This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
Ramat Gan, Israel, January 7th, 2025, CyberNewswire — CyTwist , a leader in advanced next-generation threatdetection solutions, has launched its patented detection engine to combat the insidious rise of AI-generated malware.
In this post, we will share our views on a foundational framework for thinking about threatdetection in public cloud computing. To start, let’s remind our audience what we mean by threatdetection and detection and response. Essentially, the realm where you have to detectthreats is different?—?as
This post is a somewhat random exploration of the cloud shared responsibility model relationship to cloud threatdetection. Funny enough, some popular shared responsibility model visuals don’t even include detection, response or security operations. Related blogs: “Why is ThreatDetection Hard?” “On
Hence, using a threat prevention and detection solution that doesn’t disrupt day-to-day operations while providing early warning and stopping potential threats before they escalate is essential. Moreover, one of the most important trends in threatdetection is the move toward artificial intelligence (AI).
SOC Technology Failures?—?Do img src: [link] Most failed Security Operations Centers (SOCs) that I’ve seen have not failed due to a technology failure. Let’s stick to mostly technology focused failures. Perhaps the tool vendor made some incorrect assumptions about how their technology is really used in the real world?
The technology, which first emerged primarily in the world of gaming and entertainment, now promises to reshape our reality with interactive information and immersive experiences. In short, AR is undoubtedly a groundbreaking technology that will reinvent how we interact with the digital world. Related: Is the Metaverse truly secure?
As the threat landscape evolves and multiplies with more advanced attacks than ever, defending against these modern cyber threats is a monumental challenge for almost any. Threatdetection is about an organization’s ability to accurately identify threats, be it to. on your systems, threatdetection is impossible.
To wrap up our 2024 year-end roundtable, we turn our attention to new technologies and trends that are emerging to help bridge the gaps. Despite widespread cloud adoption, most SecOps teams rely on outdated, on-premises alert tools, leading to missed threats and wasted resources on false positives.
One happened to me a few days ago and led to a somewhat heated debate on the nature of modern threatdetection. It also resulted in this half-shallow / half-profound blog that relates detection to cooking and farming! In essence, they want “detection consumption”, not detection engineering. Detection as Code?
Second, a hypothetical CDR tool will need to do its own threatdetection, enable the analysts to triage alerts, support incident investigative workflows and probably do some response automation too. As you can see, I stole some ideas from my original EDR definition so that some useful similarities come out. Should it exist as a market?
This new agentic AI solution leverages semantic reasoning to analyze application code and logic in real time, delivering deterministic vulnerability detection, contextual risk prioritization, and automated remediation. Aptoris AI-driven approach goes beyond traditional static analysis.
11, 2024, CyberNewswire — Sweet Security today announced the availability of its cloud-native detection and response platform on the Amazon Web Services (AWS) marketplace. Sweet’s solution unifies threatdetection across cloud infrastructure, network, workloads, and applications. Tel Aviv, Israel, Nov.
With the increasing reliance on digital technologies for operational efficiency, this sector has become a prime target for sophisticated cyber and physical threats. Leverage data analysis: Data analytics and IoT technologies are revolutionizing the oil and gas sector, enabling better monitoring and threatdetection.
AI-powered threatdetection is enabling organizations to identify and neutralize attacks faster, but adversarial AI is also supercharging cyber threats. According to the report: "AI can analyze vast amounts of security data in real time, identifying anomalies and potential threats faster than traditional methods.
Splunk’s inability to migrate to a modern cloud-native architecture makes it difficult to take advantage of these cost-saving benefits or implement advanced data science use cases critical for threatdetection. Impactful analysis A decoupled, purpose-built threatdetection platform can work across distributed data lake architectures.
Identity threatdetection and response (IDTR) equips enterprises to protect digital identities along with the identity systems that manage them. And it's why identity threatdetection and response (ITDR) should be part of every enterprise's security strategy. Digital identity data is a cybercriminal's favorite target.
Once the recording (for this is what it turned out to be) began with the next line in the pre-programmed speech, with no acknowledgement of my response, I knew I was dealing with a robot powered by technology that simulated a real voice. With every passing day attackers grow more and more intelligent, creative, and technologically advanced.
But as we increasingly move towards more elaborate detection approaches like detection-as-code using languages like the Sigma language , or Python, it is becoming more difficult to deduce in detail how certain threatdetections work. the cornerstone of all effective cyber threatdetection systems is accurate detection.
Its GenAI-infused technology cuts through the noise and delivers actionable recommendations on critical, real-time cloud risks. Leveraging a lean, eBPF-based sensor and deep behavioral analysis, Sweet analyzes anomalies, generating vital insights on incidents, vulnerabilities, and non-human identities.
Hurd Wayne Hurd , VP of Sales, Luminys Video Surveillance as a Service (VSaaS) advancements will provide more accurate threatdetection that allows security teams to focus on real risks, minimizing false alarms. Security teams will need to address the unique risks posed using LLMs in mission critical environments.
GreyNoise Intelligence researchers said proprietary internal AI-based tools allowed them to detect and identify two vulnerabilities in IoT live-stream cameras that traditional cybersecurity technologies would not have been able to discover.
To me, the answer is I need clarity in technologies that we deploy. The clarity is essential to match products to requirements, to compare tools, and to cover the gaps in detection and response posture (and in security in general). Somebody asked me on social media why I am so obsessed with XDR. What do you think?
