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Saryu Nayyar, CEO and Founding father of Gurucul – Interview Collection

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Saryu Nayyar, CEO and Founding father of Gurucul – Interview Collection


Saryu Nayyar is an internationally acknowledged cybersecurity professional, creator, speaker and member of the Forbes Expertise Council. She has greater than 15 years of expertise within the info safety, id and entry administration, IT threat and compliance, and safety threat administration sectors.

She was named EY Entrepreneurial Successful Ladies in 2017. She has held management roles in safety services and products technique at Oracle, Simeio, Solar Microsystems, Vaau (acquired by Solar) and Disney. Saryu additionally spent a number of years in senior positions on the know-how safety and threat administration apply of Ernst & Younger.

Gurucul is a cybersecurity firm that focuses on behavior-based safety and threat analytics. Its platform leverages machine studying, AI, and massive knowledge to detect insider threats, account compromise, and superior assaults throughout hybrid environments. Gurucul is thought for its Unified Safety and Threat Analytics Platform, which integrates SIEM, UEBA (Consumer and Entity Habits Analytics), XDR, and id analytics to offer real-time menace detection and response. The corporate serves enterprises, governments, and MSSPs, aiming to scale back false positives and speed up menace remediation by means of clever automation.

What impressed you to start out Gurucul in 2010, and what downside had been you aiming to unravel within the cybersecurity panorama?

Gurucul was based to assist Safety Operations and Insider Threat Administration groups get hold of readability into essentially the most essential cyber dangers impacting their enterprise. Since 2010 we’ve taken a behavioral and predictive analytics strategy, relatively than rules-based, which has generated over 4,000+ machine studying fashions that put consumer and entity anomalies into context throughout a wide range of completely different assault and threat situations. We’ve constructed upon this as our basis, transferring from serving to giant Fortune 50 firms resolve Insider Threat challenges, to serving to firms acquire radical readability into ALL cyber threat. That is the promise of REVEAL, our unified and AI-Pushed Knowledge and Safety Analytics platform. Now we’re constructing on our AI mission with a imaginative and prescient to ship a Self-Driving Safety Analytics platform, utilizing Machine Studying as our basis however now layering on Generative and Agentic AI capabilities throughout the whole menace lifecycle. The objective is for analysts and engineers to spend much less time within the myriad in complexity and extra time targeted on significant work. Permitting machines to amplify the definition of their day-to-day actions.

Having labored in management roles at Oracle, Solar Microsystems, and Ernst & Younger, what key classes did you convey from these experiences into founding Gurucul?

My management expertise at Oracle, Solar Microsystems, and Ernst & Younger strengthened my capability to unravel advanced safety challenges and supplied me with an understanding of the challenges that Fortune 100 CEOs and CISOs face. Collectively, it allowed me to achieve a front-row seat the technological and enterprise challenges most safety leaders face and impressed me to construct options to bridge these gaps.

How does Gurucul’s REVEAL platform differentiate itself from conventional SIEM (Safety Data and Occasion Administration) options?

Legacy SIEM options rely on static, rule-based approaches that result in extreme false positives, elevated prices, and delayed detection and response. Our REVEAL platform is totally cloud-native and AI-driven, using superior machine studying, behavioral analytics, and dynamic threat scoring to detect and reply to threats in actual time. In contrast to conventional platforms, REVEAL constantly adapts to evolving threats and integrates throughout on-premises, cloud, and hybrid environments for complete safety protection. Acknowledged because the ‘Most Visionary’ SIEM answer in Gartner’s Magic Quadrant for 3 consecutive years, REVEAL redefines AI-driven SIEM with unmatched precision, velocity, and visibility. Moreover, SIEMs wrestle with a knowledge overload downside. They’re too costly to ingest the whole lot wanted for full visibility and even when they do it simply provides to the false constructive downside. Gurucul understands this downside and it’s why we now have a local and AI-driven Knowledge Pipeline Administration answer that filters non-critical knowledge to low-cost storage, saving cash, whereas retaining the power to run federated search throughout all knowledge. Analytics methods are a “rubbish in, rubbish out” state of affairs. If the info coming in is bloated, pointless or incomplete then the output won’t be correct, actionable or in the end trusted.

