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Oren Yunger is an investor at GGV Capital , where he leads the cybersecurity vertical and drives investments in enterprise IT, data infrastructure, and developer tools. He was previously chief informationsecurity officer at a SaaS company and a public financial institution. So why is compliance alone not enough?
Plus, learn why GenAI and data security have become top drivers of cyber strategies. And get the latest on the top “no-nos” for software security; the EU’s new cyber law; and CISOs’ communications with boards. Looking for help with shadow AI? Want to boost your software updates’ safety? New publications offer valuable tips.
Solution: Invest in continuous learning and development programs to upskill the existing workforce. For instance, AT&T launched a comprehensive reskilling initiative called “Future Ready” to train employees in emerging technologies such as cloud computing, cybersecurity, and data analytics. A: Expensive, bad processes.
However, as more organizations rely on these applications, the need for enterprise application security and compliance measures is becoming increasingly important. Breaches in security or compliance can result in legal liabilities, reputation damage, and financial losses.
George Gerchow is the chief security officer at Sumo Logic. He earned a master’s degree from Villanova, but it was in human resources development. He spent 16 years in the Marine Corps in various military and civilian roles, but none directly involved cybersecurity. Share on Twitter. Why am I talking to this guy?”
This approach is repeatable, minimizes dependence on manual controls, harnesses technology and AI for data management and integrates seamlessly into the digital product development process. Poor-quality data is as detrimental as a pipeline outage, and perhaps more, as it can lead to bad decisions and provide harmful information to customers.
AI in Action: AI-powered contract analysis streamlines compliance checks, flags potential risks, and helps you optimize spending by identifying cost-saving opportunities. CIOs Need to Upskill Their Teams in AI and Cybersecurity The Challenge: 62% of IT leaders told IDC that a lack of skills had resulted in missed revenue growth objectives.
CIOs must tie resilience investments to tangible outcomes like data protection, regulatory compliance, and AI readiness. However, CIOs must still demonstrate measurable outcomes and communicate these imperatives to senior leadership to secure investment. To respond, CIOs are doubling down on organizational resilience.
But a substantial 23% of respondents say the AI has underperformed expectations as models can prove to be unreliable and projects fail to scale. Sometimes it actually creates more work than it saves due to legal and compliance issues, hallucinations, and other issues. It gets beyond what we can manage.”
Research from Gartner, for example, shows that approximately 30% of generative AI (GenAI) will not make it past the proof-of-concept phase by the end of 2025, due to factors including poor data quality, inadequate risk controls, and escalating costs. [1] Reliability and security is paramount.
As concerns about AI security, risk, and compliance continue to escalate, practical solutions remain elusive. Key challenges CISOs are and should be concerned about several AI-related areas in their cybersecurity pursuits. One is the monitoring of employees AI use. For many, thats a significant blind spot.
However, depending on the development resources available for rewriting applications, as well as the timeline the organization is targeting, migrating wholesale off of legacy platforms is not always as feasible as taking the easier route of upgrading to a newer version of a legacy offering.
There is a pending concern about how to manage AI agents in the cloud, says Dave McCarthy, research vice president at IDC, noting that the expanding availability of AI agents from startups and established vendors will give CIOs asset management, security, and versioning challenges.
Security operations teams face a daunting task these days, fending off malicious hackers and their increasingly sophisticated approaches to cracking into networks. That also represents a gap in the market: building tools to help those securityteams do their jobs. If not, it flags it to the team.
Despite the importance of the mainframe, it has been neglected over the years with organizations focusing on perimeter security. According to Gartner , IT security software is the top purchase category (28%) for those buying IT-related software. But only eight percent of those buyers are purchasing IT management software.
Talk may be cheap, but when it comes to IT security, strategic conversations with colleagues, business partners, and other relevant parties can be priceless. Such discussions ensure the integration of cybersecurity initiatives and resource requirements in the enterprise’s business goals and objectives,” he adds.
At Gitex Global 2024, a panel of top cybersecurity leaders delivered a clear message: cybersecurity is no longer just the responsibility of the cybersecurityteam or the Chief InformationSecurity Officer (CISO). Cybersecurity must be at the core of every organization.
Plus, a new guide says AI system audits must go beyond check-box compliance. And get the latest on cloud security, SMBs' MFA use and the CIS Benchmarks. The advisory also offers prevention and mitigation recommendations both to end-user organizations, and to software vendors and developers. Secure internet-facing devices.
You can of course make a series of obviously bad decisions, but you'd get fired quickly. Make sure production environment differs from developer environments in as many ways as possible. Develop incredibly detailed “strategic” plans. What are some things you can do? Deploy as infrequently as possible.
Artificial intelligence (AI) is revolutionizing the way enterprises approach network security. With cyber threats evolving at an unprecedented rate, businesses may consider implementing AI-driven security solutions to optimize resources and enhance their existing automated security processes. How Is AI Used in Cybersecurity?
However, as more organizations rely on these applications, the need for enterprise application security and compliance measures is becoming increasingly important. Breaches in security or compliance can result in legal liabilities, reputation damage, and financial losses.
As with any new technology, however, security must be designed into the adoption of AI in order to minimize potential risks. The combination of new technology with a short window makes security even more difficult than with traditional applications. The need for robust security measures is underscored by several key factors.
