2026 Q3 - tulosraportti
90 päivää sittenTarjoustasot
Määrä
Osto
-
Myynti
Määrä
-
Viimeisimmät kaupat
| Aika | Hinta | Määrä | Ostaja | Myyjä |
|---|---|---|---|---|
| - | - | - | - |
Huomioi, että vaikka osakkeisiin säästäminen on pitkällä aikavälillä tuottanut hyvin, tulevasta tuotosta ei ole takeita. On olemassa riski, että et saa sijoittamiasi varoja takaisin.
Rahastot ja ETF:t, joilla on osaketta
Mikään rahasto ei ilmoita osaketta kymmenen suurimman omistuksensa joukossa.
Asiakkaat katsoivat myös
Yhtiötapahtumat
Datan lähde: FactSet| Seuraava tapahtuma | |
|---|---|
2027 Q1 - tulosraportti 4.1.2027 |
| Menneet tapahtumat | ||
|---|---|---|
2026 Q3 - tulosraportti 26.6. | ||
2026 Q2 - tulosraportti 31.3. | ||
2026 Q4 - tulosraportti 12.2. | ||
2026 Q1 - tulosraportti 29.12.2025 | ||
2025 Q4 - tulosraportti 1.12.2025 |
Uutiset
Ei artikkeleita omalla kielelläsiUutisia on saatavilla muilla kielillä.
Tämän sivun uutiset ja/tai sijoitussuositukset tai otteet niistä sekä niihin liittyvät linkit ovat mainitun tahon tuottamia ja toimittamia. Nordnet ei ole osallistunut materiaalin laatimiseen, eikä ole tarkistanut sen sisältöä tai tehnyt sisältöön muutoksia. Lue lisää sijoitussuosituksista.
Foorumi
Liity keskusteluun Nordnet Socialissa
Kirjaudu
15.8.Datavault AI Will Acquire CyberCatch in an All-Cash Transaction Adding AI-Driven, Quantum-Resistant Cyber Risk Mitigation to Its Quantum-Secured Edge Platform. Data Vault® Artificial Intelligence Platform (AIP) will be enhanced with automatic cybersecurity check and resolution capabilities. Datavault AI Inc. (“Datavault AI” or the “Company”) (NASDAQ: DVLT), a provider of data monetization, credentialing, digital engagement, and real-world asset (“RWA”) tokenization technologies, today announced they have signed a definitive agreement under which Datavault AI will acquire 100% of CyberCatch Holdings, Inc. (TSXV: CYBE) (OTCQB: CYBHF), a cybersecurity company offering a patented, AI-enabled platform for continuous compliance and cyber risk mitigation, in an all-cash transaction structured as a court-approved plan of arrangement under the Business Corporations Act (British Columbia). The acquisition is expected to bring CyberCatch’s AI-enabled continuous compliance and cyber risk mitigation platform into Datavault AI’s Quantum Private Network (QPN) GPU ecosystem, addressing a global information security market that Gartner projected would reach $213 billion in 2025. Under the definitive agreement, Datavault AI will acquire all of CyberCatch’s issued and outstanding common shares, approximately 26.8 million shares, for USD $94,500,000 in cash, representing USD $3.53 per share to CyberCatch’s shareholders. All outstanding dilutive securities of CyberCatch will be exchanged on a cashless-exercise basis. Upon closing, subject to customary board, stock exchange, and any necessary regulatory and shareholder approvals, CyberCatch is expected to operate as a subsidiary of Datavault AI from San Diego, California, with CyberCatch founder, Chairman, and Chief Executive Officer Sai Huda serving as President of the subsidiary and reporting to Nathaniel T. Bradley, CEO of Datavault AI. ---------------------------------------------------------- About CyberCatch’s Platform and Leadership CyberCatch’s patented, AI-enabled continuous cybersecurity compliance and risk mitigation platform uses generative AI to confirm that all legally required controls are in place and to calculate a Cyber Hygiene Score, and uses agentic AI to continuously simulate threat-actor tactics, techniques, and procedures, perform penetration tests, and calculate a Cyber Breach Score. The platform is designed to detect gaps for prompt remediation before a threat actor can exploit them. The platform tests cybersecurity controls continuously from three dimensions: outside-in, inside-out, and social engineering, mapping to NIST CSF 2.0, NIST 800-171, CMMC 2.0, ISO 27001, HIPAA, PCI DSS, and other regulated frameworks, replacing once-a-year manual penetration tests with continuous