Are you able to clarify how machine studying and behavioral analytics are used to detect threats in actual time?

Our platform leverages over 4,000 machine studying fashions to constantly analyze all related datasets and determine anomalies and suspicious behaviors in actual time. In contrast to legacy safety methods that depend on static guidelines, REVEAL uncovers threats as they emerge. The platform additionally makes use of Consumer and Entity Habits Analytics (UEBA) to ascertain baselines of regular consumer and entity habits, detecting deviations that would point out insider threats, compromised accounts, or malicious exercise. This habits is additional contextualized by a giant knowledge engine that correlates, enriches and hyperlinks safety, community, IT, IoT, cloud, id, enterprise software knowledge and each inner and exterior sourced menace intelligence. This informs a dynamic threat scoring engine that assigns real-time threat scores that assist prioritize responses to essential threats. Collectively, these capabilities present a complete, AI-driven strategy to real-time menace detection and response that set REVEAL other than standard safety options.

How does Gurucul’s AI-driven strategy assist cut back false positives in comparison with standard cybersecurity methods?

The REVEAL platform reduces false positives by leveraging AI-driven contextual evaluation, behavioral insights, and machine studying to differentiate reliable consumer exercise from precise threats. In contrast to standard options, REVEAL refines its detection capabilities over time, enhancing accuracy whereas minimizing noise. Its UEBA detects deviations from baseline exercise with excessive accuracy, permitting safety groups to concentrate on reliable safety dangers relatively than being overwhelmed by false alarms. Whereas Machine Studying is a foundational side, generative and agentic AI play a major position in additional appending context in pure language to assist analysts perceive precisely what is going on round an alert and even automate the response to mentioned alerts.

What position does adversarial AI play in fashionable cybersecurity threats, and the way does Gurucul fight these evolving dangers?

First all we’re already seeing adversarial AI being utilized to the bottom hanging fruit, the human vector and identity-based threats. That is why behavioral, and id analytics are essential to with the ability to determine anomalous behaviors, put them into context and predict malicious habits earlier than it proliferates additional. Moreover, adversarial AI is the nail within the coffin for signature-based detection strategies. Adversaries are utilizing AI to evade these TTP outlined detection guidelines, however once more they’ll’t evade the behavioral primarily based detections in the identical approach. SOC groups usually are not resourced adequately to proceed to jot down guidelines to maintain tempo and would require a contemporary strategy to menace detection, investigation and response. Habits and context are the important thing elements.  Lastly, platforms like REVEAL rely on a steady suggestions loop and we’re continuously making use of AI to assist us refine our detection fashions, suggest new fashions and inform new menace intelligence our total ecosystem of consumers can profit from.

How does Gurucul’s risk-based scoring system enhance safety groups’ capability to prioritize threats?

Our platform’s dynamic threat scoring system assigns real-time threat scores to customers, entities, and actions primarily based on noticed behaviors and contextual insights. This allows safety groups to prioritize essential threats, decreasing response instances and optimizing assets. By quantifying threat on a 0–100 scale, REVEAL ensures that organizations concentrate on essentially the most urgent incidents relatively than being overwhelmed by low-priority alerts. With a unified threat rating spanning all enterprise knowledge sources, safety groups acquire better visibility and management, resulting in sooner, extra knowledgeable decision-making.

In an age of accelerating knowledge breaches, how can AI-driven safety options assist organizations stop insider threats?