Three years ago BSH Home Appliances completely rearranged its IT organization, creating a digital platform services team consisting of three global platform engineering teams, and four regional platform and operations teams. We see this as a strategic priority to improve developer experience and productivity,” he says.
Take Descope , for example, which today announced that it raised a whopping $53 million in seed funding for its “developer-first” authentication and user management platform. In tight economies, organizations feel the pressure to shift software development efforts to initiatives that’ll move the needle for business.
At Amazon, Security is Job Zero, which is why Amazon Q Business is designed with these critical considerations in mind. This makes sure that enterprises can quickly find answers to questions, provide summaries, generate content, and complete tasks across various use cases with complete confidence in data security.
Learn more about the key differences between scale-ups and start-ups Why You Need a Framework for Scaling a Business Many businesses fail not because of poor products or insufficient market demand, but due to ineffective management of rapid growth. Scaling challenges can overwhelm even promising startups without a systematic approach.
As a result of ongoing cloud adoption, developers face increased pressures to rapidly create and deploy applications in support of their organization’s cloud transformation goals. Cloud applications, in essence, have become organizations’ crown jewels and developers are measured on how quickly they can build and deploy them.
Network security management is the practice of keeping digital environments secure, running smoothly, and in compliance with industry regulations. A strong security management strategy integrates technology, policies, and operational processes to build a resilient defense system.
Slowing the progression of AI may be impossible, but approaching AI in a thoughtful, intentional, and security-focused manner is imperative for fintech companies to nullify potential threats and maintain customer trust while still taking advantage of its power. Exploiting technology vulnerabilities.
SGNL.ai , a company developing enterprise authorization software, today announced that it raised $12 million in seed funding led by Costanoa Ventures with participation from Fika Ventures, Moonshots Capital and Resolute Ventures. Kriz also spent several years at Google on the product, identity and authorization team.
Securityteams in highly regulated industries like financial services often employ Privileged Access Management (PAM) systems to secure, manage, and monitor the use of privileged access across their critical IT infrastructure. Using this capability, securityteams can process all the video recordings into transcripts.
Unquestionably, there are many positives to this trend, but there will also be an increase in cybersecurity challenges to accompany it. But this often comes at the expense of cyber security, which tends to be left as an afterthought and included too late, says Galbiati.
Maintaining source code is one of the toughest challenges that software developers face. In a 2020 survey from Sourcegraph, 51% of developers said that they have more than 100 times the volume of code they had ten years ago while 92% say the pressure to release software faster has increased. It’s an acute problem.
At a time when remote work, cybersecurity attacks and increased privacy and compliance requirements threaten a company’s data, more companies are collecting and storing their observability data, but are being locked in with vendors or have difficulty accessing the data. It’s time for securityteams to embrace security data lakes.
CISA’s red team acted like a nation-state attacker in its assessment of a federal agency’s cybersecurity. Plus, the Cloud Security Alliance has given its cloud security guidance a major revamping. And the latest on open source security, CIS Benchmarks and much more!
Poor data quality automatically results in poor decisions. By 2025, we will place responsibility for the data in the hands of those who know it best: the business teams. Data teams are not known for their empty backlogs, implying a bottleneck for ad-hoc business questions. Lineage (i.e.
Examples are initiatives to improve both customer and employee experiences or others that deliver a combination of innovation and security enhancements. The organization’s size, types of programs, compliance requirements, and cultural readiness are just a few of the key variables requiring consideration.
IT compliance refers to a set of statutory rules and regulations that businesses must follow to minimize the threat of a cyberattack and keep their systems and processes secure. What is IT compliance? What is the purpose of IT compliance?
Web3 developer platform Fleek has raised $25 million in Series A funding led by Polychain Capital , the company told Jacquelyn. And we have five more for you: Please hold while we pause for repairs : Sarah writes that Twitter alternative Hive shuts down its app to fix critical security issues. You can sign up here. Big Tech Inc.
In August 2024, we asked our customers to tell us about security: their role in security, their certifications, their concerns, and what their companies are doing to address those concerns. We had 1,322 complete responses, of which 419 (32%—roughly one-third) are members of a securityteam. are managers, 7.2%
How enterprises gather, store, cleanse, access, and secure their data can be a major factor in their ability to meet corporate goals. The proper use of unstructured data will become of increasing importance to IT leaders,” says Kevin Miller, CTO of enterprise software developer IFS. “It It will not be something they can ignore.
Inadequate leadership and poorteam engagement can lead to delays and time-wasting errors. Poor planning Defective planning often leads to poor timing, particularly when an initiative conflicts with established business operations. Mistimed initiatives ultimately result in poor adoption, Lively warns. “If
Alongside streamlined processes and collaborative efficiency, DevOps teams need real-time access to detailed, correlative, context-rich data and analytics. By understanding how observability in DevOps transforms development capabilities, you can maximize the effectiveness of your teams and your data. Let’s get into it.
One of the startups attempting to tackle the cloud’s security challenges is Sentra , which finds data in the cloud, classifies it according to sensitivity and then offers remediation plans for data securityteams. When it detects assets with a weaksecurity posture (e.g. where it’s headquartered.
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