Technology
Sophos Acquires Braintrace to Provide Next Generation Cybersecurity
By Adedapo Adesanya
Sophos, a global leader in next-generation cybersecurity, has announced the acquisition of Braintrace to manage cyber threats and provide responses to its customers.
This further enhances Sophos’ Adaptive Cybersecurity Ecosystem with Braintrace’s proprietary Network Detection and Response (NDR) technology.
Braintrace’s NDR provides deep visibility into network traffic patterns, including encrypted traffic, without the need for Man-in-the-Middle (MitM) decryption. Located in Salt Lake City, Utah, Braintrace launched in 2016 and is privately held.
As part of the acquisition, Braintrace’s developers, data scientists and security analysts have joined Sophos’ global Managed Threat Response (MTR) and Rapid Response teams.
Sophos’ MTR and Rapid Response services business has expanded rapidly, establishing Sophos as one of the largest and fastest-growing MDR providers in the world, with more than 5,000 active customers.
Braintrace’s NDR technology will support Sophos’ MTR and Rapid Response analysts and Extended Detection and Response (XDR) customers through integration into the Adaptive Cybersecurity Ecosystem, which underpins all Sophos products and services.
The Braintrace technology will also serve as the launchpad to collect and forward third-party event data from firewalls, proxies, virtual private networks (VPNs), and other sources.
These additional layers of visibility and event ingestion will significantly improve threat detection, threat hunting and response to suspicious activity.
Speaking on the acquisition, Mrs Joe Levy, chief technology officer, Sophos said, “You can’t protect what you don’t know is there, and businesses of all sizes often miscalculate their assets and attack surfaces, both on-premises and in the cloud. Attackers take advantage of this, often going after weakly protected assets as a means of initial access.
“Defenders benefit from an ‘air traffic control system’ that sees all network activity, reveals unknown and unprotected assets, and exposes evasive malware more reliably than Intrusion Protection Systems (IPS).”
“We’re particularly excited that Braintrace built this technology specifically to provide better security outcomes to their Managed Detection and Response (MDR) customers.
“It’s hard to beat the effectiveness of solutions built by teams of skilled practitioners and developers to solve real-world cybersecurity problems,” he added.
Sophos will deploy Braintrace’s NDR technology as a virtual machine, fed from traditional observability points such as a Switched Port Analyzer (SPAN) port or a network Test Access Point (TAP) to inspect both north-south traffic at boundaries or east-west traffic within networks.
These deployments help discover threats inside any type of network, including those that remain encrypted, serving as a complement to the decryption capabilities of Sophos Firewall.
The technology’s packet and flow engine feed a variety of machine learning models trained to detect suspicious or malicious network patterns, such as connections to Command and Control (C2) servers, lateral movement and communications with suspicious domains.
Since Braintrace built its NDR technology specifically for predictive, passive monitoring, its engine also provides intelligent network packet capture that IT security administrators and threat hunters can use as supporting evidence during investigations. The novel NDR analysis and prediction technique is patent pending.
On his part, Mr Bret Laughlin, CEO and co-founder of Braintrace said, “NDR is critical to successful threat hunting. Braintrace’s competitive differentiation is its unique NDR technology that our MDR analysts leveraged for finding, interrupting and remediating cyberattacks.
“With our own NDR technology, the team responds faster and more accurately because of the real-time, automated visibility and threat verification they have into encrypted traffic.
“We built Braintrace’s NDR technology from the ground up for detection and now, with Sophos, it will fit into a complete system to provide cross-product detection and response across a multi-vendor ecosystem.”
Braintrace’s NDR technology is a key component for defending against cyberattacks today and in the future.
Sophos research demonstrates how adversaries aggressively and constantly change tactics to evade detection and execute their attacks.
Braintrace’s technology helps uncover malicious C2 traffic from malware, such as ColbaltStrike, BazaLoader and TrickBot, as well as zero-days, that could lead to ransomware and other attacks. This visibility allows threat hunters and analysts to pre-empt any potential ransomware attack, including recent strikes by REvil and DarkSide.
Sophos plans to introduce Braintrace’s NDR technology for MTR and XDR in the first half of 2022.
By Adedapo Adesanya
Lagos State’s representative, Team Nevo, won the 3 Million Technical Talent (3MTT) South-West Regional Hackathon, on Tuesday, December 9, 2025.
The host state took the victory defeating pitches from other south west states, including Oyo, Ogun, Osun, Ekiti, and Ondo States.
This regional hackathon was a major moment for the 3MTT Programme, bringing together young innovators from across the South-West to showcase practical solutions in AI, software development, cybersecurity, data analysis, and other key areas of Nigeria’s digital future.
Launched by the Federal Ministry of Communications, Innovation, and Digital Economy, the hackathon brought together talented young innovators from across the Southwest region to showcase their digital solutions in areas such as Artificial Intelligence (AI)/Machine Learning, software development, data analysis, and cybersecurity, among others.
“This event not only highlights the potential of youth in South West but also advances the digital economy, fosters innovation, and creates job opportunities for our young people,” said Mr Oluwaseyi Ayodele, the Lagos State Community Manager.
Winning the hackaton was Team Nevo, made up of Miss Lydia Solomon and Mr Teslim Sadiq, whose inclusive AI learning tool which tailors academic learning experiences to skill sets of students got the top nod, with N500,000 in prize money.
Team Oyo represented by Microbiz, an AI business tool solution, came in second place winning N300,000 while Team Ondo’s Fincoach, a tool that guides individuals and businesses in marking smarter financial decisions, came third with N200,000 in prize money.
Others include The Frontiers (Team Osun), Ecocycle (Team Ogun), and Mindbud (Team Ekiti).
