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Despite knowing that API security needs to be a critical component of developing their applications, DevOps teams often remain handicapped by inadequate tools and budgets to properly address their needs. This has put the software industry in an API security crisis.

Per the just released Gartner® Hype Cycle for APIs and Business Ecosystems, 2021 report, “Every connected mobile, modern web or cloud-hosted application uses and exposes APIs. These APIs are used to access data and to call application functionality. APIs are easy to expose but difficult to defend. This creates a large and growing attack surface, leading to a growing number of publicized API attacks and breaches. Traditional network and web protection tools do not protect against all the security threats facing APIs, including many of those described in the  OWASP API Security Top 10.”

In the report, Gartner further states “Because APIs are typically used for access to data or application functionality, often linked to systems of record, the impact of an API breach can be substantial. Privacy regulations typically require reporting if private data is breached through an insecure API. APIs are easily and intentionally programmable, so a vulnerability can leak large volumes of data. That it can be challenging to separate valid API use from nefarious access raises the risk of blocking valid use.”

Despite frequent high profile breaches such as Peloton and LinkedIn, organizations on average only allocate about 6% of their overall IT spend towards security — leaving them unprepared to manage the explosion of API adoption and the associated security risks.

With the free API security solution offered by Traceable AI, these teams now have the option to use a free enterprise-grade solution to gain visibility, protection, and analytical insights into their APIs.

Powered by its distributed tracing and unsupervised machine learning technologies, Traceable AI addresses these problems by learning the application context and normal behaviors. Unlike Web Application Firewalls (WAFs) that rely on static threat signatures of known attacks, deep API insights and ML enhanced anomaly detection enable the Traceable AI Free tier offering to detect and block known (such as the OWASP Top 10) and unknown threats with no signature tuning yet minimal false positives.

“API security threats are becoming pervasive and increasing in frequency. API security is an emerging field, and application and security teams need to understand how to address this problem unique to their business models. WAFs and API gateways simply aren’t enough to overcome these emerging threats and it’s past time for us to have a real-solution that solves the problem rather than just apply a band-aid. Our free offering introduces API security benefits without the budget pressure that these teams often face. We hope access to it will encourage widespread adoption of API security practices and help teams to truly understand and address API-based security threats,” said Jyoti Bansal, CEO and Co-Founder of Traceable AI.

The self-service deployable free version of Traceable AI includes:

• Continuous discovery and inventory of all APIs, including shadow and orphaned APIs
• Real-time, automatic API documentation including parameter details, usage patterns, and API changes flagged
• Insights into API runtime behavior, including API usage patterns, user details, and where sensitive data is being exposed
• Continuously updated API risk scores based on likelihood and impact of abuse
• API & web application protection (OWASP Top 10) powered by ML anomaly detection for low false positives without signature maintenance
• Real-time API vulnerability detection of API misconfigurations to prevent malicious exploitation by cybercriminals
• API performance metrics for establishing normal vs abnormal behavior, including number of calls, call frequency, and error and latency distribution
• Block threats based on threat actor, IP range, anomaly detection + signatures

For larger scale environments and more advanced features, Customers can also upgrade to the Team or Enterprise tiers offered by Traceable AI.

One year since the initial company launch, Traceable AI has been deployed in several customer environments, pioneering the way for the adoption of API Security practices.  One such customer, Houwzer, provides an end-to-end digital real-estate and mortgage brokerage platform to its clients. It was important for Houwzer to ensure a secure platform to prevent bad actors from gaining unauthorized access to its clients’ private and sensitive information and ensure compliance with all regulatory authorities.

“Houwzer faces a high-stakes threat landscape and an extremely complex regulatory environment. Ensuring data security and compliance is absolutely critical to our business continuity and success,” said Greg Phillips, Chief Technology Officer at Houwzer. “With Traceable AI, we went from blocking zero threats to automatically blocking hundreds of threats. We have been able to secure our customer data, prevent breaches, and it has helped our development and security teams work collaboratively on addressing API based threats. Traceable AI also empowers us to seamlessly comply with 21 different licenses. It’s been a game changer.  All this, without hiring a dedicated security team as we scale our business.”