agentic AI penetration testing using specialized skill-set agents. Most companies cannot afford the human experts and time a comprehensive penetration test requires, and those that can typically perform one only once a year; a gap CyberCatch’s platform is designed to close across sectors and geographies. CyberCatch’s agentic AI solution is comprised of specialized agents with the skill sets of an attacker, each performing specific tasks such as reconnaissance, vulnerability detection, selection of attacker tactics, techniques, and procedures, vulnerability exploitation, evidence gathering, reporting, and risk mitigation recommendations. The platform provides dashboard reporting mapped to cybersecurity control failures and compliance status against frameworks such as NIST CSF 2.0, NIST 800-171, CMMC, HIPAA, CAN/DGC 104, and EU NIS, among others, for root cause analysis and targeted risk mitigation. CyberCatch’s patent-pending MARS-MABE technology is designed to provide several advantages over current RSA and AES-256 encryption, including granting data access only when fine-grained user attributes are met, limiting user access to fine-grained data subsets, and enabling instant revocation of user access to data subsets without the need to re-encrypt the entire data set, providing speed and cost savings. --------------------------------------- https://www.morningstar.com/news/business-wire/20260814352898/datavault-ai-will-acquire-cybercatch-in-an-all-cash-transaction
Yllä olevat kommentit ovat peräisin Nordnetin sosiaalisen verkoston Nordnet Socialin käyttäjiltä, eikä niitä ole muokattu eikä Nordnet ole tarkastanut niitä etukäteen. Ne eivät tarkoita, että Nordnet tarjoaisi sijoitusneuvoja tai sijoitussuosituksia. Nordnet ei ota vastuuta kommenteista.
Välittäjätilasto
Dataa ei löytynyt
2026 Q3 - tulosraportti
90 päivää sittenUutiset
Ei artikkeleita omalla kielelläsiUutisia on saatavilla muilla kielillä.
Tämän sivun uutiset ja/tai sijoitussuositukset tai otteet niistä sekä niihin liittyvät linkit ovat mainitun tahon tuottamia ja toimittamia. Nordnet ei ole osallistunut materiaalin laatimiseen, eikä ole tarkistanut sen sisältöä tai tehnyt sisältöön muutoksia. Lue lisää sijoitussuosituksista.
Foorumi
Liity keskusteluun Nordnet Socialissa
Kirjaudu
- 15.8.Datavault AI Will Acquire CyberCatch in an All-Cash Transaction Adding AI-Driven, Quantum-Resistant Cyber Risk Mitigation to Its Quantum-Secured Edge Platform. Data Vault® Artificial Intelligence Platform (AIP) will be enhanced with automatic cybersecurity check and resolution capabilities. Datavault AI Inc. (“Datavault AI” or the “Company”) (NASDAQ: DVLT), a provider of data monetization, credentialing, digital engagement, and real-world asset (“RWA”) tokenization technologies, today announced they have signed a definitive agreement under which Datavault AI will acquire 100% of CyberCatch Holdings, Inc. (TSXV: CYBE) (OTCQB: CYBHF), a cybersecurity company offering a patented, AI-enabled platform for continuous compliance and cyber risk mitigation, in an all-cash transaction structured as a court-approved plan of arrangement under the Business Corporations Act (British Columbia). The acquisition is expected to bring CyberCatch’s AI-enabled continuous compliance and cyber risk mitigation platform into Datavault AI’s Quantum Private Network (QPN) GPU ecosystem, addressing a global information security market that Gartner projected would reach $213 billion in 2025. Under the definitive agreement, Datavault AI will acquire all of CyberCatch’s issued and outstanding common shares, approximately 26.8 million shares, for USD $94,500,000 in cash, representing USD $3.53 per share to CyberCatch’s shareholders. All outstanding dilutive securities of CyberCatch will be exchanged on a cashless-exercise basis. Upon closing, subject to customary board, stock exchange, and any necessary regulatory and shareholder approvals, CyberCatch is expected to operate as a subsidiary of Datavault AI from San Diego, California, with CyberCatch