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Darktrace Transforms Security Operations and Improves Cyber Resilience with Launch of Darktrace ActiveAI Security Platform™

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Darktrace, a global leader in cybersecurity AI, today introduced the Darktrace ActiveAI Security Platform. The platform includes Darktrace’s existing best-in-class security products supplemented by a set of new industry-first innovations and features, including for email and operational technology (OT). The platform uses AI to transform security operations from reactive to proactive and improve cyber resilience. To uplift human security analysts, the platform identifies weaknesses in security controls and processes before they are exploited, detects and responds to unknown, known, and novel threats, and automates the investigation of every alert to completion to reduce the manual triage process. Core to the platform is the ability to visualize, correlate, and investigate security incidents across cloud, email, network, endpoint, identity, and OT, as well as third-party tools and applications.
“At Capital Brands, we have a small team so maximizing our technology investments is crucial to ensure we are operating as efficiently and effectively as possible,” said Peter Huh, CIO & CTO, Capital Brands, which develops and sells domestic appliances with a focus on wellness nutrition to households in over 100 markets worldwide. “Darktrace’s platform acts as a force multiplier for us, allowing our team to move away from the purely reactive nature of cybersecurity – which often leaves security teams one step behind – to a more proactive state. We gain a deep understanding of our environment that helps us prioritize in a way we haven’t been able to in the past. We can automatically identify vulnerabilities so we can quickly remediate the things that matter and deprioritize the things that don’t.”
“Security teams are reaching a breaking point, forced into a reactive state by too many alerts, too little time, and a fragmented security stack,” said Max Heinemeyer, Chief Product Officer, Darktrace. “Building on a decade of experience applying AI to transform security operations for thousands of customers, the Darktrace ActiveAI Security Platform takes a unique approach from the rest of the industry. It correlates incidents across the digital environment and automates investigations to uplift security teams and free them from the manual, time-intensive alert triage process so they can focus their time on building proactive cyber resilience.”
New Report Finds Lack of Cyber Preparedness in an AI-Threatened WorldAI is beginning to amplify the already complex threats faced by cyber security professionals. The rise of offensive AI combined with automation and cybercrime-as-a-service is increasing the speed, sophistication, and success of cyber security attacks. Multi-stage and multi-domain attacks are now widely used by adversaries, who take advantage of a lack of visibility and siloes to move undetected between systems.
A new Darktrace-commissioned report released today underscores the challenges facing businesses in this rapidly evolving cyber-threat landscape. Darktrace’s State of AI Cybersecurity 2024 report, which surveyed nearly 1,800 security leaders and practitioners in 14 countries, found 74 percent of respondents believe AI-augmented cyber threats are already having a significant impact on their organizations, yet 60 percent believe they are currently unprepared to defend against these attacks. The AI Cybersecurity report also found:

Organizations face two top inhibitors to defending against AI-augmented threats: insufficient knowledge or use of AI-driven countermeasures[1] and insufficient personnel to manage tools and alerts[2].
Security professionals surveyed believe defensive AI will effectively counter offensive AI, with 71 percent of respondents indicating they are confident that AI-augmented security solutions will be able to detect and block AI-augmented threats. However, only 26 percent fully understand which types of AI are used in their security stack today.
As they prepare for these threats, security teams want to consolidate their tools. 85 percent of those surveyed agreed that a platform approach is more effective at stopping threats.

Introducing the Darktrace ActiveAI Security PlatformAgainst this backdrop, Darktrace is introducing the Darktrace ActiveAI Security Platform to help organizations transform their security operations from a focus on reactive threat detection to proactive cyber resilience. The platform includes Darktrace’s core detection and autonomous response capabilities with pre-breach prevention, attack simulation and recovery capabilities in a single, holistic solution with a common AI architecture. The platform enables teams to visualize and correlate events across a broad set of domains including cloud, email, endpoint, identity, network, and OT environments.
The platform is built on Darktrace’s Self-Learning AI engine, which directly applies multiple types of Al to the data of each business so that it can continuously learn from its unique digital environment to understand what is normal and what is not. Darktrace’s AI detects known, unknown, and novel threats in real-time and provides an autonomous response that contains active threats without disrupting business operations.
New features and innovations unveiled today in the Darktrace ActiveAI Security Platform include:

