Latest news with #Qualys
Yahoo
3 days ago
- Business
- Yahoo
Zscaler (ZS) Reports Earnings Tomorrow: What To Expect
Cloud security platform Zscaler (NASDAQ:ZS) will be reporting results tomorrow after market close. Here's what to look for. Zscaler beat analysts' revenue expectations by 2.1% last quarter, reporting revenues of $647.9 million, up 23.4% year on year. It was a very strong quarter for the company, with an impressive beat of analysts' annual recurring revenue estimates and an impressive beat of analysts' EBITDA estimates. Is Zscaler a buy or sell going into earnings? Read our full analysis here, it's free. This quarter, analysts are expecting Zscaler's revenue to grow 20.6% year on year to $667 million, slowing from the 32.1% increase it recorded in the same quarter last year. Adjusted earnings are expected to come in at $0.76 per share. Analysts covering the company have generally reconfirmed their estimates over the last 30 days, suggesting they anticipate the business to stay the course heading into earnings. Zscaler has missed Wall Street's revenue estimates twice over the last two years. Looking at Zscaler's peers in the cybersecurity segment, some have already reported their Q1 results, giving us a hint as to what we can expect. Palo Alto Networks delivered year-on-year revenue growth of 15.3%, beating analysts' expectations by 0.5%, and Qualys reported revenues up 9.7%, topping estimates by 1.8%. Palo Alto Networks traded down 6.9% following the results while Qualys's stock price was unchanged. Read our full analysis of Palo Alto Networks's results here and Qualys's results here. There has been positive sentiment among investors in the cybersecurity segment, with share prices up 8.5% on average over the last month. Zscaler is up 14.5% during the same time and is heading into earnings with an average analyst price target of $245.50 (compared to the current share price of $256.20). When a company has more cash than it knows what to do with, buying back its own shares can make a lot of sense–as long as the price is right. Luckily, we've found one, a low-priced stock that is gushing free cash flow AND buying back shares. Click here to claim your Special Free Report on a fallen angel growth story that is already recovering from a setback. Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
TECHx
3 days ago
- Business
- TECHx
Qualys TotalAI Enhances LLM Security Features
Home » Tech Value Chain » Global Brands » Qualys TotalAI Enhances LLM Security Features Qualys, Inc. (NASDAQ: QLYS) has announced major updates to its Qualys TotalAI solution. The enhancements aim to secure the complete MLOps pipeline, from development to deployment. The company revealed that organizations can now test large language models (LLMs) more rapidly, even during development cycles. These updates bring stronger protection against new threats and introduce on-premises scanning with an internal LLM scanner. As AI adoption accelerates, security remains a critical concern. A recent study reported that 72% of CISOs are worried generative AI could cause breaches. Enterprises need tools that balance innovation with secure implementation. Tyler Shields, principal analyst at Enterprise Strategy Group, emphasized the importance of security. He noted that Qualys TotalAI allows only trusted, vetted models in production, helping organizations manage risk while remaining agile. Qualys TotalAI addresses AI-specific risks. It tests models for jailbreak vulnerabilities, bias, sensitive data leaks, and threats aligned with the OWASP Top 10 for LLMs. The solution goes beyond infrastructure checks and supports operational resilience and brand trust. Key updates include: Automatic risk prioritization: Using MITRE ATLAS and the Qualys TruRisk™ engine, risks are scored and ranked for faster resolution. Secure development integration: On-premises LLM scanning enables in-house testing during CI/CD workflows, improving agility and protection. The platform also detects 40 types of attack scenarios. These include jailbreaks, prompt injections, bias amplification, and multilingual exploits. These scenarios simulate real-world tactics to improve model resilience. Another update is protection from cross-modal exploits. TotalAI can now detect manipulations hidden in images, audio, and video files meant to alter LLM outputs. Sumedh Thakar, president and CEO of Qualys, said the solution offers visibility, intelligence, and automation across AI lifecycles. He added that TotalAI helps companies innovate confidently while staying ahead of emerging threats. Qualys TotalAI is now positioned as one of the most comprehensive AI security solutions available today.