Insider threats are an particularly difficult safety threat attributable to their refined nature and the entry that workers possess. REVEAL’s UEBA detects deviations from established behavioral baselines, figuring out dangerous actions corresponding to unauthorized knowledge entry, uncommon login instances, and privilege misuse. Dynamic threat scoring additionally constantly assesses behaviors in actual time, assigning threat ranges to prioritize essentially the most urgent insider dangers. These AI-driven capabilities allow safety groups to proactively detect and mitigate insider threats earlier than they escalate into breaches. Given the predictive nature of behavioral analytics Insider Threat Administration is race towards the clock. Insider Threat Administration groups want to have the ability to reply and collaborate rapidly, with privateness top-of-mind. Context once more is essential right here and appending behavioral deviations with context from id methods, HR purposes and all different related knowledge sources offers these groups the ammunition to rapidly construct and defend a case of proof so the enterprise can reply and remediate earlier than knowledge exfiltration happens.

How does Gurucul’s id analytics answer improve safety in comparison with conventional IAM (id and entry administration) instruments?

Conventional IAM options concentrate on entry management and authentication however lack the intelligence and visibility to detect compromised accounts or privilege abuse in actual time. REVEAL goes past these limitations by leveraging AI-powered behavioral analytics to constantly assess consumer threat, dynamically modify threat scores, and implement adaptive entry entitlements, minimizing misuse and illegitimate privileges. By integrating with present IAM frameworks and implementing least-privilege entry, our answer enhances id safety and reduces the assault floor. The issue with IAM governance is id system sprawl and the dearth of interconnectedness between completely different id methods. Gurucul offers groups a 360° view of their id dangers throughout all id infrastructure. Now they’ll cease rubber stamping entry however relatively take risk-oriented strategy to entry insurance policies. Moreover, they’ll expedite the compliance side of IAM and display a steady monitoring and totally holistic strategy to entry controls throughout the group.

What are the important thing cybersecurity threats you foresee within the subsequent 5 years, and the way can AI assist mitigate them?

Identification-based threats will proceed to proliferate, as a result of they’ve labored. Adversaries are going to double-down on gaining entry by logging in both through compromising insiders or attacking id infrastructure. Naturally insider threats will proceed to be a key threat vector for a lot of companies, particularly as shadow IT continues. Whether or not malicious or negligent, firms will more and more want visibility into insider threat. Moreover, AI will speed up the variations of standard TTPs, as a result of adversaries know that’s how they are going to be capable of evade detections by doing so and it is going to be low value for them to inventive adaptive techniques, technics and protocols. Therefore once more why specializing in habits in context and having detection methods able to adapting simply as quick will probably be essential for the foreseeable future.

Thanks for the nice interview, readers who want to be taught extra ought to go to Gurucul. 

DNA Microscopy Creates 3D Maps of Life From the Inside Out – NanoApps Medical – Official web site

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DNA Microscopy Creates 3D Maps of Life From the Inside Out – NanoApps Medical – Official web site


What in case you might take an image of each gene inside a dwelling organism—not with gentle, however with DNA itself?

Scientists at the University of Chicago have pioneered a revolutionary imaging technique called volumetric DNA microscopy. It builds intricate 3D maps of genetic material by tagging and tracking molecular interactions, creating never-before-seen views inside organisms like zebrafish embryos.

New Window into Genetics

Traditional genetic sequencing can reveal a lot about the genetic material in a sample, such as a piece of tissue or a drop of blood, but it doesn’t show where specific genetic sequences are located within that sample, or how they relate to nearby genes and molecules.

To address this, researchers at the University of Chicago are developing a new technology that captures both the identity and location of genetic material. The method works by tagging individual DNA or RNA molecules and tracking how neighboring tags interact. These interactions are used to build a molecular network that reflects the spatial arrangement of genes, effectively creating a three-dimensional map of genetic activity. Known as volumetric DNA microscopy, the technique generates detailed 3D images of entire organisms from the inside out – down to the level of individual cells.

