Q&A: Securin’s New CEO Talks AI, Real-World Attack Defense, and the Future of Cybersecurity

Cybersecurity firm Securin just named Dr. Srinivas Mukkamala as its new CEO — and it looks like the timing couldn’t be more perfect.

With years of experience in Adversarial Exposure Validation (AEV), a testing method that simulates real-world attacks, Mukkamala brings exactly what Securin needs, said board member Rohini Kasturi.

“Sri’s unwavering product-first mindset, coupled with his deep expertise in AI security, uniquely positions him to lead Securin in realizing its bold vision,” said Kasturi.

Mukkamala brings decades of experience, previously serving as Chief Scientist for the U.S. Department of Defense on the Computational Analysis of Cyber Terrorism against the U.S. (CACTUS).

He also founded RiskSense, which was acquired in 2021 by IT software company Ivanti, where he served as Chief Product Officer.

Specifically, Securin plans to focus on three main priorities under Mukkamala’s leadership:

• Securing AI adoption through AEV
• Unifying enterprise protection across complex environments
• Enhancing threat visibility with intelligent, attacker-focused insights

“Cybersecurity must evolve as fast as attackers do, and AI is key to staying ahead,” said Mukkamala.

The need for greater defenses is obvious as advanced threat attacks, including ransomware-as-a-service, grow and highly sensitive industries are increasingly targeted.

“I look forward to guiding the team as we build solutions that unify enterprise security, deliver attacker-focused threat perspectives, and use AI to make threat detection, validation, and response more precise and scalable,” Mukkamala said.

HostingAdvice spoke with Mukkamala about how Securin is going beyond traditional vulnerability management to help companies, providers, and SMBs stay ahead of threats.

A: “AI-driven Attack Exposure Validation (AEV) revolutionizes cybersecurity by tackling toxic combinations — chained CVEs, CWEs, and misconfigurations — beyond static vulnerability scans.

Unlike traditional methods that list individual CVEs, AEV uses AI to simulate attack paths, chaining CVEs (e.g., CVE-2023-1234 + CVE-2023-5678) and mapping them to CWEs (e.g., CWE-89 SQL injection) or misconfigs (e.g., open ports).

This prioritizes high-risk exploit chains, reducing noise and speeding up remediation.”

A: “Securin’s Automated Pen Testing and AI Red Teaming identify toxic combinations in AI systems, like chained CVEs or misconfigs exposing models to attacks (e.g., CWE-502 deserialization flaws).

Automated tests simulate real-world exploits, while red teaming probes AI for weaknesses like adversarial inputs, ensuring secure AI adoption without introducing risks from unpatched CVEs or misconfigured environments.”

A: “Integrate AI insights gradually, focusing on toxic combos (CVEs, CWEs, misconfigs) via API-driven compatibility with existing tools.

Use sandbox testing to validate chained exploit detection, maintain human oversight for context, and ensure compliance to avoid disruptions while enhancing infrastructure resilience.”

A: “AI-driven cybersecurity must address toxic combinations — chained CVEs, CWEs, and misconfigs — to prevent cascading breaches.

Organizations should use AI to map attack paths, prioritize fixes, and secure AI systems against adversarial exploits, ensuring robust defense in all environments.”

Most providers are privy to the ongoing changes in the cybersecurity landscape, so it makes sense that the next step is naturally to embrace AI-driven defenses.

Here are a few things hosting providers can take away from Mukkamala’s Q&A:

• AI-driven security is the future. Traditional scans nowadays often miss complex attack patterns. Techniques like AEV use AI to simulate common attacks so it’s easier to spot vulnerabilities right away.
• Protect AI workloads. As hosting environments continue to support more AI workloads, automated pentesting and AI red teaming are likely to become a default in uncovering hidden flaws.
• Seamless integration is key. Adding new security tools is exciting, yes — but gradual adoption of AI-powered solutions gives providers the time to vet and strengthen defenses first.