More explainable, automated, and customizable investigations for all alerts: Darktrace Cyber AI Analyst will now reveal the results of its investigations for every security alert, rather than just those escalated to an incident. This helps security analysts understand how the AI reached its conclusion that escalation wasn’t required. Cyber AI Analyst also can now be customized to perform investigations that are tailored to each business’s unique needs. For example, it can investigate activity surrounding a threat intelligence finding from a 3rd party alert for evidence of a cyber incident or investigate activity surrounding violations of a company-specific compliance policy for evidence of an insider threat. Cyber AI Analyst was first introduced in 2019 and uses AI trained to mirror how human security analysts conduct investigations. Unique in the industry, it automatically investigates every alert to completion and identifies precise response actions that can be taken autonomously to contain threats. Rather than security teams triaging a small portion of alerts, Cyber AI Analyst triages all of them. This helps to reduce alert fatigue and free up time for security teams, who can instead focus on proactively hardening their security controls and refining incident handling procedures.
Decryption: The platform will include new integrations with third-party network solutions to provide decrypted traffic feeds and decryption keys. It will also include native decryption for Microsoft Windows and Apple Mac applications, including internet browsers.
New Firewall Rule Analysis to Pre-empt Threats: Darktrace PREVENT/End-to-End, which provides pre-breach preparation, now includes the ability to analyze firewall rules, allowing it to provide a more comprehensive view of potential unauthorized traversal points or attack paths within IT, OT or in between, identifying risks in configuration and pre-empt threats.

Additionally, Darktrace will release enhancements to its best-in-class email and OT security solutions, which can be purchased as stand-alone products based on each organization’s unique project needs.
Darktrace/Email will include new features that use AI to stop early-stage phishing, spot early symptoms of account compromise across a broader range of communications and increase SOC efficiency. The new features include:

New data loss prevention capabilities that use AI to detect abnormal user behavior and changes to content beyond those offered by native email providers, helping teams identify the full spectrum of accidental and malicious data loss.
Coverage for Microsoft Teams to detect and stop novel, insider, and sophisticated early phishing threats often missed by other solutions, especially when communications span both collaboration and email tools.
New Darktrace/DMARC creates an easy way to help protect an organization’s brand with an industry first AI-assisted deployment of the Domain-based Message Authentication (DMARC) email authentication protocol to continuously stop others spoofing and phishing from a business’s domain names.
More robust account takeover protection that can now prevent lateral mail compromise with an addition to our AI behavioral profile for each user that spots early symptoms of account compromise and malicious insiders before a link or attachment payload is sent and exfiltration occurs.
New Mailbox Security Assistant feature helps to reduce reporting of potential false positives by 60 percent[3], which can help the security team save time on analysis. The feature provides end-users with a natural language summary and context of why an email may be malicious. This helps improve their knowledge and decrease the risk of successful phishing attempts.
New behavioral link analysis capabilities that can reveal hidden intent within interactive and dynamic webpages to help users and security teams detect more sophisticated malicious phishing links.

Darktrace/OT will include new capabilities that go beyond traditional Common Vulnerability and Exposure (CVE) scoring to help organizations identify, prioritize, mitigate, and continuously review the risks and potential attack paths that are specific to their OT infrastructure. In addition to identifying and prioritizing risks more effectively, Darktrace/OT can now evaluate each business’s defenses against the tactics of Advanced Persistent Threat (APT) Groups. Darktrace/OT maps MITRE techniques and known threat groups tools, tactics, and procedures (TTPs) against unique attack paths identified within the business.
Availability New features in the Darktrace ActiveAI Security Platform are expected to be available in early calendar Q2 2024.
Additional Resources

Tune in to the Darktrace Virtual Innovation Launch at 1pm BST or 2pm ET. A replay of the event will be available on demand, and you can read more about the platform on the Darktrace blog here.
Download the full Darktrace State of AI Cybersecurity Report and read the post on the Darktrace blog.
Go deeper on the new innovations in Darktrace/Email and Darktrace/OT on the Darktrace blog.

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Sainsbury’s aims to be an ‘AI-enabled grocer’ with Microsoft AI technology

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Sainsbury’s, a prominent UK supermarket chain, is set to leverage Microsoft’s artificial intelligence and machine learning tools to elevate its store operations and provide customers with a more engaging and convenient shopping experience.
As part of its strategic initiative, the ‘Next Level Sainsbury’s strategy’, the supermarket will integrate generative AI, powered by Microsoft Azure, to enhance its online shopping platform and optimize customers’ search experience. By harnessing AI capabilities, Sainsbury’s aims to offer a more interactive and personalized online shopping journey for its millions of customers across the UK.
In addition to enhancing the online shopping experience, Sainsbury’s plans to equip its store colleagues with real-time data and insights to streamline in-store processes such as shelf replenishment. Leveraging multiple data inputs, including shelf-edge cameras, AI technology will guide colleagues on prioritizing restocking activities, thereby improving efficiency and productivity.
Over the next five years, Sainsbury’s will deploy Microsoft Azure to implement these initiatives, integrating data assets with Microsoft 365 collaboration tools to drive innovation and operational excellence.
Clodagh Moriarty, Chief Retail and Technology Officer at Sainsbury’s, expressed confidence in the collaboration with Microsoft, emphasizing its role in accelerating the supermarket’s ambition to become the UK’s leading AI-enabled grocer. Moriarty highlighted the strategic investment in transformative capabilities, aimed at enhancing efficiency, productivity, and customer service while delivering value to shareholders.
Clare Barclay, CEO of Microsoft UK, commended Sainsbury’s visionary approach, noting its commitment to placing AI at the forefront of its business strategy. Barclay expressed enthusiasm for the collaboration, emphasizing its potential to revolutionize the retail experience for both customers and store colleagues.
The partnership between Sainsbury’s and Microsoft signifies a significant step towards ushering in the next generation of retail, powered by innovative AI-driven solutions.
Source: technologyrecord.com
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Researchers build AI-driven sarcasm detector