To obtain more features and achieve broader scalability, Traceable AI also offers Team and Enterprise editions. To learn more or to get started with the free solution, visit https://www.traceable.ai/free.

Gartner, ‘Hype Cycle for APIs and Business Ecosystems, 2021’, Mark O’Neill, John Santoro, July 27, 2021

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“Recent insights uncovered show compliance as one of the leading use cases for machine learning in terms of expected net growth,” said Nick Patience, founder and research vice president for 451 Research. “The ability for solutions to uncover patterns in large sets of unstructured data – false positives in this case – is key to helping highly regulated firms like financial services streamline their supervision workflows and reduce related costs.”

To ease compliance and reduce risk, Proofpoint NexusAI for Compliance is available today to complement Proofpoint Enterprise Archive, and Proofpoint Intelligent Supervision, which helps organizations build, maintain, refine, and execute an audit-ready supervision plan. Recognized by Gartner as a Leader in the October 2020 Gartner Magic Quadrant for Enterprise Information Archiving for nine consecutive years*, Proofpoint provides formal retention and supervisory review programs for all communications to address rigorous compliance measures including FINRA, SEC, and IIROC.

“NexusAI for Compliance redefines digital communication monitoring with AI-powered automation that is unmatched in the market,” said Darren Lee, executive vice president and general manager of Compliance and Digital Risk for Proofpoint. “Regulated organizations trust us to solve the toughest compliance and digital supervision challenges. Today’s innovation announcement builds on Proofpoint’s people-centric compliance vision and commitment to help customers unify, manage, store, investigate, and supervise digital communications to mitigate corporate and regulatory risks.”

NexusAI for Compliance users can focus on meaningful content with out-of-box machine learning models, deploy in-house developed models, or enlist Proofpoint Professional services to build, train, vet, and activate custom models. Proofpoint is making a significant investment in leveraging AI/ML to improve its product capabilities and user experience. Several examples can be found in Nexus Risk Explorer, the Nexus Threat Graph, and now in NexusAI for Compliance.

For more information on NexusAI for Compliance as well as Proofpoint’s Archiving and Compliance portfolio, please visit: www.proofpoint.com/us/nofalsepositives.

^*Gartner, Magic Quadrant for Enterprise Information Archiving, Michael Hoeck and Jeff Vogel, 27 October 2020

Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

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IBM Launches New Watson Capabilities to Help Businesses Build Trustworthy AI

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An IBM-commissioned survey found that trust, transparency and explainability are top-of-mind concerns for businesses, with 84% of AI professionals surveyed agreeing that consumers are more likely to choose services from a company that offers transparency and an ethical framework on how its data and AI models are built, managed and used. However, the barriers to developing trustworthy AI and mitigating risk remain pervasive, with 82% of AI professionals surveyed saying their organization has been negatively impacted by problems, like bias, with data or AI models^[1].

To help businesses overcome these challenges, IBM is continually bringing new capabilities to its Watson products that are designed to build trust throughout key stages of the AI lifecycle and to help businesses achieve greater confidence in AI-powered outcomes. The new capabilities announced today include:

• New data privacy management capabilities: IBM OpenPages with Watson now includes a new Data Privacy Management module designed to help businesses meet evolving data privacy challenges. By integrating with Watson Knowledge Catalog, IBM OpenPages can now provide businesses with a holistic, near real-time view of how private data is being used throughout the organization, from applications to AI models. As new privacy regulations are enacted around the world, businesses need to be able to account for how they use personal data. This new capability is designed to help automate the reporting of personally identifiable information (PII) in order to improve accuracy and reduce audit times.
• Enhanced explainability for planning forecasts: IBM Planning Analytics with Watson will include a new statistical details page designed to provide more transparent and easy-to-understand facts about how a forecasting prediction was generated. As more businesses turn to predictive forecasting capabilities to strengthen their financial, sales and supply chain planning, they require transparency in the models and data used to generate the forecast. This new feature is planned for generally availability in 2021 Q2 to provide users with more granular information as well as increased explainability and accountability in their forecasts.
• New Federated Learning capabilities: IBM Watson Studio now includes new federated learning capabilities as a tech preview to help businesses apply machine learning techniques to situations where data cannot or should not be moved due to reasons such as data privacy, secrecy, regulatory compliance, or simply the size of data involved. With IBM Watson Studio, businesses will be able to train AI models on previously siloed data sources.
• New Time Series capabilities: IBM Watson Studio now includes Time Series capabilities in beta designed to tackle the challenges of automating, analyzing, and forecasting time series data commonly seen in many industries like finance, manufacturing, and retail. The new capabilities are designed to help businesses develop models that predict future values of a time series based on past data or features. Time Series on IBM Watson Studio is designed to achieve accuracy across a variety of univariate datasets — including data such as phone call data logs, weather data, travel times, retail sales, production volume, to driving increase insight accuracy.