founder, Chairman, and Chief Executive Officer Sai Huda serving as President of the subsidiary and reporting to Nathaniel T. Bradley, CEO of Datavault AI. ---------------------------------------------------------- About CyberCatch’s Platform and Leadership CyberCatch’s patented, AI-enabled continuous cybersecurity compliance and risk mitigation platform uses generative AI to confirm that all legally required controls are in place and to calculate a Cyber Hygiene Score, and uses agentic AI to continuously simulate threat-actor tactics, techniques, and procedures, perform penetration tests, and calculate a Cyber Breach Score. The platform is designed to detect gaps for prompt remediation before a threat actor can exploit them. The platform tests cybersecurity controls continuously from three dimensions: outside-in, inside-out, and social engineering, mapping to NIST CSF 2.0, NIST 800-171, CMMC 2.0, ISO 27001, HIPAA, PCI DSS, and other regulated frameworks, replacing once-a-year manual penetration tests with continuous agentic AI penetration testing using specialized skill-set agents. Most companies cannot afford the human experts and time a comprehensive penetration test requires, and those that can typically perform one only once a year; a gap CyberCatch’s platform is designed to close across sectors and geographies. CyberCatch’s agentic AI solution is comprised of specialized agents with the skill sets of an attacker, each performing specific tasks such as reconnaissance, vulnerability detection, selection of attacker tactics, techniques, and procedures, vulnerability exploitation, evidence gathering, reporting, and risk mitigation recommendations. The platform provides dashboard reporting mapped to cybersecurity control failures and compliance status against frameworks such as NIST CSF 2.0, NIST 800-171, CMMC, HIPAA, CAN/DGC 104, and EU NIS, among others, for root cause analysis and targeted risk mitigation. CyberCatch’s patent-pending MARS-MABE technology is designed to provide several advantages over current RSA and AES-256 encryption, including granting data access only when fine-grained user attributes are met, limiting user access to fine-grained data subsets, and enabling instant revocation of user access to data subsets without the need to re-encrypt the entire data set, providing speed and cost savings. --------------------------------------- https://www.morningstar.com/news/business-wire/20260814352898/datavault-ai-will-acquire-cybercatch-in-an-all-cash-transaction
Yllä olevat kommentit ovat peräisin Nordnetin sosiaalisen verkoston Nordnet Socialin käyttäjiltä, eikä niitä ole muokattu eikä Nordnet ole tarkastanut niitä etukäteen. Ne eivät tarkoita, että Nordnet tarjoaisi sijoitusneuvoja tai sijoitussuosituksia. Nordnet ei ota vastuuta kommenteista.
Tarjoustasot
Määrä
Osto
-
Myynti
Määrä
-
Viimeisimmät kaupat
| Aika | Hinta | Määrä | Ostaja | Myyjä |
|---|---|---|---|---|
| - | - | - | - |
Huomioi, että vaikka osakkeisiin säästäminen on pitkällä aikavälillä tuottanut hyvin, tulevasta tuotosta ei ole takeita. On olemassa riski, että et saa sijoittamiasi varoja takaisin.
Rahastot ja ETF:t, joilla on osaketta
Mikään rahasto ei ilmoita osaketta kymmenen suurimman omistuksensa joukossa.
Asiakkaat katsoivat myös
Yhtiötapahtumat
Datan lähde: FactSet| Seuraava tapahtuma | |
|---|---|
2027 Q1 - tulosraportti 4.1.2027 |
| Menneet tapahtumat | ||
|---|---|---|
2026 Q3 - tulosraportti 26.6. | ||
2026 Q2 - tulosraportti 31.3. | ||
2026 Q4 - tulosraportti 12.2. | ||
2026 Q1 - tulosraportti 29.12.2025 | ||
2025 Q4 - tulosraportti 1.12.2025 |
Välittäjätilasto
Dataa ei löytynyt
2026 Q3 - tulosraportti
90 päivää sittenUutiset
Ei artikkeleita omalla kielelläsiUutisia on saatavilla muilla kielillä.
Tämän sivun uutiset ja/tai sijoitussuositukset tai otteet niistä sekä niihin liittyvät linkit ovat mainitun tahon tuottamia ja toimittamia. Nordnet ei ole osallistunut materiaalin laatimiseen, eikä ole tarkistanut sen sisältöä tai tehnyt sisältöön muutoksia. Lue lisää sijoitussuosituksista.
