proof gathering might be triggered primarily based on danger scoring, behavioral analytics, and different indicators, or just by means of a single click on on the incident web page.
The proof is available on the incident web page, with a side-by-side timeline evaluating evaluation of the artifacts. Shining mild into this “black field” of your endpoints allows you to decide the foundation trigger and subsequent steps with excessive confidence.
At RSA, Cisco is setting a brand new customary for built-in protection. By uniting Cisco XDR with Safe Entry, we’re delivering the trade’s first real-time convergence of menace detection and zero-trust enforcement. This isn’t simply alerting—it’s lively containment. Cisco XDR correlates cross-domain telemetry to uncover threats as they unfold, whereas Safe Entry cuts off compromised customers and units the moment danger is detected.
The end result? Analysts get a unified, contextualized view of habits, entry, and asset posture—multi function place. And the second one thing appears to be like unsuitable, the coverage adapts robotically to cease the breach in progress.
No silos. No lag. Simply safety that thinks, learns, and acts—earlier than attackers transfer. Clear verdict. Decisive motion. AI pace.
Regardless of the dimensions or construction of your safety crew, the worth of confidence is common. Whether or not you’re working a two-person safety crew or working a world SOC, Cisco XDR delivers outcomes on that scale.
Small and mid-sized companies can scale expert-grade, automated, AI-driven, detection, investigation, and response functionality with out scaling their employees. Enterprise SOCs utilizing Splunk can now take XDR alerts which might be AI-validated assaults with clear verdicts, forensic knowledge, and plain-language summaries to complement SIEM context and set off SOAR playbooks robotically or speed up response. For MSSPs, alert fatigue and false positives shall be a factor of the previous. Instantaneous Assault verification permits operations to scale with out compromising high quality or management.
That is confidence as a functionality—obtainable to each crew at each degree.
Safety leaders are judged by their response, not by the variety of alerts they obtain. Cisco XDR allows decisive motion by offering clear verdicts, assured choices, and accelerated detection and response.
Right here’s what meaning in real-world enterprise outcomes:
That is what fashionable safety calls for — not simply alerts, however solutions. Cisco XDR provides you the decision you’ll be able to belief, the motion you want, and the pace immediately’s threats require.
If you happen to’re bored with alerts that elevate extra questions than solutions, you’re prepared for AI that does extra than simply help. It’s time to expertise what trusted automation actually appears to be like like. Cisco XDR is constructed to lift the arrogance of your complete SecOps crew, from the primary sign to the ultimate response.
Be a part of us at RSAC 2025, Sales space N-5845, or register for our RSAC Highlights webinar on Might 20th to see how Cisco XDR turns noise into readability and alerts into motion.
We’d love to listen to what you suppose. Ask a Query, Remark Under, and Keep Related with Cisco Safe on social!
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