Volumetric DNA Microscopy Image of Zebrafish Embryo
Volumetric DNA microscopy image of zebrafish embryo. Credit: Weinstein Lab, University of Chicago

Imaging an Entire Organism

Joshua Weinstein, PhD, Assistant Professor of Medicine and Molecular Engineering at UChicago, has spent over a decade developing DNA microscopy, with support from the National Institutes of Health and the National Science Foundation. In a recent study published today (March 27) in Nature Biotechnology, Weinstein and postdoctoral researcher Nianchao Qian used the technique to produce a complete 3D DNA map of a zebrafish embryo—a widely used model for studying development and the nervous system.

“It’s a level of biology that no one has ever seen before,” Weinstein said. “To be able to see that kind of a view of nature from within a specimen is exhilarating.”

Rethinking Microscopy

Unlike traditional microscopes that use light or lenses, DNA microscopy creates images by calculating interactions among molecules, providing a new way to visualize genetic material in 3D. First, short DNA sequence tags called unique molecular identifiers (UMIs) are added to cells. They attach to DNA and RNA molecules and begin making copies of themselves. This starts a chemical reaction that creates new sequences, called unique event identifiers (UEIs), that are unique to each pairing.

It’s these pairings that help create the spatial map of where each genetic molecule is located. UMI pairs that are close together interact more frequently and generate more UEIs than those that are farther apart. Once the DNA and RNA are sequenced, a computational model reconstructs their original locations by analyzing the physical links between UMI-tags, creating a spatial map of gene expression.

Cell Phones and Cells: A Clever Analogy

Weinstein compares the technique to using data from cell phones pinging each other to determine people’s location in a city. Knowing the cell phone number or IP address of each person is like knowing the genetic sequence of one molecule, but if you can layer on their interactions with other phones nearby, you can work out their locations too.

“We can do this with cell phones and people, so why not do that with molecules and cells,” he said. “This turns the idea of imaging on its head. Rather than relying on an optical apparatus to shine light in, we can use biochemistry and DNA to form a massive network between molecules and encode their proximities to each other.”

Future Applications in Cancer and Immunotherapy

DNA microscopy doesn’t rely on prior knowledge of the genome or shape of a specimen, so it could be useful for understanding genetic expression in unique, unknown contexts. Tumors generate countless new genetic mutations, for example, so the tool would be able to map out the tumor microenvironment and where it interacts with the immune system. Immune cells interact with each other and respond to pathogens in context-specific ways, so DNA microscopy could help unravel those genetic mechanisms. Such applications could in turn guide more precise immunotherapy for cancer or tailor personalized vaccines.

“This is the critical foundation for being able to have truly comprehensive information about the ensemble of unique cells within the lymphatic system or tumor tissue,” Weinstein said. “There has still been this major gap in technology for allowing us to understand idiosyncratic tissue, and that’s what we’re trying to fill in here.”

DOI: 27 March 2025, Nature Biotechnology.
10.1038/s41587-025-02613-z

Additional funding for the study, “Spatial-transcriptomic imaging of an intact organism using volumetric DNA microscopy,” was provided by the Damon Runyon Foundation and the Moore Foundation.

The “Material First” Lure: A long time Of Research Present Electrification Wins Each Time

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The “Material First” Lure: A long time Of Research Present Electrification Wins Each Time



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In local weather and vitality coverage, sure well-intentioned concepts acquire outsized reputation regardless of persistent proof towards them. One such interesting however deeply problematic method is the “cloth first” philosophy — the notion that constructing decarbonization should start by aggressively insulating and sealing buildings, solely later electrifying their heating methods. On the floor, it’s intuitive: if buildings leak much less warmth, they want much less vitality. But many years of analysis throughout a number of international locations proceed to disclose that “cloth first” constantly delivers far lower than promised, saddling property homeowners and governments with extreme prices whereas barely decreasing fossil gasoline dependency.

