Bolster is excited to share a major landmark in our path to making the internet a safer place for all. Today we are announcing a $14 million Series B financing round led by new investor M12, Microsoft’s venture fund.
Existing investors Thomvest Ventures, Crosslink Capital, Liberty Global Ventures, Cheyenne Ventures, Cervin Ventures, and Transform Capital also participated. The financing brings Bolster’s total funding to over $40 million. The continued support for Bolster highlights the industry’s focus on AI investments to elevate multi-channel threat protection for organizations globally.
“Monitoring Bolster’s journey from its early days, I am thoroughly impressed by their innovative application of AI to proactively identify and neutralize fraudulent activities by targeting the very infrastructure of these attacks,” said Todd Graham, partner at M12, formerly Microsoft Ventures.
How does this impact Bolster?
With the addition of our Series B, Bolster will continue to provide industry leaders with tools to access real-time detection and response plans to combat digital threats and impersonation attacks.
With a focus on scaling detection and takedowns to match the growing rate of online scams worldwide, Bolster now has furthered support to research and develop our AI platform capabilities to continue to meet the needs of each unique security team. We will continue to grow our innovative team, and move forward with AI-led product capabilities that provide protection from multi-channel threats and impersonation scams.
Bringing our Customers Coordinated Defense Technology Against Multi-Channel Attacks
At Bolster, we know the crux of cybersecurity defense falls in your team’s ability to identify and manage a wide array of threats and impersonation scams targeting your business from multiple attack vectors.
The multi-channel threat problem is creating a significant challenge for security teams as they strive to protect organizations from breaches and scams for four key reasons:
- Deceptive links through email remain the primary vector for phishing attacks and have become a challenging obstacle for existing Email Security solutions. According to the 2024 Verizon Data Breach Investigations Report, phishing and pretexting via email continue to be the leading cause of incidents, accounting for 73% of breaches.
- Attackers are utilizing a multi-pronged approach to execute attacks, including Internet, social media, and other communication channels to impersonate both individuals and brands in their attempts to deceive unsuspecting victims into disclosing sensitive data.
- The escalating volume and complexity of these attacks have overwhelmed SOC and threat intelligence teams who are unable to mitigate every critical threat with their given resources.
- The plethora of sources adds to the challenge, as the noise and complexity make it difficult for teams to decipher the relevant signals amidst the overwhelming amount of data and potential threats.
With existing detection methods proving inadequate and outdated, the manual overhead required to address digital threats is substantial, and not realistic for businesses looking to protect their branded assets, their employees, and customers.
That’s why Bolster has developed a multi-pronged approach to threat detection and takedowns, helping security teams combat threats targeting their businesses from a wider lens. Our in-house architecture crawls the internet and scans pages like a human would, with the ability to decipher intention in milliseconds. With the ability to scan over 4 million web pages simultaneously, we will identify scam campaigns as they form, instead of waiting for them to hit your mailbox.
If (and when) threat actors reach your channels, whether it’s through social media accounts, fake app store postings, and more, our LLM engine conducts takedowns faster than legacy processes. We have established relationships with hosting providers, and trained CoPilots to facilitate takedown conversations with human conversation understand, but AI-speed.
By targeting multi-channel attacks from their point of origin, Bolster is helping clear the internet of harmful scammers and money-hungry bad actors, and allowing businesses to focus time and operations on their product and operations.
What’s Next for Us?
With our latest funding round, our Bolster team is united towards our goal of providing visibility into malicious activity occurring in our customer’s attack space, and taking down threats as they arise. In the past year, Bolster has introduced eight cutting-edge LLM technology-based transformers, capable of detecting and eliminating phishing threats before they can even reach an email. Bolster’s engineers and researchers constantly update their deposition engine and orchestrator with the latest intent models for text and vision, continuing to bring our cutting edge, customer-centric technology to the market.
Bolster’s platform advancements leverage generative AI’s application to cybersecurity. In the past year, Bolster has introduced eight cutting-edge LLM technology-based transformers, capable of detecting and eliminating phishing threats before they can even reach an email. Bolster’s engineers and researchers constantly update their deposition engine and orchestrator with the latest intent models for text and vision, making Bolster’s generative AI ethical and resilient against data bias.
We are putting a larger emphasis on go-to-market plans that best inform our new and lifelong customers, to ensure teams have both the technology and the training to visualize business-critical risks targeting their ecosystem and can prioritize resources to have the greatest impact.
You can expect to find Bolster at the upcoming security events this year, where we will share our insights into early warning signs and automated detection for multi-channel attacks, and demo our AI-powered takedown solutions to eradicate threats when they do occur.
If you’re interested in how Bolster targets threats across multiple attack vectors on the internet, check out our self-guided demos today.