“AI is only as useful as your trust in it. Especially in business and when the stakes are high,” said Daniel Hernandez, General Manager, Data and AI, IBM. “IBM Watson continues to deliver critical new capabilities to help enterprises build trust into every step of the AI lifecycle so business leaders can confidently operationalize AI across the hybrid cloud.”

Leading global brands are using IBM Watson to infuse trust into their workflows. Deutsche Lufthansa AG, Germany’s largest airline, is using IBM Watson Studio to build a trusted data and AI foundation to enhance the customer experience and better empower its employees while achieving operational excellence.

IBM is continually harvesting innovations from IBM Research to give businesses the tools, solutions, practices, and skills to govern AI responsibly, including the recently announced AI Factsheets methodology that will be commercialized into Watson Studio in Cloud Pak for Data throughout 2021. Factsheets further complements existing solutions such as IBM Watson OpenScale, IBM Watson Knowledge Catalog, and IBM Watson Machine Learning to provide customers with end-to-end AI lifecycle management and governance capabilities.

Global research firm Gartner recently positioned IBM as a Leader in the 2021 Magic Quadrant for Data Science and Machine Learning Platforms^[2]. IBM Planning Analytics with Watson has been recognized as a 2021 Gartner Peer Insights Customers’ Choice in the Cloud Financial Planning & Analysis market. IBM OpenPages with Watson is recognized as a Leader in the 2020 Gartner Magic Quadrant for IT Risk Management for the fifth time^[3].

This news builds on IBM’s long-standing commitment to the ethical, responsible stewardship of AI. In addition to applying its Principles of Trust and Transparency across the full scope of global operations, IBM recently joined forces to launch the Global AI Action Alliance focused on guiding the responsible policies, practices, and partnerships needed to ensure global cooperation on the design, development and use of AI.

For more information on today’s announcement, please visit: https://www.ibm.com/blogs/watson/2021/04/ibm-watson-trust-data-models-processes

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The AI market is expected to exceed $191 billion by 2024, growing at 37% compound annual growth rate. As organizations accelerate their adoption of AI, many struggle with challenges such as limited access to specialized talent, slow development cycles, and the resources to continuously maintain AI models. Creating and sustaining AI models at scale typically requires people with capabilities across data science, IT operations and user experience (UX) who work seamlessly towards a common goal. With Deloitte’s ReadyAI, organizations now have access to the services, technology and expertise they need to accelerate their AI journey.

“In the Age of With, human and machine collaboration is taking organizations to new heights. While AI adoption is accelerating, many organizations struggle to scale their AI projects,” said Nitin Mittal, AI co-leader and principal, Deloitte Consulting LLP. “ReadyAI provides the flexible and scalable capabilities that these companies need to successfully become AI-fueled organizations.”

ReadyAI offers comprehensive service capabilities including:

• Data preparation: Provide data extraction, wrangling and standardization services. Also supports advanced analytical model development through feature engineering.
• Insights and visualization: Design and generate reports and visual dashboards utilizing data output from automations to improve business outcomes and automation performance.
• Advanced analytics: Data analysis for both structured and unstructured data. Creation of rule-based bots and insights-as-a-service.
• Machine learning and deep learning: ML and deep learning model development. Video and text analytics to assist conversational AI.
• Machine learning deployment: Create deployment architecture and pipelines for upstream and downstream integration of ML models.
• Model management and MLOps: Management of model performance, migration and maintenance. Automation of model monitoring process and overall DevOps for machine learning.