I run into this continuously, most lately in dialogue on my thesis of pure fuel utilities transitioning to turning into heat-as-a-service utilities with district heating, geothermal loops and reasonable depth geothermal, patterned on Sinopec’s extraordinary deployments in China. It’s an extremely persistent and incorrect theme, so it was value trotting out the proof.

Take the UK, which presents a stark and cautionary story. In a significant 2023 examine revealed by the College of Cambridge, researchers tracked precise fuel consumption throughout greater than 55,000 English properties retrofitted with insulation over a twelve-year interval. The outcomes had been sobering: cavity wall insulation delivered simply 7% preliminary fuel financial savings, which diminished to a negligible degree inside 4 years. Equally, loft insulation initially saved round 4% however confirmed nearly no internet reductions after simply two years. The perpetrator, as ever, was the notorious rebound impact: householders, now capable of warmth their areas affordably, naturally sought greater consolation — hotter rooms, longer heating intervals — and even added heated extensions to their properties. Consequently, by 12 months 4, fuel consumption had returned totally to pre-retrofit ranges, wiping out all anticipated vitality and carbon advantages.

But this was hardly new data. Greater than a decade earlier, the UK’s Heat Entrance program (launched in 2000 and evaluated in depth by researchers resembling Ian Hamilton and colleagues in a 2011 report) documented modest vitality financial savings alongside notable comfort-taking rebound. Households loved hotter properties however achieved nowhere close to the anticipated fuel reductions, regardless of heavy authorities investments. Equally, a 2017 Welsh authorities analysis of the “Arbed” retrofit program discovered households did obtain vital rapid fuel reductions of round 37%, but in addition confirmed significant will increase in indoor temperatures, eroding some anticipated financial savings. Clearly, induced demand — individuals’s comprehensible choice for consolation — was systematically underestimated in modeling and coverage alike.

Throughout the Channel, Germany’s large nationwide retrofit program supplied additional proof. Between 2010 and 2020, German Housing Affiliation (GdW) members poured over €340 billion into constructing envelope effectivity enhancements, but a 2021 GdW analysis discovered nationwide heating vitality use successfully stagnant. German tenants, beforehand constrained by heating prices, merely took benefit of higher insulation to keep up hotter, extra snug indoor environments. The web end result was billions spent for basically zero nationwide emission reductions — a damning indictment of overly formidable envelope-first insurance policies.

America has recognized this actuality since at the very least the Nineteen Eighties. The Division of Vitality’s long-running Weatherization Help Program (WAP), rigorously evaluated by economist Meredith Fowlie and colleagues in 2018, achieved solely 10–20% real-world vitality financial savings in comparison with the optimistic 25–50% modeled by engineering estimates. Regardless of many years of funding and fine-tuning effectivity measures, rebound results endured, and mannequin predictions continued overshooting actuality by large margins. Equally, New Zealand’s acclaimed 2007 neighborhood insulation trial, revealed by Philippa Howden-Chapman and her group, revealed significant well being advantages however reasonable internet vitality financial savings, once more tempered by rebound. Residents, now not rationing warmth, raised indoor temperatures — an important social profit, however one which sharply diminished the web carbon financial savings policymakers anticipated.

Regardless of many years of such clear-eyed, worldwide proof, the cussed reputation of “cloth first” stays. Its persistent attraction lies partly in cultural beliefs — there’s an nearly ethical attachment to reaching “effectivity first” as a righteous environmental act. Negawatts is a little bit of a faith. Nevertheless, that pursuit repeatedly confronts diminishing returns. Past fundamental insulation and air sealing, every further increment of constructing envelope enchancment turns into exponentially costlier, producing ever-smaller marginal carbon advantages. Consequently, huge sums that would have financed electrification, resembling warmth pumps that instantly remove fossil gasoline use, are as an alternative sunk into overly formidable insulation measures with questionable local weather advantages.

