The security threats organizations are most concerned about [Q&A]
The cybersecurity landscape is constantly evolving and organizations need to stay up to date if they're to adequately protect themselves.
At the end of last year, O'Reilly released its 2024 State of Security survey, which analyzes the threats that concern frontline practitioners most, the projects they're implementing to safeguard systems and infrastructure, the skills companies are hiring for, and more.
The rise of adversarial AI threatens smaller organizations
Email remains a vital channel for business communications, but the availability of easy-to-use AI tools makes protecting the inbox a challenge as it's easier than ever for cybercriminals to launch sophisticated attacks.
A new report from Abnormal Security charts the rise of adversarial AI which has seen a 54 percent year-on-year rise in business email compromise attacks.
Deepgram launches improved AI-based voice transcription for enterprises
Accurate voice transcription is important for enterprises, whether it's to ensure appropriate responses or create accurate records.
However some situations make this challenging to achieve -- where there are multiple speakers or noisy backgrounds, for example. With the launch today of Nova-3, its most advanced speech-to-text (STT) model to date, Deepgram is looking to offer greater accuracy along with self-service customization to tailor results for industry-specific needs.
Regulated industry execs say security detection tech falls short
A new report reveals that 74 percent of IT security directors in regulated industries in the US and UK find detection-based security technologies outdated and inadequate.
The study from Everfox shows more than three-quarters of those polled believe security teams in regulated industries must shift their mindset from detecting threats to preventing them. 62 percent agree that AI and emerging malicious actor trends are increasing attack sophistication.
Ensuring transparency when deploying AI [Q&A]
There are many factors to consider when deploying AI into an organization, not least of which is maintaining transparency and trust in the process.
We spoke to Iccha Sethi, VP of engineering at Vanta, to learn more about why transparency is so important and how governments and enterprises are responding to this challenge.
GenAI is changing enterprise priorities with privacy a major concern
The latest Enterprise Cloud Index (ECI) survey from Nutanix shows that that while 80 percent of organizations have already implemented a GenAI strategy, implementation targets vary significantly.
Organizations are eager to leverage GenAI for productivity, automation, and innovation, but they also face critical hurdles in the form of data security, compliance, and IT infrastructure modernization. 95 percent of respondents agree that GenAI is changing their organization’s priorities
Phishing up almost 50 percent since 2021 with AI attacks on the rise
The latest Phishing Trends Report from Hoxhunt -- based on a global sample size of 2.5 million email users, 50 million phishing simulations, and millions of real phishing attacks -- shows a 49 percent increase in phishing since 2021, driven partly by the rise of blackhat AI.
Among the findings are that between 0.7 percent and 4.7 percent of reported phishing attempts are written by AI. This may seem low but to put it into context numbers of AI phishing attempts were negligible six months earlier. Highly targeted, AI-enabled spear phishing attacks with multiple links in the kill chain are on the rise.
60 percent of organizations fail to keep pace with AI-driven data changes
According to a new report, 60 percent of respondents claim that their organization is failing to keep pace with data changes resulting from AI demands.
In addition, the study from Immuta shows that traditional data architecture challenges persist, with nearly half of organizations identifying compliance and privacy as primary data concerns, and 64 percent citing significant challenges in providing timely and secure access to data for authorized users.
Why adopting AI needs a holistic approach [Q&A]
It's an increasingly rare system these days that doesn't claim to have incorporated artificial intelligence in some form or another.
But when implementing AI it's important to look beyond the hype and ensure that it can deliver real value for the business. We spoke to Ajay Kumar, CEO of SLK Software, about the need for a holistic approach to allow enterprises to leverage AI for solving complex business challenges.
The challenges of managing non-human identities [Q&A]
Non-human identities (NHIs) outnumber human identities by between 10 and 50 times, but the industry lacks solutions to properly address this hole in the security perimeter.
Traditional IAM solutions and best practices aren't sufficient when it comes to managing NHIs, as evidenced by some recent breaches that have stemmed from exploitation of NHIs.
Deepfakes, workforce fraud and phishing incidents on the rise across businesses
Half of businesses have reported a growth in deepfake and AI-generated fraud, alongside rising biometric spoofs and counterfeit ID fraud attempts, according to the 2025 State of Identity Fraud Report, released today by AuthenticID.
The report analyzes internal proprietary data anonymized from AuthenticID's identity verification and fraud detection technology. When paired with insights from annual fraud surveys of both fraud and technology professionals as well as consumers in North America, the report offers a comprehensive view of the fraud landscape.
AI-powered Chrome extensions are watching you…
It's not exactly Big Brother, but a new analysis of Chrome extensions from Incogni reveals that 67 percent collect user data, and 41 percent collect personally identifiable information (PII), including sensitive details like credit card numbers, passwords, and location data.
Extensions like Grammarly, which make writing almost anything effortless, or Vetted, which act as online shopping assistants, are quickly becoming essentials of everyday life. But because many users trust Google's ecosystem, they also assume that third-party extensions vetted through the Chrome Web Store are equally safe.
AI use drives APIs to become the main attack surface
A new report reveals that APIs have emerged as the predominant attack surface over the past year, with AI being the biggest driver of API security risks.
The survey from Wallarm, of 200 US-based enterprise leaders on AI and API security, finds over 53 percent report engaging in multiple AI deployments. These deployments are primarily enabled by API technology, cementing APIs as the foundation of enterprise AI adoption. However, while AI integration drives rapid API adoption across industries, it also introduces unique risks.
A third of companies don't know who is managing their AI risks
While 51 percent of organizations rely on their security teams to manage AI risks, 33 percent say that they either lack a dedicated role or are unsure who holds responsibility for AI risk management.
A new report from Wing Security and the Cloud Security Alliance also highlights that only 44 percent of organizations prioritize protecting all their sanctioned applications, while a mere 17 percent include unsanctioned ones as a priority.
DeepSeek -- the Chinese AI that sparked a stock market panic
Today has seen millions of dollars wiped off US market tech stocks by the launch of DeepSeek, the latest Chinese AI that threatens US dominance in the sector.
This is partly because DeepSeek can run on much less powerful hardware than rivals such as OpenAI's o1. DeepSeek also says that its v3 model, released in December, cost less than $6 million to train, less than a tenth of what Meta spent on its most recent system.
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