“The promise of AI lies in its deployment at scale in a fair, ethical and trustworthy fashion,” said Rohit Tandon, general manager for ReadyAI and managing director, Deloitte Consulting LLP. “ReadyAI helps clients take AI all the way from labs and pilot programs to real-life business integration and adoption.”

Deloitte’s recent “State of AI in the Enterprise” third edition study of enterprise AI adopters found that less than half of adopters believe they have a high level of skill around integrating AI technology into their existing IT environment. With a talent pool of more than 3,100 AI professionals, Deloitte can assemble teams that have the right combination of industry, domain and AI technology skills to best suit clients’ needs. These experts include cloud engineers, data scientists, data architects, technology and application engineers, business and domain specialists, and visualization and design specialists. By leveraging the right combination of skills, organizations can quickly accelerate their AI journey.

ReadyAI teams operate as an extension of clients’ teams often for engagements of six months or more. Services are available as a flexible, subscription model, allowing clients to scale resources and capabilities up or down based on business needs and priorities. Learn more on the ReadyAI website.

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The 2020 Verizon Data Breach Investigations Report showed that 28% of all breach victims were SMBs, with 54% of attempted attacks on SMBs being successful, compared to a 7% success rate at larger companies.  62% of SMBs say they lack the skills to deal with cyber-security issues. With the FBI stating that cybercrime reports have quadrupled during the COVID-19 pandemic, SMBs urgently need integrated and automated security to prevent cyber-threats from damaging their business.

“Security threats are increasing in frequency and sophistication, but SMBs lack the expertise, manpower and IT budget to adequately address them.  They need security solutions that evolve with the threat landscape, are easy to use, and combine communications and security,” said Chris Rodriguez, IDC’s Network Security Research Manager, “Check Point’s Quantum Spark family of next generation firewalls are specifically designed to protect SMBs from the latest security threats, are easy to manage from the cloud or on the go with a mobile app, and provide optimized internet connectivity including Wi-Fi, fiber, GbE, VDSL and 4G LTE wireless in an “all in one” solution.  Quantum Spark is also optimized for delivery by managed service providers as a monthly subscription, so SMBs can be secure regardless of their budget.”

Check Point’s Quantum Spark Gateways 1500 four-model series is now being expanded with two new models, 1600 and 1800.The full line of gateways allows supporting businesses ranging from one employee all the way to 500. Quantum Spark Gateway users benefit from:

• Highest levels of security with automated threat prevention: All models include Check Point’s award-winning SandBlast Zero Day Protection with up to 2Gb of threat prevention performance and over 60 security services focused on threat prevention.
• Automatic set-up in 60 seconds: All models feature zero-touch provisioning, which means they deliver full protection out-of-the-box inside one minute.
• Flexible connectivity: Quantum Spark Gateways include Gigabit Ethernet, Wi-Fi and integrated cellular LTE modems, giving users the widest range of connectivity options.  Quantum Spark gateways also support multiple internet service providers and performance-based routing, delivering the best bandwidth and quality of service for applications.
• Easy, intuitive management: Check Point’s WatchTower mobile application enables staff to monitor their security status and quickly mitigate any threats directly from the mobile device. Security can also be managed from any bowser, using a cloud-based portal with intuitive web UI.
• Complete protection for remote employees and cloud applications: In addition to the network protection Quantum Spark gateways provide, businesses can protect all laptops and PCs against threats such as malware, ransomware and phishing with Check Point endpoint protection, and secure employees’ smartphones with Check Point mobile protection. Email and docs can be protected with Check Point email security.

“Check Point’s Quantum Spark gateways simply do their job of automatically protecting against all types of threat, without needing management attention or manual updates.  This gives us peace of mind and enables us to focus on our business,” said Trevor Rowley, Managing Director, Optix Business Management Software.