Channel Post MEA
3 days ago
- Business
- Channel Post MEA
Qualys Updates TotalAI Solution
Qualys has announced major updates to its TotalAI solution to secure organizations' complete MLOps pipeline from development to deployment. Organizations will now be able to rapidly test their large language models (LLMs), even during their development testing cycles, with stronger protection against more attacks and on-premises scanning powered by an internal LLM scanner. With the current rush of AI adoption, organizations are moving at an unprecedented pace – often without implementing foundational security controls necessary to manage risk. A recent study revealed 72% of CISOs are concerned generative AI solutions could result in security breaches for their organizations. Enterprises need a better solution to bridge the gap between innovation and secure implementation. As AI becomes a core component of business innovation, security can no longer be an afterthought,' said Tyler Shields, principal analyst at Enterprise Strategy Group. 'Qualys TotalAI ensures that only trusted, vetted models are deployed into production, enabling both agility and assurance across organizations' AI usage. This security helps organizations achieve their innovation goals while managing their risk.' Qualys TotalAI is purpose-built for the unique realities of AI risk, going beyond basic infrastructure assessments to directly test models for jailbreak vulnerabilities, bias, sensitive information exposure, and critical risks mapped to the OWASP Top 10 for LLMs. Taking a risk-led approach, TotalAI not only finds AI-specific exposures — it helps teams resolve them faster, protect operational resilience, and maintain brand trust. TotalAI delivers: Automatic Prioritization of AI Security Risks : Findings are mapped to real-world adversarial tactics with MITRE ATLAS and automatically prioritized through the Qualys TruRisk scoring engine, helping security, IT, and MLOps teams zero in on the most business-critical risks. : Findings are mapped to real-world adversarial tactics with MITRE ATLAS and automatically prioritized through the Qualys TruRisk scoring engine, helping security, IT, and MLOps teams zero in on the most business-critical risks. Faster, Safer AI Application Development: With the new internal on-premises LLM scanner, organization can now incorporate comprehensive security testing of their LLM models during development, staging, and deployment – all without ever exposing models externally. This shift-left approach, incorporating security and testing of AI-powered applications into existing CI/CD workflows, strengthens both agility and security posture, while ensuring sensitive models remain protected behind corporate firewalls. With the new internal on-premises LLM scanner, organization can now incorporate comprehensive security testing of their LLM models during development, staging, and deployment – all without ever exposing models externally. This shift-left approach, incorporating security and testing of AI-powered applications into existing CI/CD workflows, strengthens both agility and security posture, while ensuring sensitive models remain protected behind corporate firewalls. Enhanced Defense Against Emerging AI Threats: TotalAI now expands to detect 40 different attack scenarios, including advanced jailbreak techniques, prompt injections and manipulations, multilingual exploits, and bias amplification. The expanded scenarios simulate real-world adversarial tactics and strengthen model resilience against exploitation, preventing attackers from manipulating outputs or bypassing safeguards. TotalAI now expands to detect 40 different attack scenarios, including advanced jailbreak techniques, prompt injections and manipulations, multilingual exploits, and bias amplification. The expanded scenarios simulate real-world adversarial tactics and strengthen model resilience against exploitation, preventing attackers from manipulating outputs or bypassing safeguards. Protection from Cross-modal Exploits with Multimodal Threat Coverage: TotalAI's enhanced multimodal detection identifies prompts or perturbations hidden inside images, audio, and video files that are designed to manipulate LLM outputs, helping organizations safeguard against cross-modal exploits. 'AI is reshaping how businesses operate, but with that innovation comes new and complex risks,' said Sumedh Thakar, president and CEO of Qualys. 'TotalAI delivers the visibility, intelligence, and automation required to stay agile and secure, protecting AI workloads at every stage — from development through deployment. We are proud to lead the way with the industry's most comprehensive solution, helping businesses innovate with confidence, while staying ahead of emerging AI threats.' 0 0