Speaking to Business Post, the lead pitcher for Team Nevo, Miss Solomon, noted, “It was a very lovely experience and the opportunity and access that we got was one of a kind,” adding that, “Expect the ‘Nevolution’ as we call it, expect the transformation of the educational sector and how Nevo is going to bring inclusion and a deeper level of understanding and learning to schools all around Nigeria.”
Earlier, during his keynote speech, the chief executive officer (CEO) of Sterling Bank, Mr Abubakar Suleiman, emphasised the need for Nigeria’s budding youth population to tap into the country’s best comparative advantage, drawing parallels with commodities and resources like cocoa, soyabeans, and uranium.
“Tech is our best bet to architect a comparative advantage. The work we are doing with technologies are very vital to levelling the playing field.”
By Aduragbemi Omiyale
One of the high points of the 2025 re:Invent was the unveiling of Graviton5, the fifth generation of custom Arm-based server processors from Amazon Web Services (AWS).
Many tech enthusiasts believe that the company pushed the limits with Graviton5, its most powerful and efficient CPU, frontier agents that can work autonomously for days, an expansion of the Amazon Nova model family, Trainium3 UltraServers, and AWS AI Factories suitable for implementing AI infrastructure in customers’ existing data centres.
Graviton5—the company’s most powerful and efficient CPU
As cloud workloads grow in complexity, organizations face a persistent challenge to deliver faster performance at lower costs and meet sustainability commitments without trade-offs.
AWS’ new Graviton5-based Amazon EC2 M9g delivers up to 25% higher performance than its previous generation, with 192 cores per chip and 5x larger cache.
For the third year in a row, more than half of new CPU capacity added to AWS is powered by Graviton, with 98 per cent of the top 1,000 EC2 customers—including Adobe, Airbnb, Epic Games, Formula 1, Pinterest, SAP, and Siemens—already benefiting from Graviton’s price performance advantages.
Expansion of Nova family of models and pioneers “open training” with Nova Forge
Amazon is expanding its Nova portfolio with four new models that deliver industry-leading price-performance across reasoning, multimodal processing, conversational AI, code generation, and agentic tasks. Nova Forge pioneers “open training,” giving organizations access to pre-trained model checkpoints and the ability to blend proprietary data with Amazon Nova-curated datasets.
Nova Act achieves breakthrough 90% reliability for browser-based UI automation workflows built by early customers. Companies like Reddit are using Nova Forge to replace multiple specialized models with a single solution, while Hertz accelerated development velocity by 5x with Nova Act.
Addition of 3 frontier agents, a new class of AI agents that work as an extension of your software development team
Frontier agents represent a step-change in what agents can do. They’re autonomous, scalable, and can work for hours or days without intervention. AWS announced three frontier agents—Kiro autonomous agent, AWS Security Agent, and AWS DevOps Agent. Kiro autonomous agent acts as a virtual developer for your team, AWS Security Agent is your own security consultant, and AWS DevOps Agent is your on-call operational team.
Companies, including Commonwealth Bank of Australia, SmugMug, and Wester Governors University have used one or more of these agents to transform the software development lifecycle.
Unveiling Trainium3 UltraServers
As AI models grow in size and complexity, training cutting-edge models requires infrastructure investments that only a handful of organizations can afford.
Amazon EC2 Trn3 UltraServers, powered by AWS’s first 3nm AI chip, pack up to 144 Trainium3 chips into a single integrated system, delivering up to 4.4x more compute performance and 4x greater energy efficiency than Trainium2 UltraServers.
Customers achieve 3x higher throughput per chip while delivering 4x faster response times, reducing training times from months to weeks. Customers including Anthropic, Karakuri, Metagenomi, NetoAI, Ricoh, and Splash Music are reducing training and inference costs by up to 50 per cent with Trainium, while Decart is achieving 4x faster inference for real-time generative video at half the cost of GPUs, and Amazon Bedrock is already serving production workloads on Trainium3.
By Adedapo Adesanya
The National Information Technology Development Agency (NITDA) has issued an advisory on new vulnerabilities in ChatGPT that could expose users to data-leakage attacks.
According to the advisory, researchers discovered seven vulnerabilities affecting GPT-4o and GPT-5 models that allow attackers to manipulate ChatGPT through indirect prompt injection.
The agency explained that hidden instructions placed inside webpages, comments, or Uniform Resource Locators (URLs) can trigger unintended commands during regular browsing, summarisation, or search actions.
“By embedding hidden instructions in webpages, comments, or crafted URLs, attackers can cause ChatGPT to execute unintended commands simply through normal browsing, summarization, or search actions,” they stated.
The warning followed rising concerns about AI-powered tools interacting with unsafe web content and the growing dependence on ChatGPT for business, research, and public-sector tasks.
NITDA added that some flaws allow the bypassing of safety controls by masking malicious content behind trusted domains.
Other weaknesses take advantage of markdown rendering bugs, enabling hidden instructions to pass undetected.
It explained that in severe cases, attackers can poison ChatGPT’s memory, forcing the system to retain malicious instructions that influence future conversations
They stated that while OpenAI has fixed parts of the issue, Large-Language Models (LLMs) still struggle to reliably separate genuine user intent from malicious data.
The Agency warned that these vulnerabilities could lead to a range of cybersecurity threats, including unauthorised actions carried out by the model; unintended exposure of user information; manipulated or misleading outputs; and long-term behavioural changes caused by memory poisoning, among others.
It advised Nigerians, businesses, and government institutions to adopt several precautionary steps to stay safe. These include limiting or disabling the browsing and summarisation of untrusted websites within enterprise environments and enabling features like browsing or memory only when necessary.
It also recommended regular updates to deployed GPT-4o and GPT-5 models to ensure known vulnerabilities are patched.
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