The choice, electrification-first method presents a right away, verifiable, and enduring answer. A complete 2023 Rocky Mountain Institute (RMI) evaluation throughout all U.S. states demonstrated that changing fossil-fueled heating methods with warmth pumps yields lifetime emissions reductions of as much as 93%, even with right this moment’s partially fossil-dependent electrical energy grids. Equally, the Worldwide Vitality Company (IEA) constantly finds round 50–60% emissions reductions from switching fossil furnaces to warmth pumps in numerous international locations and climates — advantages that improve steadily as the worldwide electrical energy provide decarbonizes.

Certainly, electrification’s local weather benefit solely expands with time. As grids change into cleaner — an unstoppable world pattern documented repeatedly in annual reviews from BloombergNEF and the IEA — each electrified heating system robotically grows much less carbon-intensive every year. A warmth pump put in right this moment turns into progressively greener as renewable era replaces fossil fuels, securing many years of steadily falling emissions. Conversely, overly-insulated properties that proceed counting on fuel furnaces stay locked into fossil dependency, their emissions static and even rising over time as comfort-seeking regularly reclaims effectivity beneficial properties.

The best technique emerges from rigorous comparative analysis like France’s complete 2024 pathway modeling revealed in Environmental Analysis Letters. French researchers clearly outlined the optimum decarbonization situation for nationwide housing: modest insulation and effectivity measures account for roughly 19% of emissions cuts, warmth pumps ship one other 36%, and grid decarbonization achieves the remaining 45%. This balanced method — Pareto-optimizing envelope enhancements reasonably than pursuing perfection — is economically smart, virtually possible, and dramatically simpler in emissions phrases.

Equally, the Lawrence Berkeley Nationwide Laboratory (LBNL) and the Brattle Group’s widely-cited 2023 examine revealed in One Earth modeled U.S. constructing decarbonization and arrived on the identical conclusion. Their analysis emphasised that aggressive however measured envelope retrofits mixed with widespread electrification may yield over 90% constructing emissions reductions by 2050 with out elevating complete electrical energy demand, as envelope effectivity completely offsets elevated electrical hundreds from warmth pumps and electrical home equipment. Once more, “cloth first” alone was clearly inferior: by diverting funds from important electrification, it successfully ensured continued reliance on fossil fuels, decreasing total local weather profit.

The important takeaway from many years of world analysis is remarkably constant: electrification paired with reasonable, focused envelope enhancements achieves the deepest, quickest, and most sturdy carbon reductions. “Material first,” in the meantime, regardless of its intuitive attraction, repeatedly under-delivers at huge value. The actual-world proof — spanning research within the UK, Germany, Eire, New Zealand, France, and america over the previous thirty-plus years — is each plentiful and unequivocal. But many policymakers and influencers stay fixated on formidable envelope-first applications, repeatedly misled by overly optimistic modeling, persistent cultural biases towards effectivity, and disrespect for behavioral realities.

This enduring fixation on the “cloth first” method vividly illustrates a number of cognitive biases outlined by Daniel Kahneman in Considering, Quick and Sluggish. Primarily, there’s anchoring bias, the place early estimates set an excessively optimistic baseline, inflicting policymakers to stubbornly undervalue subsequent proof exhibiting rebound results and diminishing returns. Concurrently, it reveals the planning fallacy, repeatedly underestimating real-world prices and complexities of reaching significant emissions reductions by way of envelope retrofits alone. There’s additionally clear proof of affirmation bias, as advocates regularly cherry-pick modeling research that favor insulation’s advantages whereas dismissing constant empirical findings on the contrary. Lastly, the persistence of “cloth first” coverage demonstrates loss aversion and sunk value fallacy: policymakers change into emotionally and financially invested in large-scale effectivity applications and concern abandoning them, even when superior, electrification-led alternate options are demonstrably simpler. These biases collectively reinforce flawed methods, delaying urgently wanted decarbonization.