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Artificial intelligence has made remarkable strides, from passing bar exams to reading bedtime stories with emotion. Yet, despite these feats, it still falls short of matching the intricate nuances of human communication—particularly, the art of sarcasm.
However, researchers in the Netherlands are determined to change that narrative. They have developed an AI-driven sarcasm detector that can discern when sarcasm is being used, a feat previously thought to be exclusive to human cognition.
Matt Coler, from the University of Groningen’s speech technology lab, expresses excitement about the project’s progress. He emphasizes the importance of understanding sarcasm, a pervasive aspect of human discourse, to facilitate seamless communication between humans and machines.
Recognizing sarcasm poses challenges due to its subtlety, especially in text-based interactions where cues like tone and facial expressions are absent. To overcome this, researchers trained their AI using a combination of text, audio, and emotional content from popular sitcoms like Friends and The Big Bang Theory.
The AI, trained on annotated data from these shows, demonstrated an impressive ability to detect sarcasm in unlabelled exchanges from the sitcoms, achieving an accuracy rate of nearly 75%. Further enhancements are underway, including incorporating visual cues like eyebrow movements and smirks, to improve accuracy even more.
Beyond enhancing interactions with AI assistants, this technology holds potential for detecting negative language and identifying instances of abuse or hate speech. However, as AI becomes more adept at understanding sarcasm, questions arise about its potential to wield sarcasm itself.
Coler muses about the implications of machines responding with sarcasm, raising concerns about clarity in communication. Nonetheless, advancements in AI-driven sarcasm detection offer promising prospects for improving human-machine interactions and bridging the gap between artificial and human intelligence.
Source: theguardian.com

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AI, bias and experiments: how Women in News is tackling tech’s inbuilt stereotypes

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Issues surrounding bias in AI are deeply rooted in the accuracy, trustworthiness, and quality of data, which, if overlooked, can significantly skew outcomes. Lyndsey Jones, an AI author and transformation coach, delves into these concerns, offering valuable insights for newsrooms on monitoring and reviewing data.
Madhumita Murgia, an AI journalist and the first artificial intelligence editor of the Financial Times, sheds light on how women, migrants, precarious workers, and minority groups are disproportionately affected by the technical limitations of Generative AI. Murgia emphasizes the lack of representation of these groups in the development process of AI technologies, highlighting the need for inclusive participation.
WAN-IFRA Women In News workshops on the Age of AI in the newsroom have brought bias effects to the forefront. Through the Digital ABCs training program, media professionals are equipped with skills to navigate the digital landscape and drive organizational change.
A newly launched module focuses on AI, with over 100 participants in eastern Europe taking part, now extended to journalists in parts of Africa, the Middle East, and Southeast Asia. Instances of bias surfaced during the training, such as generating offensive avatars and misinterpretation of accents in AI tools.
Google CEO Sundar Pichai’s acknowledgment of biased AI tools reflects ongoing concerns in the industry. Timnet Gebru’s dismissal from Google for highlighting biases further underscores the need for vigilance in addressing these issues.
Diverse teams in WIN’s Age of AI program are experimenting with various tools like fact-checking and enhancing staff skill sets in AI usage. Projects under consideration for further EU funding include a video lab for content amplification and an AI avatar for journalist safety.
Media companies must ensure diverse staff collaboration when testing AI tools. Quotas for women in AI research and cross-border partnerships may be necessary for smaller media groups to compete effectively.
Journalists can take steps to improve content quality by examining storytelling practices and ensuring diversity in sources and representation. Consistency of data collection across departments and assessing biases in data sets are crucial for ethical AI usage in journalism. Ultimately, AI tools should be used to enhance journalism’s quality and integrity, rather than generating clickbait or misinformation.
Source: wan-ifra.org

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