With the addition of Kenna Security into our program we now have over 250 technology partners and over 400 integrations for our mutual customers to utilize. An integration with Cigent Technology is now available for Secure Endpoint customers to integrate with. Kenna has a healthy 3rd Party ecosystem of technology partners.
One of the main culprits for these incredibly frustrating attacks has not so much to do with how a team functions or the protocols a company employs, but instead, it’s a procurement issue that results from supply-chain shortcomings and the hard-to-detect vulnerabilities layered into a particular device. Threatdetection.
Skills, Not Tiers” “Beware: Clown-grade SOCs Still Abound”” “Revisiting the Visibility Triad for 2020” Top 5 posts with the most Medium fans : “Security Correlation Then and Now: A Sad Truth About SIEM” “Beware: Clown-grade SOCs Still Abound” “Can We Have “Detection as Code”?” “Why Why Is ThreatDetection Hard?” “A
Kaspersky Managed Detection and Response service (MDR) provides round-the-clock monitoring and threatdetection, based on Kaspersky technologies and expertise. The annual MDR analyst report presents insights based on the analysis of incidents detected by Kaspersky’s SOC team.
This ongoing evolution demands continuous investment in both training for an MSPs security team and the latest technologies to effectively detect and mitigate new types of threats. MSPs that partner with OpenText MDR gain the speed, expertise, and oversight needed to combat these threats head-on.
The future of finance is being reshaped by blockchain technology. This revolutionary technology has the potential to revolutionize how people and businesses interact with money, from offering greater transparency and better security to faster speeds and lower costs.
Nayyar: Many security vendors want a piece of the SIEM market, even if their technology isn’t necessarily purpose-built. Gurucul pioneered UEBA technology a decade ago – in fact our company was built around this capability. Can you frame how legacy security tools (NGFW, WAF, web gateways, SIEM, SOAR, UEBA, XDR, VM, IAM, etc.)
Second, the design of security solutions struggled to scale up properly or adapt to the technological changes in the industry, especially in disaggregated compute networks. The good news is, artificial intelligence is here and is showing great promise to deliver what the market needs, that is, pre-emptive and proactive threatdetection.
All security technologies have their own alerting systems, requirements for patches and updates, integration needs, user nuances, policy management processes, access control, reporting, etc. One tool picking up prominence is Extended Detection and Response (XDR.). This is why cyber gangs tend to favor layered attacks.
I did tend to treat every technology that analyzes log files and perhaps other similar telemetry as a SIEM. Imagine this technology was never born (as SIM and SEM) back in the murky?—?but Anybody would be free to invent a technology to analyze security telemetry (logs, endpoint traces, traffic) and call it whatever they want.
Emerging at the forefront of technological innovation, Generative AI is reshaping the landscape of cybersecurity defense with groundbreaking advancements. This blog delves into 5 Ways Generative AI is Revolutionizing Cybersecurity Defense and how we protect digital assets.
Related: Taking a security-first path The good news is that next-gen security platforms designed to unify on-prem and cloud threatdetection and remediation are, indeed, coalescing. The inadequacy of siloed security solutions is well-documented. Please give a listen to the accompanying podcast for a full drill down.
. #4 Untested Tooling and Technology Under Stress: The SOC relies on tools and technologies that have not been rigorously tested under high-stress scenarios or against real-world attack simulations. This reveals weaknesses when the pressure is on.
It is also a celebration of Canadian thought leadership on very important business and technology topics that are directly impacting Canadians quality of life as well as their pocketbooks." Key findings: the cyber threat landscape in 2025 1.
Its not just about waiting for an alert; it’s about actively searching for hidden threats in real-time. Threat hunting involves a combination of human expertise and advanced technologies that continuously analyze system data, identifying suspicious patterns or behaviors.
Prioritize continuous threatdetection. Maintaining continuous observability of the trading system is essential for early threatdetection. Prompt detection and response to potential security incidents mitigate the impact of breaches, ensuring ongoing protection of investor data.
Harnessing a powerful hands-on lab platform, cutting-edge technology, a global video distribution network, and world-class instructors, INE Security is the top training choice for Fortune 500 companies worldwide for cybersecurity training in business and for IT professionals looking to advance their careers.
Just as Rapunzel used her ingenuity to maintain contact with the outside world, organizations must leverage technology to enable secure remote work while minimizing vulnerabilities. Check out our full slate of in-person and virtual events for 2025.
MSPs delivering MDR services need tools and processes that can keep pace with todays threats. A cloud-based SIEM is the essential technology that enables the MDR service to deliver rapid detection, triage and investigation. It allows MSPs to deliver consistent, effective threatdetection and response.
Machine learning and artificial intelligence (AI) are becoming a core technology for some threatdetection and response tools. Here are the nine most common ways attackers leverage these technologies. Defenders have been using machine learning to detect spam for decades, says Fernando Montenegro, analyst at Omdia.
Cybersecurity teams must always up-level their own technology and strategies but, with limited time and resources, may find themselves asking questions like: Should I request funds for this initiative? What about insourcing or outsourcing threat management? . 4) Developing Accurate ThreatDetection.
By offering OpenText MDR to your MSP clients, you gain access to skilled security experts and advanced technology infrastructurewithout the complexity and cost of building it all in-house. This advanced approach safeguards your clients from evolving threats on all frontsfrom endpoint to cloud.
We organize all of the trending information in your field so you don't have to. Join 28,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content