Yahoo
4 days ago
- Business
- Yahoo
SentinelOne (S) Q1 Earnings: What To Expect
Cyber security company SentinelOne (NYSE:S) will be reporting earnings tomorrow after market close. Here's what to look for. SentinelOne beat analysts' revenue expectations by 1.4% last quarter, reporting revenues of $225.5 million, up 29.5% year on year. It was a slower quarter for the company, with a significant miss of analysts' billings estimates and full-year guidance of slowing revenue growth. It added 101 enterprise customers paying more than $100,000 annually to reach a total of 1,411. Is SentinelOne a buy or sell going into earnings? Read our full analysis here, it's free. This quarter, analysts are expecting SentinelOne's revenue to grow 22.5% year on year to $228.2 million, slowing from the 39.7% increase it recorded in the same quarter last year. Adjusted earnings are expected to come in at $0.02 per share. Analysts covering the company have generally reconfirmed their estimates over the last 30 days, suggesting they anticipate the business to stay the course heading into earnings. SentinelOne has missed Wall Street's revenue estimates twice over the last two years. Looking at SentinelOne's peers in the cybersecurity segment, some have already reported their Q1 results, giving us a hint as to what we can expect. Varonis delivered year-on-year revenue growth of 19.6%, beating analysts' expectations by 2.3%, and Qualys reported revenues up 9.7%, topping estimates by 1.8%. Varonis traded up 2.2% following the results while Qualys's stock price was unchanged. Read our full analysis of Varonis's results here and Qualys's results here. There has been positive sentiment among investors in the cybersecurity segment, with share prices up 7.3% on average over the last month. SentinelOne is up 7.3% during the same time and is heading into earnings with an average analyst price target of $24.53 (compared to the current share price of $19.80). When a company has more cash than it knows what to do with, buying back its own shares can make a lot of sense–as long as the price is right. Luckily, we've found one, a low-priced stock that is gushing free cash flow AND buying back shares. Click here to claim your Special Free Report on a fallen angel growth story that is already recovering from a setback. Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Yahoo
5 days ago
- Business
- Yahoo
Okta (OKTA) Q1 Earnings: What To Expect
Identity management software maker Okta (OKTA) will be announcing earnings results tomorrow after market close. Here's what to look for. Okta beat analysts' revenue expectations by 2.1% last quarter, reporting revenues of $682 million, up 12.7% year on year. It was a strong quarter for the company, with an impressive beat of analysts' billings estimates and a solid beat of analysts' EBITDA estimates. Is Okta a buy or sell going into earnings? Read our full analysis here, it's free. This quarter, analysts are expecting Okta's revenue to grow 10.2% year on year to $680.1 million, slowing from the 19.1% increase it recorded in the same quarter last year. Adjusted earnings are expected to come in at $0.77 per share. Analysts covering the company have generally reconfirmed their estimates over the last 30 days, suggesting they anticipate the business to stay the course heading into earnings. Okta has missed Wall Street's revenue estimates twice over the last two years. Looking at Okta's peers in the cybersecurity segment, some have already reported their Q1 results, giving us a hint as to what we can expect. Qualys delivered year-on-year revenue growth of 9.7%, beating analysts' expectations by 1.8%, and Palo Alto Networks reported revenues up 15.3%, topping estimates by 0.5%. Qualys's stock price was unchanged after the results, while Palo Alto Networks was down 6.9%. Read our full analysis of Qualys's results here and Palo Alto Networks's results here. There has been positive sentiment among investors in the cybersecurity segment, with share prices up 7.3% on average over the last month. Okta is up 18.3% during the same time and is heading into earnings with an average analyst price target of $123.56 (compared to the current share price of $124). Unless you've been living under a rock, it should be obvious by now that generative AI is going to have a huge impact on how large corporations do business. While Nvidia and AMD are trading close to all-time highs, we prefer a lesser-known (but still profitable) semiconductor stock benefiting from the rise of AI. Click here to access our free report on our favorite semiconductor growth story. Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