Yhtiötapahtumat
Datan lähde: FactSet| Seuraava tapahtuma | |
|---|---|
2027 Q1 - tulosraportti 4.1.2027 |
| Menneet tapahtumat | ||
|---|---|---|
2026 Q3 - tulosraportti 26.6. | ||
2026 Q2 - tulosraportti 31.3. | ||
2026 Q4 - tulosraportti 12.2. | ||
2026 Q1 - tulosraportti 29.12.2025 | ||
2025 Q4 - tulosraportti 1.12.2025 |
Foorumi
Liity keskusteluun Nordnet Socialissa
Kirjaudu
- 15.8.Datavault AI Will Acquire CyberCatch in an All-Cash Transaction Adding AI-Driven, Quantum-Resistant Cyber Risk Mitigation to Its Quantum-Secured Edge Platform. Data Vault® Artificial Intelligence Platform (AIP) will be enhanced with automatic cybersecurity check and resolution capabilities. Datavault AI Inc. (“Datavault AI” or the “Company”) (NASDAQ: DVLT), a provider of data monetization, credentialing, digital engagement, and real-world asset (“RWA”) tokenization technologies, today announced they have signed a definitive agreement under which Datavault AI will acquire 100% of CyberCatch Holdings, Inc. (TSXV: CYBE) (OTCQB: CYBHF), a cybersecurity company offering a patented, AI-enabled platform for continuous compliance and cyber risk mitigation, in an all-cash transaction structured as a court-approved plan of arrangement under the Business Corporations Act (British Columbia). The acquisition is expected to bring CyberCatch’s AI-enabled continuous compliance and cyber risk mitigation platform into Datavault AI’s Quantum Private Network (QPN) GPU ecosystem, addressing a global information security market that Gartner projected would reach $213 billion in 2025. Under the definitive agreement, Datavault AI will acquire all of CyberCatch’s issued and outstanding common shares, approximately 26.8 million shares, for USD $94,500,000 in cash, representing USD $3.53 per share to CyberCatch’s shareholders. All outstanding dilutive securities of CyberCatch will be exchanged on a cashless-exercise basis. Upon closing, subject to customary board, stock exchange, and any necessary regulatory and shareholder approvals, CyberCatch is expected to operate as a subsidiary of Datavault AI from San Diego, California, with CyberCatch founder, Chairman, and Chief Executive Officer Sai Huda serving as President of the subsidiary and reporting to Nathaniel T. Bradley, CEO of Datavault AI. ---------------------------------------------------------- About CyberCatch’s Platform and Leadership CyberCatch’s patented, AI-enabled continuous cybersecurity compliance and risk mitigation platform uses generative AI to confirm that all legally required controls are in place and to calculate a Cyber Hygiene Score, and uses agentic AI to continuously simulate threat-actor tactics, techniques, and procedures, perform penetration tests, and calculate a Cyber Breach Score. The platform is designed to detect gaps for prompt remediation before a threat actor can exploit them. The platform tests cybersecurity controls continuously from three dimensions: outside-in, inside-out, and social engineering, mapping to NIST CSF 2.0, NIST 800-171, CMMC 2.0, ISO 27001, HIPAA, PCI DSS, and other regulated frameworks, replacing once-a-year manual penetration tests with continuous agentic AI penetration testing using specialized skill-set agents. Most companies cannot afford the human experts and time a comprehensive penetration test requires, and those that can typically perform one only once a year; a gap CyberCatch’s platform is designed to close across sectors and geographies. CyberCatch’s agentic AI solution is comprised of specialized agents with the skill sets of an attacker, each performing specific tasks such as reconnaissance, vulnerability detection, selection of attacker tactics, techniques, and procedures, vulnerability exploitation, evidence gathering, reporting, and risk mitigation recommendations. The platform provides dashboard reporting mapped to cybersecurity control failures and compliance status against frameworks such as NIST CSF 2.0, NIST 800-171, CMMC, HIPAA, CAN/DGC 104, and EU NIS, among others, for root cause analysis and targeted risk mitigation. CyberCatch’s patent-pending MARS-MABE technology is designed to provide several advantages over current RSA and AES-256 encryption, including granting data access only when fine-grained user attributes are met, limiting user access to fine-grained data subsets, and enabling instant revocation of user access to data subsets without the need to re-encrypt the entire data set, providing speed and cost savings. --------------------------------------- https://www.morningstar.com/news/business-wire/20260814352898/datavault-ai-will-acquire-cybercatch-in-an-all-cash-transaction
Yllä olevat kommentit ovat peräisin Nordnetin sosiaalisen verkoston Nordnet Socialin käyttäjiltä, eikä niitä ole muokattu eikä Nordnet ole tarkastanut niitä etukäteen. Ne eivät tarkoita, että Nordnet tarjoaisi sijoitusneuvoja tai sijoitussuosituksia. Nordnet ei ota vastuuta kommenteista.
Tarjoustasot
Määrä
Osto
-
Myynti
Määrä
-
Viimeisimmät kaupat
| Aika | Hinta | Määrä | Ostaja | Myyjä |
|---|---|---|---|---|
| - | - | - | - |
Huomioi, että vaikka osakkeisiin säästäminen on pitkällä aikavälillä tuottanut hyvin, tulevasta tuotosta ei ole takeita. On olemassa riski, että et saa sijoittamiasi varoja takaisin.
Rahastot ja ETF:t, joilla on osaketta
Mikään rahasto ei ilmoita osaketta kymmenen suurimman omistuksensa joukossa.
Asiakkaat katsoivat myös
Välittäjätilasto
Dataa ei löytynyt