AI-driven attacks overwhelm security teams in 2026

Security teams face a surge in AI-driven cyberattacks in 2026 while struggling to separate real risks from false positives, according to new research from cybersecurity company Hadrian.

The company said two out of three CISOs and security experts rank AI-driven threats as their top concern for 2026. It also reported that 99.5% of the findings handled by security teams are false positives, with just 0.47% of security issues considered exploitable.

Hadrian said the volume of non-actionable alerts pushes teams toward ticket management rather than remediation. It said this leaves organisations exposed to cyber threats that security teams may not recognise.

"Traditional defensive cybersecurity will no longer be sufficient in an AI-first world in 2026," said Rogier Fischer, CEO, Hadrian. "The only viable path forward is a decisive shift toward continuous, offensive cybersecurity, powered by automation and real-world exploit validation."

Alert overload

Hadrian's research described an industry under strain from large alert volumes and limited visibility over emerging attack paths linked to AI-driven techniques. It said nearly 90% of all verified exposures are rated medium or low severity. The company said this pattern contributes to alert fatigue and makes it harder for teams to find the small share of issues that attackers can exploit.

Critical exposures represent 3% of validated findings, Hadrian said. It argued these issues often sit among thousands of other alerts competing for attention.

"The biggest risk going into 2026 isn't that organisations lack security tools. It's that they no longer know which threats are real while attackers know exactly where to strike," said Fischer.

AI tactics

Hadrian said attackers now use automation, large language models and AI-assisted reconnaissance. It said these methods can speed up the process of finding vulnerabilities, exploiting them, and linking weaknesses within short timeframes.

The company contrasted that with defensive operations that still rely on manual validation and internal prioritisation cycles. It said this slows down decision-making when attackers operate quickly and repeatably.

Remediation gaps

The research included figures on remediation timelines. Hadrian said critical vulnerabilities take an average of four days to remediate. It said some remain open for more than four months.

The company also pointed to a difference in response when organisations treat an issue as urgent. It said 94% of zero-day vulnerabilities are remediated within five days. Hadrian attributed the variation to confidence about what is exploitable rather than technical constraints.

Offensive shift

Hadrian said its findings point to a need for continuous testing and exploit validation. It described this as a shift in security approach that aligns more closely with attacker behaviour. The company said attackers test environments and attempt exploit chains on an ongoing basis.

It said defenders face pressure to adopt automation, adversarial emulation and continuous exploit validation. It described this as a broader organisational change rather than a simple product upgrade.

"The industry has treated offensive cybersecurity as something advanced or optional for too long," said Rogier Fischer, CEO, Hadrian. "It should be the baseline. If you're not continuously testing your environment the way attackers do, you're no longer defending, you're guessing."

Hadrian based its benchmark report on verified risk data collected throughout 2025 and quantitative survey research. The company said it analysed verified risk data from more than 300 organisations across the US, the UK, the Netherlands, Germany, France, and Italy. It also cited a focus group of 34 enterprise CISOs and senior security operations leaders, along with cross-validation of platform telemetry, attacker behaviour, and executive insights.

Hadrian said the volume of findings and the low share of exploitable issues will continue to put pressure on security teams through 2026, as AI-driven reconnaissance and automation shorten the time between discovery and exploitation.