Three years in the past, I revealed Seeing Local weather Options Clearly By Biases & Lacking Knowledge Is Difficult, mentioning a raft of biases which endured regardless of sturdy opposite proof and talked concerning the explanation why. As I mentioned then:

I continuously run into individuals in discussions — traders, VCs, technologist, economists — who’re coping with the transformation to a low-carbon future who don’t know this. My Brief Checklist of Local weather Actions That Will Work will get attacked usually, most lately by Luxembourg’s chief strategist for vitality on the nation’s ministry of the economic system, as a result of I exclude effectivity as a prime line merchandise. Electrifying every little thing and utilizing renewable electrical energy comes with a 50% effectivity bonus, vastly greater than every other effectivity beneficial properties doable.

Within the face of pressing local weather deadlines, persevering with to push “cloth first” with out rigorously limiting its scope is a pricey, counterproductive distraction. Actual-world decarbonization calls for swift and substantial electrification—instantly changing fossil-fueled heating methods with electrical warmth pumps and concurrently greening the electrical energy grid. Envelope enhancements stay priceless, however solely as much as the purpose of Pareto optimality, the place marginal advantages equal marginal prices. Past that time lies diminishing returns, wasted sources, and continued fossil gasoline dependence.

In brief, after many years of expertise and evaluation, the lesson is obvious and overdue: if the purpose is really to decarbonize buildings quickly, affordably, and completely, electrification should cleared the path. Insulation and sealing ought to help that purpose—not substitute for it. Anything is merely burning cash and carbon whereas chasing a comforting phantasm.

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Surge in Phishing Assaults Hijacking Official Microsoft Communications

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Surge in Phishing Assaults Hijacking Official Microsoft Communications


A KnowBe4 Risk Lab Publication
Authors: By James Dyer, Risk Intelligence Lead at KnowBe4 and Lucy Gee, Cybersecurity Risk Researcher at KnowBe4

KnowBe4 Threat Lab Logo_300dpiOn March 3, 2025, the KnowBe4 Risk Labs staff noticed an enormous inflow of phishing assaults originating from respectable Microsoft domains.

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Kyndryl extends Google Cloud partnership for AI-based mainframe modernization

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Kyndryl extends Google Cloud partnership for AI-based mainframe modernization



“Many must combine mainframe knowledge with the cloud and replace purposes to fulfill new safety and compliance guidelines. Suppliers are utilizing genAI-based code inspection to speed up the invention of code adjustments and modernization of legacy code,” ISG said.

“GenAI can examine code and clarify the way it works, lowering and generally eliminating the dependence on senior specialists’ information, thus lowering the price of sustaining legacy purposes,” ISG added.

“GenAI has opened new prospects and elevated purchasers’ belief in software modernization. Corporations going through rising mainframe prices want re-platforming their mainframes to the cloud to attain financial savings shortly. Nonetheless, genAI has enhanced reengineering and rewriting processes with wealthy documentation and prolonged testing whereas lowering the time required to finish modernizations,” ISG said.

Nonetheless, not all prospects are interested by shifting all of their mainframe apps to the cloud, as Kyndryl reported in its personal second annual State of Mainframe Modernization Survey final 12 months. 

Mainframe modernization can take just a few types—enterprise prospects can maintain knowledge on the massive iron, migrate workloads off, or create a hybrid surroundings. This 12 months, extra respondents reported will increase in mainframe utilization, whereas fewer are shifting workloads off of the mainframe, Kyndryl said.

“In 2024, extra respondents confirmed they’re specializing in modernizing on the mainframe or integrating with cloud, and fewer are selecting to maneuver workloads off the mainframe as their major technique—a 5 share level drop from final 12 months (30% to 25%). Moreover, 53% of respondents noticed their utilization on the mainframe rising this 12 months, with 49% saying their mainframe utilization will improve once more within the subsequent 12 months,” Kyndryl said.

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