“Small businesses are experiencing the same types of advanced, stealthy cyber-threats as large enterprises, but SMBs often don’t have the resources or security knowledge to fully protect themselves against today’s advanced cyber-threats,” said Itai Greenberg, VP of Product Management at Check Point Software Technologies. “The new Quantum Spark gateways give small and medium-size businesses the most advanced protection for their networks and employees’ devices, so they benefit from enterprise-grade automated security, together with easy intuitive management.”

For full details and specifications of the six models in the Quantum Spark Gateway range, visit this webpage.

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ErgoValuator

Overexertion injuries threaten every company and can happen when workers handle materials or equipment.

With the app, Liberty Mutual’s Risk Control consultants record a video of an employee performing a task, answer a few questions about the job, and within minutes can understand the likelihood of the task injuring the worker. Videos can also be sent from employers to Liberty Mutual consultants for quick analysis.

“Reducing injuries require employers systematically identify risks, evaluate options and implement best practices, which can be time consuming,” said Liberty Mutual Vice President and General Manager of Risk Control James Merendino.  “We drew on our long tradition of leveraging technology to improve safety – which dates back to the 1980’s – to develop an app that relies on sophisticated artificial intelligence to dramatically speed that process.”

By superimposing a wireframe skeleton over the image of the worker, the app shows how the current task stresses that individual. The app then reports the percentage of the population that can safely perform the task as currently designed. Employers can then adjust the task, quickly evaluate the new process, and confirm it can be safely performed by more employees.

To build the app, Liberty Mutual partnered with Kinetica Labs, a pioneer in the application of computer vision and artificial intelligence for occupational safety.  The ErgoValuator app blends the insurer’s decades of safety research with Kinetica’s sophisticated object recognition and machine learning software. The result is a powerful but simple to use tool that enables employers to address the biggest single source of workplace injury and costs.

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“We’ve always been laser-focused on elevating customer support and self-service experiences,” said Vishal Sharma, CTO of SearchUnify. “Mamba ‘21 empowers teams to fully realize the cognitive power with a host of new apps, features, and enhancements.”

“One addition that I’m particularly excited about is the Escalation Predictor. As the name suggests, it analyzes various aspects of a ticket to predict the likelihood of its escalation, helping provide timely resolution ensuring a better CSAT. The app will further strengthen the platform’s existing suite of AI-powered apps aimed at streamlining, optimizing, and future-proofing the support ecosystem.”

The SearchUnify Chatbot that’s hailed as “best of breed” by TSIA now comes packed with even more power. It now supports chat in multiple languages and comes with readymade and customizable stories, which further expedite its training and quicken its time to value.

“We’re expanding our suite of custom apps built on top of our cognitive search platform beyond customer support function to enable best-in-class experiences for sales, customer onboarding and success teams,” added Vishal Sharma. To that vision, SearchUnify has made major enhancements to its cognitive search platform to elevate content findability. These enhancements include significantly faster speed of search, better access control with a super admin, more relevant auto-synonym suggestions with Synonyms 3.0, new analytics reports and more powerful search analytics, cleaner and configurable search results display page, Regex-based keyword tuning, and more.

“Today, the need to distinctly identify and elevate customer experience is a burning business requirement,” said Alok Ramsisaria, CEO of Grazitti Interactive, SearchUnify’s parent company. “CX is the currency in this customer economy. If customers think your service isn’t up to the mark, they will switch. This opportunity cost of losing customers can be averted with an augmented system. Mamba ‘21 enables us to rapidly advance our mission towards that end by furthering our ongoing commitment to customer and self-service.”

“We’re going full steam ahead! Most of the new features and enhancements have been implemented not just for a persona but while working closely with our customers. They have always been our driving force. This is why the AI-fueled platform is constantly getting lauded for the sheer convenience and category-leading capabilities,” he added.

SearchUnify is a cognitive search platform for enterprises that fuels multiple applications for various industries and functions. Some of these applications are Intelligent Chatbots, Agent Helper, Community Helper, KCS Enabler, and Escalation Predictor. Companies like Rubrik, Flexera, Databricks, Kronos, and Zuora trust SearchUnify for enhancing their customer and employee experience with revolutionized information discovery.

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